In this deck Patrick Poulin from API Fortress goes through some best practices to API testing, API monitoring, and using data-driven testing techniques for optimal testing of APIs and microservices.
This document discusses automation testing. It begins by defining automation testing and listing its benefits, which include saving time and money, improving accuracy, and increasing test coverage. It then covers levels of automation testing, frameworks, approaches like record and playback, modular scripting, and keyword-driven testing. The document also discusses the automation testing lifecycle, how to choose a testing tool, types of tools, when to automate and who should automate, supporting practices, and skills needed for automation testing.
This document provides an introduction to software testing. It discusses that software testing is the process of evaluating software to discover errors and ensure it meets requirements. Testing is important because all software has defects, it is written by humans who make mistakes, and testing aims to eliminate faults early and ensure quality. The document then discusses software requirements for installation like necessary frameworks, internet connection, operating system compatibility, and hardware compatibility. It also covers different types of testing like functional and non-functional testing, writing test cases, executing tests, and verifying results. Benefits of testing include identifying defects and increasing confidence that software meets specifications, though testing cannot guarantee software is completely error-free.
The document discusses various types of software testing that take place during the software development life cycle (SDLC). It defines key terms like bugs, faults, and failures. It then explains different types of testing like unit testing, system testing, usability testing, functional testing, security testing, alpha testing, acceptance testing, beta testing, regression testing, and monkey testing. The overall purpose of software testing is to identify issues, ensure quality, and validate that requirements are met before releasing the software to end users.
Testing is most cost effective when done earlier in the software development process. Errors found during the analysis and design stages are cheaper to fix than those discovered later. Various types of test data should be used, including normal, boundary, and exceptional data, to thoroughly test a program. Testing is conducted in phases from unit testing of individual components to system-wide acceptance testing by end users. However, testing can only find bugs but never prove a program is completely error-free.
This document discusses three aspects of software evaluation: fit for purpose, use of computational constructs, and robustness. It evaluates whether the software meets client requirements and specifications, makes efficient use of constructs like loops and arrays, and can handle unexpected or incorrect input through testing a wide range of normal, exceptional, and extreme data values.
Software testing is defined as checking whether actual results match expected results to ensure a software system is defect-free. It helps identify errors, gaps, or missing requirements compared to actual requirements, and can be done manually or with automated tools. Testing is important because software bugs can be expensive or dangerous, potentially causing monetary or human losses. Zuci Systems applies agile methodologies, cognitive automation, and AI to offer comprehensive quality engineering without increasing costs or release cycles.
The document outlines the seven stages of a software development process: analysis, design, implementation, testing, documentation, evaluation, and maintenance. It then discusses the analysis stage in more detail, noting that analysts read and understand the problem, interview clients for clarity, and develop a software specification as a statement of the problem and basis for legal agreement between the analyst and client. Finally, it introduces questioning for requirements of a program to calculate averages, asking about inputs like number of numbers in the set, data types, and output display specifics.
The document discusses the importance of documenting the software testing process. It outlines that the testing process should be reported on to communicate test results, compare results to design specifications, and highlight problems. The documentation of the testing process should include test requirements, a test plan, test data and expected results, actual test results, and recommendations. Communication is also important and should occur between developers and clients as well as testers and developers. CASE tools can help automate parts of the testing process and generate test data.
This document discusses automation testing. It begins by defining automation testing and listing its benefits, which include saving time and money, improving accuracy, and increasing test coverage. It then covers levels of automation testing, frameworks, approaches like record and playback, modular scripting, and keyword-driven testing. The document also discusses the automation testing lifecycle, how to choose a testing tool, types of tools, when to automate and who should automate, supporting practices, and skills needed for automation testing.
This document provides an introduction to software testing. It discusses that software testing is the process of evaluating software to discover errors and ensure it meets requirements. Testing is important because all software has defects, it is written by humans who make mistakes, and testing aims to eliminate faults early and ensure quality. The document then discusses software requirements for installation like necessary frameworks, internet connection, operating system compatibility, and hardware compatibility. It also covers different types of testing like functional and non-functional testing, writing test cases, executing tests, and verifying results. Benefits of testing include identifying defects and increasing confidence that software meets specifications, though testing cannot guarantee software is completely error-free.
The document discusses various types of software testing that take place during the software development life cycle (SDLC). It defines key terms like bugs, faults, and failures. It then explains different types of testing like unit testing, system testing, usability testing, functional testing, security testing, alpha testing, acceptance testing, beta testing, regression testing, and monkey testing. The overall purpose of software testing is to identify issues, ensure quality, and validate that requirements are met before releasing the software to end users.
Testing is most cost effective when done earlier in the software development process. Errors found during the analysis and design stages are cheaper to fix than those discovered later. Various types of test data should be used, including normal, boundary, and exceptional data, to thoroughly test a program. Testing is conducted in phases from unit testing of individual components to system-wide acceptance testing by end users. However, testing can only find bugs but never prove a program is completely error-free.
This document discusses three aspects of software evaluation: fit for purpose, use of computational constructs, and robustness. It evaluates whether the software meets client requirements and specifications, makes efficient use of constructs like loops and arrays, and can handle unexpected or incorrect input through testing a wide range of normal, exceptional, and extreme data values.
Software testing is defined as checking whether actual results match expected results to ensure a software system is defect-free. It helps identify errors, gaps, or missing requirements compared to actual requirements, and can be done manually or with automated tools. Testing is important because software bugs can be expensive or dangerous, potentially causing monetary or human losses. Zuci Systems applies agile methodologies, cognitive automation, and AI to offer comprehensive quality engineering without increasing costs or release cycles.
The document outlines the seven stages of a software development process: analysis, design, implementation, testing, documentation, evaluation, and maintenance. It then discusses the analysis stage in more detail, noting that analysts read and understand the problem, interview clients for clarity, and develop a software specification as a statement of the problem and basis for legal agreement between the analyst and client. Finally, it introduces questioning for requirements of a program to calculate averages, asking about inputs like number of numbers in the set, data types, and output display specifics.
The document discusses the importance of documenting the software testing process. It outlines that the testing process should be reported on to communicate test results, compare results to design specifications, and highlight problems. The documentation of the testing process should include test requirements, a test plan, test data and expected results, actual test results, and recommendations. Communication is also important and should occur between developers and clients as well as testers and developers. CASE tools can help automate parts of the testing process and generate test data.
Software testing is the process of identifying errors, completeness, and quality of software. It involves executing programs under different conditions through manual or automated means to uncover as many errors as possible. The goal is to demonstrate that the software meets requirements specifications with minimum cost and effort. There are different types of testing like unit, integration, and system testing that occur at various stages of the software development life cycle. Test cases are specific procedures used to test requirements and include identification of what is being tested, success and failure criteria, test steps, and test data.
The V-Model is a software development model that depicts the relationships between system requirements, design, and testing. It emphasizes testing at each development stage with testing occurring in reverse order that modules are developed (top-down). The V-Model includes requirements analysis and system design at the beginning, followed by module design, integration, validation, and operation. Each stage establishes entry and exit criteria and is tested in turn before proceeding to the next stage. Benefits include reduced faults, improved quality, and validation at each stage, while disadvantages include high costs and rigidity.
This document provides an introduction to automation testing. It discusses the need for automation testing to improve speed, reliability and test coverage. The document outlines when tests should be automated such as for regression testing or data-driven testing. It also discusses automation tool options and the types of tests that can be automated, including functional and non-functional tests. Finally, it addresses the advantages of automation including time savings and repeatability, as well as challenges such as maintenance efforts and tool limitations.
This document discusses software testing and its importance. It begins by debunking some myths about testing versus development. It then provides definitions of software testing and describes the typical testing life cycle, including unit testing, integration testing, regression testing, load testing, and more. The document offers tips on how to plan and organize test cases. It addresses common questions around automation, bugs, and costs of poor quality. It distinguishes between verification and validation in testing. Finally, it lists some common tools used for testing.
The document discusses why testing software is important by providing examples of bugs and failures that could have been avoided with better testing, such as missing names on checks and data conversion errors that caused satellite failures. It then outlines the types of questions testing aims to answer about software functionality, user experience, performance, and readiness. Testing helps identify defects early to save time and money, avoid downtime, and build better applications that satisfy users.
Software testers and QA Engineers play a vital role in any firm. And with time and practice, they will be able to aim for higher positions and pay cheques. Here are the pros and cons of choosing Software testing as a career path.
Career in Software Testing | Skills Required for Software Test Engineer | Edu...Edureka!
YouTube Link: https://youtu.be/3eOd9NTRgJo
** Test Automation Engineer Masters Program: https://www.edureka.co/masters-program/automation-testing-engineer-training **
This Edureka PPT on "Careers in Software Testing" will provide you with detailed and comprehensive knowledge of careers trends in software testing. It will guide you through the path one should take with the appropriate skills and the roles and responsibilities of Software Test Engineer. This PPT will cover the following topics:
What is Software Testing and why it is important?
Types and levels of Software Testing
Roadmap to Become a Software Testing Engineer
Job Roles
Roles and Responsibilities
Companies
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Software Testing Blog playlist: http://bit.ly/2UXwdJm
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Basic of Software Testing. This presentation give course overview hosted on nimble e-learning platform.Presentation is just to give you brief overview of software testing.
The software development team will work with the client to determine the purpose and functional requirements of the requested software. The system analyst will identify what the software will be used for, its inputs and outputs, and any assumptions about hardware, software compatibility, internet connections, or users' IT skills. With this analysis completed, the team can begin planning how to create the software.
Testing begins early in the software development process using prototypes to identify errors. Testing involves using normal, extreme, and exceptional test data sets to ensure the software is fit for purpose, efficient, and maintainable. A test plan is created to select appropriate test data and define expected results. Comprehensive testing involves testing across different data types and edge cases rather than just running the program a few times. Testing is conducted in phases from module testing to acceptance testing and alpha/beta testing with users. While testing reduces bugs, it cannot prove a program is completely correct as some errors may remain undetected.
This document summarizes a seminar presentation on software testing. It discusses:
- The importance of testing in finding errors and making software more reliable
- How testing consumes the largest effort in software development
- The key concepts of testing including test cases, test suites, errors, and failures
- The different levels of testing like unit, integration, system, and acceptance testing
- Techniques for white box, black box, and grey box testing based on knowledge of the internal workings
This document discusses various techniques for automating test scripts, including linear scripts, structured scripts, shared scripts, data-driven scripts, and keyword-driven scripts. Linear scripts record manual test cases but are vulnerable to changes. Structured scripts add control structures but require programming skills. Shared scripts reuse code through functions or libraries. Data-driven scripts separate test data from the driver script but both need updating. Keyword-driven scripts address this by putting test logic in a separate file from the single driver script. The document examines the pros and cons of each technique.
This document discusses fundamentals of software testing. It explains that testing is important to identify defects that can cause problems. Testing helps measure software quality by finding bugs and ensuring requirements are met. However, exhaustive testing of all possible inputs is impossible, so risk-based testing is used instead. Testing activities should start early and continue through the software development life cycle. The goal of testing is to reduce risks and improve the software, not just find defects.
To Open Banking and Beyond: Developing APIs that are Resilient to every new I...Curiosity Software Ireland
Watch the live webinar on-demand here -
https://curiositysoftware.ie/resources/to-open-banking-and-beyond-api-testing-free-webinar/
With over 35 APIs involved in an average business transaction, API innovation is critical for every organisation. However, microservices and fast-changing components can quickly create overwhelming complexity for architects, developers, and testers. They produce complex arrays of API calls, often leading to QA bottlenecks – or, worse, business-critical systems that have been released with undetected flaws in their APIs.
APIs often also work with sensitive data, making it essential to remove risk from API releases. Otherwise, initiatives like Open Banking can turn from an opportunity to a compliance nightmare. The challenge is that the time available to test APIs is only becoming shorter, while the complexity of the systems is increasing.
API testing must become both more iterative and more granular. This webinar will show why enterprises across banking, retail, telecoms, and more are combining Model-Based Testing and API Test Automation to overcome API complexity. You will see how Test Modeller builds rigorous API tests automatically in-sprint, pushing them to API Fortress for execution. This approach enables QA teams to ensure that APIs deliver business value, building seamlessly on the skills and techniques they use today.
Key takeaways:
1. Organizations investing in APIs must maintain API resilience, reliability, performance, and security.
2. Companies can significantly decrease risk while accelerating releases by combining model-based testing with complete test data management.
3. Test Modeller enables model-based API test automation, using coverage algorithms to create functional and data-driven API tests.
4. Testers can reuse functional API tests in API Fortress as integration tests, load tests, and functional uptime monitors with unlimited deployment and no metered usage fees.
Developing a software demands huge amount of time, efforts and resources. But if quality is not ensured during and after the development of a software, it becomes practically useless. Know about the valuable and unavoidable role that QA, QC and Testing plays in developing a good software.
This document discusses performance testing tools and techniques. It defines performance from the perspectives of developers, infrastructure, and end users. Key aspects covered include defining realistic user scenarios, available tools like JMeter, ApacheBench, Gatling and Locust, and the importance of continuous performance testing. The document recommends using the Apdex score as part of your definition of done, specifying good test scenarios, running tests simultaneously, choosing the right tool for your needs, and considering tools like Taurus that enable continuous performance testing.
IFG for SAP Integration, webinar on Automated TestingDaniel Graversen
This is the presentation from the IFG webinar about Automating the testing of SAP Interfaces.
We are showing why testing, is really important and we are standing in a place where it really makes a lot of sense to automate the testing in a lot shorter time frame.
White box testing involves testing the internal logic and structure of a program's source code. It is conducted by developers on each line of code before the software is passed to testers. The main goals are to test paths through the code, loops, conditions, memory usage, and performance. Techniques include path testing, loop testing, condition testing, memory perspective testing, and performance testing. White box testing helps ensure code quality and catch defects early before the software is given to testers for black box testing.
Measure performance of the application using open source performance testing...BugRaptors
Bugraptors know that the performance of any product is key component of that project, to measure the performance of the project we have expert team of performance testers who perform the testing by using various performance testing tools like Jmeter, LoadUI, Selenium web driver and deliver project which has good performance according to the requirements and end user’s perspective.
Software testing is the process of identifying errors, completeness, and quality of software. It involves executing programs under different conditions through manual or automated means to uncover as many errors as possible. The goal is to demonstrate that the software meets requirements specifications with minimum cost and effort. There are different types of testing like unit, integration, and system testing that occur at various stages of the software development life cycle. Test cases are specific procedures used to test requirements and include identification of what is being tested, success and failure criteria, test steps, and test data.
The V-Model is a software development model that depicts the relationships between system requirements, design, and testing. It emphasizes testing at each development stage with testing occurring in reverse order that modules are developed (top-down). The V-Model includes requirements analysis and system design at the beginning, followed by module design, integration, validation, and operation. Each stage establishes entry and exit criteria and is tested in turn before proceeding to the next stage. Benefits include reduced faults, improved quality, and validation at each stage, while disadvantages include high costs and rigidity.
This document provides an introduction to automation testing. It discusses the need for automation testing to improve speed, reliability and test coverage. The document outlines when tests should be automated such as for regression testing or data-driven testing. It also discusses automation tool options and the types of tests that can be automated, including functional and non-functional tests. Finally, it addresses the advantages of automation including time savings and repeatability, as well as challenges such as maintenance efforts and tool limitations.
This document discusses software testing and its importance. It begins by debunking some myths about testing versus development. It then provides definitions of software testing and describes the typical testing life cycle, including unit testing, integration testing, regression testing, load testing, and more. The document offers tips on how to plan and organize test cases. It addresses common questions around automation, bugs, and costs of poor quality. It distinguishes between verification and validation in testing. Finally, it lists some common tools used for testing.
The document discusses why testing software is important by providing examples of bugs and failures that could have been avoided with better testing, such as missing names on checks and data conversion errors that caused satellite failures. It then outlines the types of questions testing aims to answer about software functionality, user experience, performance, and readiness. Testing helps identify defects early to save time and money, avoid downtime, and build better applications that satisfy users.
Software testers and QA Engineers play a vital role in any firm. And with time and practice, they will be able to aim for higher positions and pay cheques. Here are the pros and cons of choosing Software testing as a career path.
Career in Software Testing | Skills Required for Software Test Engineer | Edu...Edureka!
YouTube Link: https://youtu.be/3eOd9NTRgJo
** Test Automation Engineer Masters Program: https://www.edureka.co/masters-program/automation-testing-engineer-training **
This Edureka PPT on "Careers in Software Testing" will provide you with detailed and comprehensive knowledge of careers trends in software testing. It will guide you through the path one should take with the appropriate skills and the roles and responsibilities of Software Test Engineer. This PPT will cover the following topics:
What is Software Testing and why it is important?
Types and levels of Software Testing
Roadmap to Become a Software Testing Engineer
Job Roles
Roles and Responsibilities
Companies
Selenium playlist: https://goo.gl/NmuzXE
Selenium Blog playlist: http://bit.ly/2B7C3QR
Software Testing Blog playlist: http://bit.ly/2UXwdJm
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
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LinkedIn: https://www.linkedin.com/company/edureka
Basic of Software Testing. This presentation give course overview hosted on nimble e-learning platform.Presentation is just to give you brief overview of software testing.
The software development team will work with the client to determine the purpose and functional requirements of the requested software. The system analyst will identify what the software will be used for, its inputs and outputs, and any assumptions about hardware, software compatibility, internet connections, or users' IT skills. With this analysis completed, the team can begin planning how to create the software.
Testing begins early in the software development process using prototypes to identify errors. Testing involves using normal, extreme, and exceptional test data sets to ensure the software is fit for purpose, efficient, and maintainable. A test plan is created to select appropriate test data and define expected results. Comprehensive testing involves testing across different data types and edge cases rather than just running the program a few times. Testing is conducted in phases from module testing to acceptance testing and alpha/beta testing with users. While testing reduces bugs, it cannot prove a program is completely correct as some errors may remain undetected.
This document summarizes a seminar presentation on software testing. It discusses:
- The importance of testing in finding errors and making software more reliable
- How testing consumes the largest effort in software development
- The key concepts of testing including test cases, test suites, errors, and failures
- The different levels of testing like unit, integration, system, and acceptance testing
- Techniques for white box, black box, and grey box testing based on knowledge of the internal workings
This document discusses various techniques for automating test scripts, including linear scripts, structured scripts, shared scripts, data-driven scripts, and keyword-driven scripts. Linear scripts record manual test cases but are vulnerable to changes. Structured scripts add control structures but require programming skills. Shared scripts reuse code through functions or libraries. Data-driven scripts separate test data from the driver script but both need updating. Keyword-driven scripts address this by putting test logic in a separate file from the single driver script. The document examines the pros and cons of each technique.
This document discusses fundamentals of software testing. It explains that testing is important to identify defects that can cause problems. Testing helps measure software quality by finding bugs and ensuring requirements are met. However, exhaustive testing of all possible inputs is impossible, so risk-based testing is used instead. Testing activities should start early and continue through the software development life cycle. The goal of testing is to reduce risks and improve the software, not just find defects.
To Open Banking and Beyond: Developing APIs that are Resilient to every new I...Curiosity Software Ireland
Watch the live webinar on-demand here -
https://curiositysoftware.ie/resources/to-open-banking-and-beyond-api-testing-free-webinar/
With over 35 APIs involved in an average business transaction, API innovation is critical for every organisation. However, microservices and fast-changing components can quickly create overwhelming complexity for architects, developers, and testers. They produce complex arrays of API calls, often leading to QA bottlenecks – or, worse, business-critical systems that have been released with undetected flaws in their APIs.
APIs often also work with sensitive data, making it essential to remove risk from API releases. Otherwise, initiatives like Open Banking can turn from an opportunity to a compliance nightmare. The challenge is that the time available to test APIs is only becoming shorter, while the complexity of the systems is increasing.
API testing must become both more iterative and more granular. This webinar will show why enterprises across banking, retail, telecoms, and more are combining Model-Based Testing and API Test Automation to overcome API complexity. You will see how Test Modeller builds rigorous API tests automatically in-sprint, pushing them to API Fortress for execution. This approach enables QA teams to ensure that APIs deliver business value, building seamlessly on the skills and techniques they use today.
Key takeaways:
1. Organizations investing in APIs must maintain API resilience, reliability, performance, and security.
2. Companies can significantly decrease risk while accelerating releases by combining model-based testing with complete test data management.
3. Test Modeller enables model-based API test automation, using coverage algorithms to create functional and data-driven API tests.
4. Testers can reuse functional API tests in API Fortress as integration tests, load tests, and functional uptime monitors with unlimited deployment and no metered usage fees.
Developing a software demands huge amount of time, efforts and resources. But if quality is not ensured during and after the development of a software, it becomes practically useless. Know about the valuable and unavoidable role that QA, QC and Testing plays in developing a good software.
This document discusses performance testing tools and techniques. It defines performance from the perspectives of developers, infrastructure, and end users. Key aspects covered include defining realistic user scenarios, available tools like JMeter, ApacheBench, Gatling and Locust, and the importance of continuous performance testing. The document recommends using the Apdex score as part of your definition of done, specifying good test scenarios, running tests simultaneously, choosing the right tool for your needs, and considering tools like Taurus that enable continuous performance testing.
IFG for SAP Integration, webinar on Automated TestingDaniel Graversen
This is the presentation from the IFG webinar about Automating the testing of SAP Interfaces.
We are showing why testing, is really important and we are standing in a place where it really makes a lot of sense to automate the testing in a lot shorter time frame.
White box testing involves testing the internal logic and structure of a program's source code. It is conducted by developers on each line of code before the software is passed to testers. The main goals are to test paths through the code, loops, conditions, memory usage, and performance. Techniques include path testing, loop testing, condition testing, memory perspective testing, and performance testing. White box testing helps ensure code quality and catch defects early before the software is given to testers for black box testing.
Measure performance of the application using open source performance testing...BugRaptors
Bugraptors know that the performance of any product is key component of that project, to measure the performance of the project we have expert team of performance testers who perform the testing by using various performance testing tools like Jmeter, LoadUI, Selenium web driver and deliver project which has good performance according to the requirements and end user’s perspective.
Fundamentals of software testing, testing levels and types, testing throughout the software life-cycle, bug report and bug severity.
Automated tests via selenium web-driver with a demo.
The document discusses software testing and the software development process. It defines software testing as a process of assessing program functionality and correctness through execution or analysis to find bugs and fix them. The objectives of testing are verification, validation, and error detection. Testing is done in various stages including unit testing, integrated testing, system testing, and acceptance testing. However, complete testing is impossible due to the large number of possible inputs, paths, and design errors. The goals of testing are to find problems in order to improve quality by fixing bugs.
Accelerating Software Product Development with API TestingMindfire LLC
Testing application programming interfaces (APIs) directly and as part of integration testing to determine if they meet expectations for functionality, reliability, performance, and security is considered API testing. API testing is a type of software testing that involves testing APIs directly and as part of integration testing to determine if they meet expectations for functionality, reliability, performance, and security is considered API testing.
This document discusses performance testing and provides information on several related topics:
- It defines performance, load, and stress testing and explains their differences.
- It outlines why performance testing is important, when it should be conducted, and what aspects of a system should be tested.
- The performance testing process is described as involving planning, creating test scenarios and scripts, running tests, monitoring tests, and analyzing results.
- Automated performance testing is presented as more effective than manual testing due to issues with resources, coordination, and repeatability when using human testers.
Building APIs using Laravel - A simple approach to scale🤓 Steve McDougall
A lot of people are building APIs, and a lot of people are hitting the same issues. In this presentation I go through the common issues I have seen in scaling a Laravel API, and what you can do now to improve your own.
APIs do not have to be hard. But they do have to be stateless.
The most important aspect to release any product or application in the market is to deliver a satisfying user experience. And this can only be achieved when the application performs impeccably. To help understand the ways and means to ensure the same, this PPT will shed light on the essential elements under performance testing. To know more on software performance testing, performance testing, app performance testing, web performance testing, website load testing and performance tuning, go through this presentation and gear up for the upcoming ones.
Test execution is the process of executing the code and comparing the expected and actual results. Following factors need to be considered for a test execution process − Based on a risk, select a subset of test suite to be executed for this cycle. Assign the test cases in each test suite to testers for execution.
This presentation includes challenges in testing, levels of testing, best practices and policies, Test Drive Design(TDD),
Behavioral Driven Design (BDD Testing), TDD v/s BDD
Introduce Test Harness for Direct To Consumer Solutions.pdfKnoldus Inc.
Gargi Sanadhya will present on introducing a test harness for direct to consumer solutions. The presentation will cover challenges of testing in direct to consumer environments, roles of different testing types, a case study, and designing a test automation framework. It will include a demo of the proposed test automation solution using Cypress, an end to end testing framework. Testing direct to consumer solutions presents challenges like high regression risk due to interconnected components, tight deadlines for new features or products, and difficulties testing third party integrations. The presentation will advocate implementing an automated test harness with Cypress to enable continuous testing of the web UI, APIs, and performance in a direct to consumer environment.
The author of this article is Bahaa Al Zubaidi. As an IT expert, Bahaa Al Zubaidi always shares his experience on various platforms.
API testing is necessary to ensure that business-like applications perform as expected. The Key software will check an API’s characteristics as you run the tests. These are robustness, security, performance, and dependability.
Webinar: Keep Calm and Scale Out - A proactive guide to Monitoring MongoDBMongoDB
Setting up proactive monitoring systems can help you and your team prepare for operations problems before they happen and react appropriately when disaster strikes.
In this presentation, we reviewed diagnostic tools and strategies for monitoring MongoDB.
We reviewed how to do capacity planning and establish KPIs, and present the monitoring utilities available in MongoDB.
The KPIs to monitor in your database, including throughput metrics, database performance, resource utilization, resource saturation, assertions/errors
The commands, utilities and monitoring tools to leverage in order to set up your proactive monitoring installation
Key alerts to set for monitoring your KPIs
How to become a Software Tester Carrier Path for Software Quality Testerjeetendra mandal
Manual testing refers to testing software manually to identify bugs, where manual testers collaborate with developers to evaluate test scripts and resolve issues. Automated testing uses scripted testing tools to validate software functionality and requirements faster than manual testing. The document discusses the skills required for software testers, including knowledge of databases, Linux commands, test management and defect tracking tools, programming languages, analytical skills, and communication skills. It also outlines typical software tester career paths and roles at different experience levels.
Similar to API Fortress & Curiosity Software: Model Based API Testing (20)
Discover the benefits of outsourcing SEO to Indiadavidjhones387
"Discover the benefits of outsourcing SEO to India! From cost-effective services and expert professionals to round-the-clock work advantages, learn how your business can achieve digital success with Indian SEO solutions.
Ready to Unlock the Power of Blockchain!Toptal Tech
Imagine a world where data flows freely, yet remains secure. A world where trust is built into the fabric of every transaction. This is the promise of blockchain, a revolutionary technology poised to reshape our digital landscape.
Toptal Tech is at the forefront of this innovation, connecting you with the brightest minds in blockchain development. Together, we can unlock the potential of this transformative technology, building a future of transparency, security, and endless possibilities.
HijackLoader Evolution: Interactive Process HollowingDonato Onofri
CrowdStrike researchers have identified a HijackLoader (aka IDAT Loader) sample that employs sophisticated evasion techniques to enhance the complexity of the threat. HijackLoader, an increasingly popular tool among adversaries for deploying additional payloads and tooling, continues to evolve as its developers experiment and enhance its capabilities.
In their analysis of a recent HijackLoader sample, CrowdStrike researchers discovered new techniques designed to increase the defense evasion capabilities of the loader. The malware developer used a standard process hollowing technique coupled with an additional trigger that was activated by the parent process writing to a pipe. This new approach, called "Interactive Process Hollowing", has the potential to make defense evasion stealthier.
2. Data is Key
● Go beyond a stagnant set of test data
● Use dynamic data from sources like databases and APIs
● Differentiate the data sources and environments you test against
● Don’t forget that APIs at larger organizations involve many different
teams, with different understandings of the APIs’ goals
● Don’t fear testing against live data: it is often the only way to truly
reveal issues
4. Next Step: Integration Testing
● Whenever possible, reproduce entire user flows on the API level
● Reproduce normal user behaviors in a single test
● Test using good and bad data, to validate all types of responses
6. Functional Tests as Monitors
● Your existing functional tests should be scheduled as API monitors
● Run multi-step integration tests as monitors
● There is a big difference between Uptime and Functional Uptime
● Test third-party APIs as well as internal and partner APIs
● Monitor production as well as internal staging environments
● Monitors can help catch things like memory leaks
8. What is Performance Testing?
● Performance can mean different things to different people
● For APIs, it should mean load testing (stress testing), as well as
monitoring the latency and fetch from your APIs being monitored
● A payload should have a max size, and respond in a certain amount
of time, otherwise it could crash mobile apps
● Stress test using full functional and integration tests
○ This properly validates API health from a real world user’s
perspective
10. PSD2 / Open Banking - What Does It All Mean?
● Keep in mind that “open banking” is not unified. Hopefully,
someday the protocols will all be interchangeable, but Open
Banking and PSD2 are not in line with the UAE’s vision for it (for
example).
● Even banks doing PSD2 aren’t perfect and have their own slight
variations. This means that you need a solution to test with
variability. One test does not fit all, but it can help.
● More than ever, it is important that banks validate that these
APIs do not expose sensitive data in live environments