Traditional Testing vs MaTeLo Model-Based Testing Tool v2.06
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Interactive Slideshow of Model-Based Testing advantages using the MaTeLo Model-Based Testing Tool versus traditional testing. Using Key performance indicator, see how you earn test coverage (paths, Equivalence classes, Data, Requirements, Conditions, Decisions...). From a test design model of your system or business rules , MaTeLo generates automatically test cases and test scripts, with the best coverage. Earn at least 30% of time using MaTeLo and increase you test coverage. Watch animation with sound : https://www.youtube.com/watch?v=j-MkPoLTCFw Download ppt : http://www.all4tec.net/images/Booklet/SlideShow-MaTeLo-Model-Based-Testing-v2.06.ppsx Visit our website : http://www.all4tec.net/MaTeLo/homematelo.html
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Traditional Testing vs MaTeLo Model-Based Testing Tool v2.06
- 1. Traditional Testing vs Model-Based Testing & MaTeLo Presentation MaTeLo implements a Model-Based Testing approach in a user-friendly environment. Starting from application usages, business requirements or user stories, testers design models able to automatically generate optimized test suites based on risk analysis, coverage and expected results. Test suites can be exported either to automatic execution tools or to test management tools for manual execution. Fabrice TROLLET MaTeLo Product Manager Fabrice.trollet@all4tec.net Tél : + 33 (0)6 28 07 08 21 Odyssée E, 2 Chemin des Fermes – 91300 MASSY Tél. : + 33 (0)2 43 49 75 30 – Fax : + 33 (0)2 43 49 75 33 – www.all4tec.net
- 2. vs Difference between Traditional Testing and Model Based Testing
- 3. Traditional Testing vs Difference between Traditional Testing and Model Based Testing
- 4. Model-Based TestingTraditional Testing vs Difference between Traditional Testing and Model Based Testing
- 13. Traditional Testing Test Analysis Click Here… …Check That Control This…
- 14. Traditional Testing Test Analysis Click Here… …Check That Control This… Did I forget something to test ?
- 15. Traditional Testing Test Analysis Click Here… …Check That Control This… Did I forget something to test ? What is more important to test today ?
- 16. Traditional Testing Test Analysis Click Here… …Check That Control This… Did I forget something to test ? What is more important to test today ?
- 17. Traditional Testing Test Analysis Click Here… …Check That Control This… Did I forget something to test ? What is more important to test today ?
- 18. Traditional Testing Test Analysis Click Here… …Check That Control This… Did I forget something to test ? What is more important to test today ?
- 19. Traditional Testing Test Analysis Click Here… …Check That Control This… Did I forget something to test ? What is more important to test today ?
- 20. Traditional Testing Test Analysis Click Here… …Check That Control This… Did I forget something to test ? What is more important to test today ?
- 21. Traditional Testing Test Analysis Click Here… …Check That Control This… Did I forget something to test ? What is more important to test today ?
- 22. Traditional Testing Test Analysis Click Here… …Check That Control This… Did I forget something to test ? What is more important to test today ?
- 23. Traditional Testing Test Analysis Click Here… …Check That Control This… Did I forget something to test ? What is more important to test today ?
- 33. Model-Based Testing What are the functional usages of my system ? What are my system expected results ?
- 34. Model-Based Testing What are the functional usages of my system ? What are my system expected results ?
- 50. Model-Based Testing What are the functional usages of my system ? What are my system expected results ?
- 51. Model-Based Testing What are the functional usages of my system ? What are my system expected results ?
- 52. Model-Based Testing What are the functional usages of my system ? What are my system expected results ?
- 53. Model-Based Testing What are the functional usages of my system ? What are my system expected results ?
- 54. Model-Based Testing What are the functional usages of my system ? What are my system expected results ?
- 55. Model-Based Testing What are the functional usages of my system ? What are my system expected results ?
- 56. Model-Based Testing What are the functional usages of my system ? What are my system expected results ?
- 57. Model-Based Testing What are the functional usages of my system ? What are my system expected results ?
- 58. Model-Based Testing What are the functional usages of my system ? What are my system expected results ?
- 59. Model-Based Testing What are the functional usages of my system ? What are my system expected results ?
- 60. Model-Based Testing What are the functional usages of my system ? What are my system expected results ?
- 61. Test Application Life cycle strategy 16 Most probable approach Start Close FREQUENCY FOCUS Start Close Usage & Risk based Approach Custom Test profile CRITICALITY, COMPLEXITY UPDATE FOCUS Arc Coverage approach Close Start REQUIREMENTS COVERAGE Usage Test profile Random approach Start Close OPERATIONAL COVERAGE Δ Sprint approach SPRINT N+1 - SPRINT N COVERAGE Sprint 1..n Start Close Sprint n+1 SMOKE TESTING RISK BASED TESTING REGRESSION TESTING COMBINATORY USAGE TESTING EVOLUTION TESTING Without Regression
- 62. Model-Based Testing What are the functional usages of my system ? What are my system expected results ?
- 63. Model-Based Testing What are the functional usages of my system ? What are my system expected results ?
- 64. Model-Based Testing What are the functional usages of my system ? What are my system expected results ?
- 65. Model-Based Testing What are the functional usages of my system ? What are my system expected results ? What are the new functionalities ?
- 66. Model-Based Testing What are the functional usages of my system ? What are my system expected results ? What are the new functionalities ?
- 67. Model-Based Testing What are the functional usages of my system ? What are my system expected results ? What are the new functionalities ?
- 69. 10 Dynamic Oracle (Expected Results)
- 70. 11 Automated Test Suite Implementation
- 72. MaTeLo Plugin
- 73. Agile Model-Based Testing Process
- 74. Model Based Testing continuous integration
- 76. Thank you for your attention 8 Fabrice TROLLET MaTeLo Product Manager Fabrice.trollet@all4tec.net Tél : + 33 (0)6 28 07 08 21 Odyssée E, 2 Chemin des Fermes – 91300 MASSY Tél. : + 33 (0)2 43 49 75 30 – Fax : + 33 (0)2 43 49 75 33 – www.all4tec.net
Editor's Notes
- Lets compare different ways to test these systems : [Click] With The traditional testing process, the testers write a manual test suite, [Click] With MaTeLo Model-Based Testing Solution the tests suite and executable tests are directly generated from a test model design. Lets see in detail.
- Lets compare different ways to test these systems : [Click] With The traditional testing process, the testers write a manual test suite, [Click] With MaTeLo Model-Based Testing Solution the tests suite and executable tests are directly generated from a test model design. Lets see in detail.
- Lets compare different ways to test these systems : [Click] With The traditional testing process, the testers write a manual test suite, [Click] With MaTeLo Model-Based Testing Solution the tests suite and executable tests are directly generated from a test model design. Lets see in detail.
- So what was the traditional testing in the past? In order to test a system, you need to know how it works! Usages of your system can be described through structural requirements such as HP ALM Quality center requirements, or IBM Doors Requirements, or functional need documents, or even from Agile user stories! Then, a Test Designer needs to analyze these requirements. He needs to imagine what could be the tests sceneries needed to be build in order to cover requirements, Unfortunately, he might forget thinking of some test cases, and he can not be sure to cover all of the usages of his system. And each time the Test Designer wants to change his test strategy, he needs to rethink his previous test sceneries. This can take a lot of time and effort After having imagined the test cases in his head, the test designer manually writes all the test cases decomposed in test steps, including expected result for each test step. Then, the list of test cases are stored as a test suite. This list of test cases can be managed with test manager tool such as, for example H.P. A.L.M. Quality Center or Test Link. Tests are now available to be manually executed by manual testers. But manual execution takes a long time and can be tidious, especially if you deal with regression tests! To earn time, especially if you re-execute the same tests, the automation tester develops test scripts from tests suite. Nevertheless, maintaining test scripts when updating test cases following functional modifications, can be very difficult, and time consuming. When scripts are ready, they can be executed into the test bench environment in order to run test campaigns, find defects, and generate a test report.
- So what was the traditional testing in the past? In order to test a system, you need to know how it works! Usages of your system can be described through structural requirements such as HP ALM Quality center requirements, or IBM Doors Requirements, or functional need documents, or even from Agile user stories! Then, a Test Designer needs to analyze these requirements. He needs to imagine what could be the tests sceneries needed to be build in order to cover requirements, Unfortunately, he might forget thinking of some test cases, and he can not be sure to cover all of the usages of his system. And each time the Test Designer wants to change his test strategy, he needs to rethink his previous test sceneries. This can take a lot of time and effort After having imagined the test cases in his head, the test designer manually writes all the test cases decomposed in test steps, including expected result for each test step. Then, the list of test cases are stored as a test suite. This list of test cases can be managed with test manager tool such as, for example H.P. A.L.M. Quality Center or Test Link. Tests are now available to be manually executed by manual testers. But manual execution takes a long time and can be tidious, especially if you deal with regression tests! To earn time, especially if you re-execute the same tests, the automation tester develops test scripts from tests suite. Nevertheless, maintaining test scripts when updating test cases following functional modifications, can be very difficult, and time consuming. When scripts are ready, they can be executed into the test bench environment in order to run test campaigns, find defects, and generate a test report.
- So what was the traditional testing in the past? In order to test a system, you need to know how it works! Usages of your system can be described through structural requirements such as HP ALM Quality center requirements, or IBM Doors Requirements, or functional need documents, or even from Agile user stories! Then, a Test Designer needs to analyze these requirements. He needs to imagine what could be the tests sceneries needed to be build in order to cover requirements, Unfortunately, he might forget thinking of some test cases, and he can not be sure to cover all of the usages of his system. And each time the Test Designer wants to change his test strategy, he needs to rethink his previous test sceneries. This can take a lot of time and effort After having imagined the test cases in his head, the test designer manually writes all the test cases decomposed in test steps, including expected result for each test step. Then, the list of test cases are stored as a test suite. This list of test cases can be managed with test manager tool such as, for example H.P. A.L.M. Quality Center or Test Link. Tests are now available to be manually executed by manual testers. But manual execution takes a long time and can be tidious, especially if you deal with regression tests! To earn time, especially if you re-execute the same tests, the automation tester develops test scripts from tests suite. Nevertheless, maintaining test scripts when updating test cases following functional modifications, can be very difficult, and time consuming. When scripts are ready, they can be executed into the test bench environment in order to run test campaigns, find defects, and generate a test report.
- So what was the traditional testing in the past? In order to test a system, you need to know how it works! Usages of your system can be described through structural requirements such as HP ALM Quality center requirements, or IBM Doors Requirements, or functional need documents, or even from Agile user stories! Then, a Test Designer needs to analyze these requirements. He needs to imagine what could be the tests sceneries needed to be build in order to cover requirements, Unfortunately, he might forget thinking of some test cases, and he can not be sure to cover all of the usages of his system. And each time the Test Designer wants to change his test strategy, he needs to rethink his previous test sceneries. This can take a lot of time and effort After having imagined the test cases in his head, the test designer manually writes all the test cases decomposed in test steps, including expected result for each test step. Then, the list of test cases are stored as a test suite. This list of test cases can be managed with test manager tool such as, for example H.P. A.L.M. Quality Center or Test Link. Tests are now available to be manually executed by manual testers. But manual execution takes a long time and can be tidious, especially if you deal with regression tests! To earn time, especially if you re-execute the same tests, the automation tester develops test scripts from tests suite. Nevertheless, maintaining test scripts when updating test cases following functional modifications, can be very difficult, and time consuming. When scripts are ready, they can be executed into the test bench environment in order to run test campaigns, find defects, and generate a test report.
- So what was the traditional testing in the past? In order to test a system, you need to know how it works! Usages of your system can be described through structural requirements such as HP ALM Quality center requirements, or IBM Doors Requirements, or functional need documents, or even from Agile user stories! Then, a Test Designer needs to analyze these requirements. He needs to imagine what could be the tests sceneries needed to be build in order to cover requirements, Unfortunately, he might forget thinking of some test cases, and he can not be sure to cover all of the usages of his system. And each time the Test Designer wants to change his test strategy, he needs to rethink his previous test sceneries. This can take a lot of time and effort After having imagined the test cases in his head, the test designer manually writes all the test cases decomposed in test steps, including expected result for each test step. Then, the list of test cases are stored as a test suite. This list of test cases can be managed with test manager tool such as, for example H.P. A.L.M. Quality Center or Test Link. Tests are now available to be manually executed by manual testers. But manual execution takes a long time and can be tidious, especially if you deal with regression tests! To earn time, especially if you re-execute the same tests, the automation tester develops test scripts from tests suite. Nevertheless, maintaining test scripts when updating test cases following functional modifications, can be very difficult, and time consuming. When scripts are ready, they can be executed into the test bench environment in order to run test campaigns, find defects, and generate a test report.
- So what was the traditional testing in the past? In order to test a system, you need to know how it works! Usages of your system can be described through structural requirements such as HP ALM Quality center requirements, or IBM Doors Requirements, or functional need documents, or even from Agile user stories! Then, a Test Designer needs to analyze these requirements. He needs to imagine what could be the tests sceneries needed to be build in order to cover requirements, Unfortunately, he might forget thinking of some test cases, and he can not be sure to cover all of the usages of his system. And each time the Test Designer wants to change his test strategy, he needs to rethink his previous test sceneries. This can take a lot of time and effort After having imagined the test cases in his head, the test designer manually writes all the test cases decomposed in test steps, including expected result for each test step. Then, the list of test cases are stored as a test suite. This list of test cases can be managed with test manager tool such as, for example H.P. A.L.M. Quality Center or Test Link. Tests are now available to be manually executed by manual testers. But manual execution takes a long time and can be tidious, especially if you deal with regression tests! To earn time, especially if you re-execute the same tests, the automation tester develops test scripts from tests suite. Nevertheless, maintaining test scripts when updating test cases following functional modifications, can be very difficult, and time consuming. When scripts are ready, they can be executed into the test bench environment in order to run test campaigns, find defects, and generate a test report.
- So what was the traditional testing in the past? In order to test a system, you need to know how it works! Usages of your system can be described through structural requirements such as HP ALM Quality center requirements, or IBM Doors Requirements, or functional need documents, or even from Agile user stories! Then, a Test Designer needs to analyze these requirements. He needs to imagine what could be the tests sceneries needed to be build in order to cover requirements, Unfortunately, he might forget thinking of some test cases, and he can not be sure to cover all of the usages of his system. And each time the Test Designer wants to change his test strategy, he needs to rethink his previous test sceneries. This can take a lot of time and effort After having imagined the test cases in his head, the test designer manually writes all the test cases decomposed in test steps, including expected result for each test step. Then, the list of test cases are stored as a test suite. This list of test cases can be managed with test manager tool such as, for example H.P. A.L.M. Quality Center or Test Link. Tests are now available to be manually executed by manual testers. But manual execution takes a long time and can be tidious, especially if you deal with regression tests! To earn time, especially if you re-execute the same tests, the automation tester develops test scripts from tests suite. Nevertheless, maintaining test scripts when updating test cases following functional modifications, can be very difficult, and time consuming. When scripts are ready, they can be executed into the test bench environment in order to run test campaigns, find defects, and generate a test report.
- So what was the traditional testing in the past? In order to test a system, you need to know how it works! Usages of your system can be described through structural requirements such as HP ALM Quality center requirements, or IBM Doors Requirements, or functional need documents, or even from Agile user stories! Then, a Test Designer needs to analyze these requirements. He needs to imagine what could be the tests sceneries needed to be build in order to cover requirements, Unfortunately, he might forget thinking of some test cases, and he can not be sure to cover all of the usages of his system. And each time the Test Designer wants to change his test strategy, he needs to rethink his previous test sceneries. This can take a lot of time and effort After having imagined the test cases in his head, the test designer manually writes all the test cases decomposed in test steps, including expected result for each test step. Then, the list of test cases are stored as a test suite. This list of test cases can be managed with test manager tool such as, for example H.P. A.L.M. Quality Center or Test Link. Tests are now available to be manually executed by manual testers. But manual execution takes a long time and can be tidious, especially if you deal with regression tests! To earn time, especially if you re-execute the same tests, the automation tester develops test scripts from tests suite. Nevertheless, maintaining test scripts when updating test cases following functional modifications, can be very difficult, and time consuming. When scripts are ready, they can be executed into the test bench environment in order to run test campaigns, find defects, and generate a test report.
- So what was the traditional testing in the past? In order to test a system, you need to know how it works! Usages of your system can be described through structural requirements such as HP ALM Quality center requirements, or IBM Doors Requirements, or functional need documents, or even from Agile user stories! Then, a Test Designer needs to analyze these requirements. He needs to imagine what could be the tests sceneries needed to be build in order to cover requirements, Unfortunately, he might forget thinking of some test cases, and he can not be sure to cover all of the usages of his system. And each time the Test Designer wants to change his test strategy, he needs to rethink his previous test sceneries. This can take a lot of time and effort After having imagined the test cases in his head, the test designer manually writes all the test cases decomposed in test steps, including expected result for each test step. Then, the list of test cases are stored as a test suite. This list of test cases can be managed with test manager tool such as, for example H.P. A.L.M. Quality Center or Test Link. Tests are now available to be manually executed by manual testers. But manual execution takes a long time and can be tidious, especially if you deal with regression tests! To earn time, especially if you re-execute the same tests, the automation tester develops test scripts from tests suite. Nevertheless, maintaining test scripts when updating test cases following functional modifications, can be very difficult, and time consuming. When scripts are ready, they can be executed into the test bench environment in order to run test campaigns, find defects, and generate a test report.
- So what was the traditional testing in the past? In order to test a system, you need to know how it works! Usages of your system can be described through structural requirements such as HP ALM Quality center requirements, or IBM Doors Requirements, or functional need documents, or even from Agile user stories! Then, a Test Designer needs to analyze these requirements. He needs to imagine what could be the tests sceneries needed to be build in order to cover requirements, Unfortunately, he might forget thinking of some test cases, and he can not be sure to cover all of the usages of his system. And each time the Test Designer wants to change his test strategy, he needs to rethink his previous test sceneries. This can take a lot of time and effort After having imagined the test cases in his head, the test designer manually writes all the test cases decomposed in test steps, including expected result for each test step. Then, the list of test cases are stored as a test suite. This list of test cases can be managed with test manager tool such as, for example H.P. A.L.M. Quality Center or Test Link. Tests are now available to be manually executed by manual testers. But manual execution takes a long time and can be tidious, especially if you deal with regression tests! To earn time, especially if you re-execute the same tests, the automation tester develops test scripts from tests suite. Nevertheless, maintaining test scripts when updating test cases following functional modifications, can be very difficult, and time consuming. When scripts are ready, they can be executed into the test bench environment in order to run test campaigns, find defects, and generate a test report.
- So what was the traditional testing in the past? In order to test a system, you need to know how it works! Usages of your system can be described through structural requirements such as HP ALM Quality center requirements, or IBM Doors Requirements, or functional need documents, or even from Agile user stories! Then, a Test Designer needs to analyze these requirements. He needs to imagine what could be the tests sceneries needed to be build in order to cover requirements, Unfortunately, he might forget thinking of some test cases, and he can not be sure to cover all of the usages of his system. And each time the Test Designer wants to change his test strategy, he needs to rethink his previous test sceneries. This can take a lot of time and effort After having imagined the test cases in his head, the test designer manually writes all the test cases decomposed in test steps, including expected result for each test step. Then, the list of test cases are stored as a test suite. This list of test cases can be managed with test manager tool such as, for example H.P. A.L.M. Quality Center or Test Link. Tests are now available to be manually executed by manual testers. But manual execution takes a long time and can be tidious, especially if you deal with regression tests! To earn time, especially if you re-execute the same tests, the automation tester develops test scripts from tests suite. Nevertheless, maintaining test scripts when updating test cases following functional modifications, can be very difficult, and time consuming. When scripts are ready, they can be executed into the test bench environment in order to run test campaigns, find defects, and generate a test report.
- So what was the traditional testing in the past? In order to test a system, you need to know how it works! Usages of your system can be described through structural requirements such as HP ALM Quality center requirements, or IBM Doors Requirements, or functional need documents, or even from Agile user stories! Then, a Test Designer needs to analyze these requirements. He needs to imagine what could be the tests sceneries needed to be build in order to cover requirements, Unfortunately, he might forget thinking of some test cases, and he can not be sure to cover all of the usages of his system. And each time the Test Designer wants to change his test strategy, he needs to rethink his previous test sceneries. This can take a lot of time and effort After having imagined the test cases in his head, the test designer manually writes all the test cases decomposed in test steps, including expected result for each test step. Then, the list of test cases are stored as a test suite. This list of test cases can be managed with test manager tool such as, for example H.P. A.L.M. Quality Center or Test Link. Tests are now available to be manually executed by manual testers. But manual execution takes a long time and can be tidious, especially if you deal with regression tests! To earn time, especially if you re-execute the same tests, the automation tester develops test scripts from tests suite. Nevertheless, maintaining test scripts when updating test cases following functional modifications, can be very difficult, and time consuming. When scripts are ready, they can be executed into the test bench environment in order to run test campaigns, find defects, and generate a test report.
- So what was the traditional testing in the past? In order to test a system, you need to know how it works! Usages of your system can be described through structural requirements such as HP ALM Quality center requirements, or IBM Doors Requirements, or functional need documents, or even from Agile user stories! Then, a Test Designer needs to analyze these requirements. He needs to imagine what could be the tests sceneries needed to be build in order to cover requirements, Unfortunately, he might forget thinking of some test cases, and he can not be sure to cover all of the usages of his system. And each time the Test Designer wants to change his test strategy, he needs to rethink his previous test sceneries. This can take a lot of time and effort After having imagined the test cases in his head, the test designer manually writes all the test cases decomposed in test steps, including expected result for each test step. Then, the list of test cases are stored as a test suite. This list of test cases can be managed with test manager tool such as, for example H.P. A.L.M. Quality Center or Test Link. Tests are now available to be manually executed by manual testers. But manual execution takes a long time and can be tidious, especially if you deal with regression tests! To earn time, especially if you re-execute the same tests, the automation tester develops test scripts from tests suite. Nevertheless, maintaining test scripts when updating test cases following functional modifications, can be very difficult, and time consuming. When scripts are ready, they can be executed into the test bench environment in order to run test campaigns, find defects, and generate a test report.
- So what was the traditional testing in the past? In order to test a system, you need to know how it works! Usages of your system can be described through structural requirements such as HP ALM Quality center requirements, or IBM Doors Requirements, or functional need documents, or even from Agile user stories! Then, a Test Designer needs to analyze these requirements. He needs to imagine what could be the tests sceneries needed to be build in order to cover requirements, Unfortunately, he might forget thinking of some test cases, and he can not be sure to cover all of the usages of his system. And each time the Test Designer wants to change his test strategy, he needs to rethink his previous test sceneries. This can take a lot of time and effort After having imagined the test cases in his head, the test designer manually writes all the test cases decomposed in test steps, including expected result for each test step. Then, the list of test cases are stored as a test suite. This list of test cases can be managed with test manager tool such as, for example H.P. A.L.M. Quality Center or Test Link. Tests are now available to be manually executed by manual testers. But manual execution takes a long time and can be tidious, especially if you deal with regression tests! To earn time, especially if you re-execute the same tests, the automation tester develops test scripts from tests suite. Nevertheless, maintaining test scripts when updating test cases following functional modifications, can be very difficult, and time consuming. When scripts are ready, they can be executed into the test bench environment in order to run test campaigns, find defects, and generate a test report.
- So what was the traditional testing in the past? In order to test a system, you need to know how it works! Usages of your system can be described through structural requirements such as HP ALM Quality center requirements, or IBM Doors Requirements, or functional need documents, or even from Agile user stories! Then, a Test Designer needs to analyze these requirements. He needs to imagine what could be the tests sceneries needed to be build in order to cover requirements, Unfortunately, he might forget thinking of some test cases, and he can not be sure to cover all of the usages of his system. And each time the Test Designer wants to change his test strategy, he needs to rethink his previous test sceneries. This can take a lot of time and effort After having imagined the test cases in his head, the test designer manually writes all the test cases decomposed in test steps, including expected result for each test step. Then, the list of test cases are stored as a test suite. This list of test cases can be managed with test manager tool such as, for example H.P. A.L.M. Quality Center or Test Link. Tests are now available to be manually executed by manual testers. But manual execution takes a long time and can be tidious, especially if you deal with regression tests! To earn time, especially if you re-execute the same tests, the automation tester develops test scripts from tests suite. Nevertheless, maintaining test scripts when updating test cases following functional modifications, can be very difficult, and time consuming. When scripts are ready, they can be executed into the test bench environment in order to run test campaigns, find defects, and generate a test report.
- So what was the traditional testing in the past? In order to test a system, you need to know how it works! Usages of your system can be described through structural requirements such as HP ALM Quality center requirements, or IBM Doors Requirements, or functional need documents, or even from Agile user stories! Then, a Test Designer needs to analyze these requirements. He needs to imagine what could be the tests sceneries needed to be build in order to cover requirements, Unfortunately, he might forget thinking of some test cases, and he can not be sure to cover all of the usages of his system. And each time the Test Designer wants to change his test strategy, he needs to rethink his previous test sceneries. This can take a lot of time and effort After having imagined the test cases in his head, the test designer manually writes all the test cases decomposed in test steps, including expected result for each test step. Then, the list of test cases are stored as a test suite. This list of test cases can be managed with test manager tool such as, for example H.P. A.L.M. Quality Center or Test Link. Tests are now available to be manually executed by manual testers. But manual execution takes a long time and can be tidious, especially if you deal with regression tests! To earn time, especially if you re-execute the same tests, the automation tester develops test scripts from tests suite. Nevertheless, maintaining test scripts when updating test cases following functional modifications, can be very difficult, and time consuming. When scripts are ready, they can be executed into the test bench environment in order to run test campaigns, find defects, and generate a test report.
- So what was the traditional testing in the past? In order to test a system, you need to know how it works! Usages of your system can be described through structural requirements such as HP ALM Quality center requirements, or IBM Doors Requirements, or functional need documents, or even from Agile user stories! Then, a Test Designer needs to analyze these requirements. He needs to imagine what could be the tests sceneries needed to be build in order to cover requirements, Unfortunately, he might forget thinking of some test cases, and he can not be sure to cover all of the usages of his system. And each time the Test Designer wants to change his test strategy, he needs to rethink his previous test sceneries. This can take a lot of time and effort After having imagined the test cases in his head, the test designer manually writes all the test cases decomposed in test steps, including expected result for each test step. Then, the list of test cases are stored as a test suite. This list of test cases can be managed with test manager tool such as, for example H.P. A.L.M. Quality Center or Test Link. Tests are now available to be manually executed by manual testers. But manual execution takes a long time and can be tidious, especially if you deal with regression tests! To earn time, especially if you re-execute the same tests, the automation tester develops test scripts from tests suite. Nevertheless, maintaining test scripts when updating test cases following functional modifications, can be very difficult, and time consuming. When scripts are ready, they can be executed into the test bench environment in order to run test campaigns, find defects, and generate a test report.
- So what was the traditional testing in the past? In order to test a system, you need to know how it works! Usages of your system can be described through structural requirements such as HP ALM Quality center requirements, or IBM Doors Requirements, or functional need documents, or even from Agile user stories! Then, a Test Designer needs to analyze these requirements. He needs to imagine what could be the tests sceneries needed to be build in order to cover requirements, Unfortunately, he might forget thinking of some test cases, and he can not be sure to cover all of the usages of his system. And each time the Test Designer wants to change his test strategy, he needs to rethink his previous test sceneries. This can take a lot of time and effort After having imagined the test cases in his head, the test designer manually writes all the test cases decomposed in test steps, including expected result for each test step. Then, the list of test cases are stored as a test suite. This list of test cases can be managed with test manager tool such as, for example H.P. A.L.M. Quality Center or Test Link. Tests are now available to be manually executed by manual testers. But manual execution takes a long time and can be tidious, especially if you deal with regression tests! To earn time, especially if you re-execute the same tests, the automation tester develops test scripts from tests suite. Nevertheless, maintaining test scripts when updating test cases following functional modifications, can be very difficult, and time consuming. When scripts are ready, they can be executed into the test bench environment in order to run test campaigns, find defects, and generate a test report.
- So what was the traditional testing in the past? In order to test a system, you need to know how it works! Usages of your system can be described through structural requirements such as HP ALM Quality center requirements, or IBM Doors Requirements, or functional need documents, or even from Agile user stories! Then, a Test Designer needs to analyze these requirements. He needs to imagine what could be the tests sceneries needed to be build in order to cover requirements, Unfortunately, he might forget thinking of some test cases, and he can not be sure to cover all of the usages of his system. And each time the Test Designer wants to change his test strategy, he needs to rethink his previous test sceneries. This can take a lot of time and effort After having imagined the test cases in his head, the test designer manually writes all the test cases decomposed in test steps, including expected result for each test step. Then, the list of test cases are stored as a test suite. This list of test cases can be managed with test manager tool such as, for example H.P. A.L.M. Quality Center or Test Link. Tests are now available to be manually executed by manual testers. But manual execution takes a long time and can be tidious, especially if you deal with regression tests! To earn time, especially if you re-execute the same tests, the automation tester develops test scripts from tests suite. Nevertheless, maintaining test scripts when updating test cases following functional modifications, can be very difficult, and time consuming. When scripts are ready, they can be executed into the test bench environment in order to run test campaigns, find defects, and generate a test report.
- In synthesis, the testing coverage in traditional testing is hard to measure, depends of the testers imagination, and is far from exhaustive coverage. Furthermore, building test cases and test scripts manually can be uneasy, and become very long when test referential update is needed after functional updates.
- In synthesis, the testing coverage in traditional testing is hard to measure, depends of the testers imagination, and is far from exhaustive coverage. Furthermore, building test cases and test scripts manually can be uneasy, and become very long when test referential update is needed after functional updates.
- Now, thanks to MaTeLo, the leading Model-Based Testing solution, you have the easiest way to control your test strategy having a full test coverage possibilities. With MaTeLo, decrease the test time and focus the strategy related to your risks, and have fun with tests!
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- In each transition, can be stored with a simple drag and drop: - traceability requirements, - - - - - - - textual description useful to configure a manual test step - - - - - - stimulation input data - - - - - - verification data output, - - - - - - Treatment function to calculate automatically an excepted result - - - - - - risk probability usages, - - - - - - and keyword functions for automation - - - - - - -
- In each transition, can be stored with a simple drag and drop: - traceability requirements, - - - - - - - textual description useful to configure a manual test step - - - - - - stimulation input data - - - - - - verification data output, - - - - - - Treatment function to calculate automatically an excepted result - - - - - - risk probability usages, - - - - - - and keyword functions for automation - - - - - - -
- In each transition, can be stored with a simple drag and drop: - traceability requirements, - - - - - - - textual description useful to configure a manual test step - - - - - - stimulation input data - - - - - - verification data output, - - - - - - Treatment function to calculate automatically an excepted result - - - - - - risk probability usages, - - - - - - and keyword functions for automation - - - - - - -
- In each transition, can be stored with a simple drag and drop: - traceability requirements, - - - - - - - textual description useful to configure a manual test step - - - - - - stimulation input data - - - - - - verification data output, - - - - - - Treatment function to calculate automatically an excepted result - - - - - - risk probability usages, - - - - - - and keyword functions for automation - - - - - - -
- In each transition, can be stored with a simple drag and drop: - traceability requirements, - - - - - - - textual description useful to configure a manual test step - - - - - - stimulation input data - - - - - - verification data output, - - - - - - Treatment function to calculate automatically an excepted result - - - - - - risk probability usages, - - - - - - and keyword functions for automation - - - - - - -
- In each transition, can be stored with a simple drag and drop: - traceability requirements, - - - - - - - textual description useful to configure a manual test step - - - - - - stimulation input data - - - - - - verification data output, - - - - - - Treatment function to calculate automatically an excepted result - - - - - - risk probability usages, - - - - - - and keyword functions for automation - - - - - - -
- In each transition, can be stored with a simple drag and drop: - traceability requirements, - - - - - - - textual description useful to configure a manual test step - - - - - - stimulation input data - - - - - - verification data output, - - - - - - Treatment function to calculate automatically an excepted result - - - - - - risk probability usages, - - - - - - and keyword functions for automation - - - - - - -
- In each transition, can be stored with a simple drag and drop: - traceability requirements, - - - - - - - textual description useful to configure a manual test step - - - - - - stimulation input data - - - - - - verification data output, - - - - - - Treatment function to calculate automatically an excepted result - - - - - - risk probability usages, - - - - - - and keyword functions for automation - - - - - - -
- In each transition, can be stored with a simple drag and drop: - traceability requirements, - - - - - - - textual description useful to configure a manual test step - - - - - - stimulation input data - - - - - - verification data output, - - - - - - Treatment function to calculate automatically an excepted result - - - - - - risk probability usages, - - - - - - and keyword functions for automation - - - - - - -
- In each transition, can be stored with a simple drag and drop: - traceability requirements, - - - - - - - textual description useful to configure a manual test step - - - - - - stimulation input data - - - - - - verification data output, - - - - - - Treatment function to calculate automatically an excepted result - - - - - - risk probability usages, - - - - - - and keyword functions for automation - - - - - - -
- In each transition, can be stored with a simple drag and drop: - traceability requirements, - - - - - - - textual description useful to configure a manual test step - - - - - - stimulation input data - - - - - - verification data output, - - - - - - Treatment function to calculate automatically an excepted result - - - - - - risk probability usages, - - - - - - and keyword functions for automation - - - - - - -
- In each transition, can be stored with a simple drag and drop: - traceability requirements, - - - - - - - textual description useful to configure a manual test step - - - - - - stimulation input data - - - - - - verification data output, - - - - - - Treatment function to calculate automatically an excepted result - - - - - - risk probability usages, - - - - - - and keyword functions for automation - - - - - - -
- In each transition, can be stored with a simple drag and drop: - traceability requirements, - - - - - - - textual description useful to configure a manual test step - - - - - - stimulation input data - - - - - - verification data output, - - - - - - Treatment function to calculate automatically an excepted result - - - - - - risk probability usages, - - - - - - and keyword functions for automation - - - - - - -
- In each transition, can be stored with a simple drag and drop: - traceability requirements, - - - - - - - textual description useful to configure a manual test step - - - - - - stimulation input data - - - - - - verification data output, - - - - - - Treatment function to calculate automatically an excepted result - - - - - - risk probability usages, - - - - - - and keyword functions for automation - - - - - - -
- In each transition, can be stored with a simple drag and drop: - traceability requirements, - - - - - - - textual description useful to configure a manual test step - - - - - - stimulation input data - - - - - - verification data output, - - - - - - Treatment function to calculate automatically an excepted result - - - - - - risk probability usages, - - - - - - and keyword functions for automation - - - - - - -
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- Let’s understand how “MaTeLo” is going to improve your test efficiency Using the Model-Based Testing approach with MaTeLo, structured business requirements are directly imported from manager tools like HP ALM Quality Center, Or Doors. Unstructured requirements are keyed into MaTeLo requirement manager, And agile user stories can be keyed into MaTeLo. In Model-Based Testing, Test analyzer doesn’t need to imagine test sceneries. He needs to understand each functional usage and how they are together linked, Then the Test Analyzer designs a model composed with the usages and transitions of the system under test. When the model is ready, MaTeLo user generates automatically optimized test suites. Test suites can be exported either to test management tools, like A.L.M. H.P. Quality Center or Test link. Then manual test campaigns are executed with manual testers For automatic test execution, MaTeLo generates automatically from generic keyword, a script immediately usable in most automation tools such as QTP, Selenium, or TestStand. The execution of instantiated scripts drives the System or Software under test an automatically generates test reports. Users easily define their best rate based on test coverage and test case number. Algorithms choice depends of the maturity of the System under test. Then, MaTeLo user generates easily and quickly automatically new test suites. - - - - - - - - - - - - - - - - Functional requirements or user stories can change. MaTelo analyses automatically requirement updates, and traceability into the model. Test analyst analyses new requirements and easily update his model. Then MaTeLo user generates automatically new test suites and test scripts with requirement update traceability.
- The model represent the way the system will be used and expecteds results.
- The model represent the way the system will be used and expecteds results.