Testing is necessary to identify correctness, completeness, and quality of software. There are various testing techniques including white box testing which tests internal logic and structure based on code coverage, and black box testing which tests functionality based on requirements without knowledge of internal design. Equivalence partitioning is a black box technique that divides inputs into equivalence classes of data expected to produce the same outputs, helping minimize the number of test cases needed. How much testing is enough depends on risk factors like potential costs of failures. Exhaustive testing testing all combinations is not feasible due to the vast number of possibilities.
Testing is necessary to identify correctness, completeness, and quality of software. There are various techniques for testing software such as white box testing which tests internal logic and structure, and black box testing which tests without knowledge of internal design. Equivalence partitioning divides inputs into classes to minimize the number of test cases needed. Exhaustive testing all possible combinations is not feasible due to the large number of tests required. Risk-based testing prioritizes testing based on risk to the system to determine what to test first and most thoroughly.
This document provides an overview of software testing principles and processes. It discusses why testing is necessary, the fundamental test process, and principles like prioritization of tests and regression testing. The key points are:
1) Testing is necessary to find faults, assess quality, and build confidence, but can never prove that software is completely correct.
2) The test process involves planning, specification, execution, recording, and checking completion criteria.
3) Prioritization of tests is important to focus on the most important and risky areas given time constraints. Regression testing checks for unintended effects of fixes.
This document provides an overview of software testing principles and processes. It discusses why testing is necessary, the fundamental test process, and principles like prioritization of tests and regression testing. The key points are:
1) Testing is necessary to find faults, assess quality, and build confidence, but can never prove that software is completely correct.
2) The test process involves planning, specification, execution, recording, and checking completion criteria.
3) Prioritization of tests is important to focus on the most important and risky areas given time constraints. Regression testing checks for unintended effects of fixes.
This document discusses principles of software testing. It covers why testing is necessary, the fundamental test process, psychology of testing, re-testing and regression testing, expected results, and principles of testing. Specifically, it notes that testing is needed because software will likely contain faults, to learn about reliability and quality, and to avoid expensive failures. It outlines the typical test process of planning, specification, execution, recording, and completion checking. It also discusses test planning at different levels, test case design, and the importance of prioritization and risk-based testing.
Five Common Mistakes made when Conducting a Software FMECAAnn Marie Neufelder
The software FMECA is a powerful tool for identifying software failure modes but there are 5 common mistakes that can derail the effectiveness of the analysis.
This document provides an overview of software testing concepts and best practices. It discusses why software testing is important given that no software is 100% defect-free. It then covers testing objectives, principles, techniques including black-box and white-box testing, testing levels, test management, and characteristics of a good software tester. The document emphasizes that testing should start early and continue throughout the software development life cycle.
Testing is necessary to identify correctness, completeness, and quality of software. There are various techniques for testing software such as white box testing which tests internal logic and structure, and black box testing which tests without knowledge of internal design. Equivalence partitioning divides inputs into classes to minimize the number of test cases needed. Exhaustive testing all possible combinations is not feasible due to the large number of tests required. Risk-based testing prioritizes testing based on risk to the system to determine what to test first and most thoroughly.
This document provides an overview of software testing principles and processes. It discusses why testing is necessary, the fundamental test process, and principles like prioritization of tests and regression testing. The key points are:
1) Testing is necessary to find faults, assess quality, and build confidence, but can never prove that software is completely correct.
2) The test process involves planning, specification, execution, recording, and checking completion criteria.
3) Prioritization of tests is important to focus on the most important and risky areas given time constraints. Regression testing checks for unintended effects of fixes.
This document provides an overview of software testing principles and processes. It discusses why testing is necessary, the fundamental test process, and principles like prioritization of tests and regression testing. The key points are:
1) Testing is necessary to find faults, assess quality, and build confidence, but can never prove that software is completely correct.
2) The test process involves planning, specification, execution, recording, and checking completion criteria.
3) Prioritization of tests is important to focus on the most important and risky areas given time constraints. Regression testing checks for unintended effects of fixes.
This document discusses principles of software testing. It covers why testing is necessary, the fundamental test process, psychology of testing, re-testing and regression testing, expected results, and principles of testing. Specifically, it notes that testing is needed because software will likely contain faults, to learn about reliability and quality, and to avoid expensive failures. It outlines the typical test process of planning, specification, execution, recording, and completion checking. It also discusses test planning at different levels, test case design, and the importance of prioritization and risk-based testing.
Five Common Mistakes made when Conducting a Software FMECAAnn Marie Neufelder
The software FMECA is a powerful tool for identifying software failure modes but there are 5 common mistakes that can derail the effectiveness of the analysis.
This document provides an overview of software testing concepts and best practices. It discusses why software testing is important given that no software is 100% defect-free. It then covers testing objectives, principles, techniques including black-box and white-box testing, testing levels, test management, and characteristics of a good software tester. The document emphasizes that testing should start early and continue throughout the software development life cycle.
1. The document discusses software quality and reliability in engineering. It defines quality as software being bug-free, on time, meeting requirements, and maintainable. Reliability is the probability of failure-free operation over time in a given environment.
2. Ensuring quality involves preventing and detecting faults during all phases of the software development life cycle from requirements to testing. The V-model helps achieve quality by involving testers early on.
3. Reliability focuses on avoiding faults during design and detecting problems during all phases through techniques like fault tolerance, forecasting, and measuring metrics like MTBF.
2021 08-28, QONFEST 2021 - Reliability cenetered maintenance for sleeping giantsJaap van Ekris
Many safety systems are designed to be never used: they are safety nets, waiting to avert the disaster that hopefully never will happen. For example the Dutch Storm surge barriers, dormant giants waiting to be used, but only really active every year or even once every ten years. How do you know that such a system is there when you need it. Is the giant safely asleep, or did he die without us noticing it? How do you design and optimise its maintenance, where its biggest problem is dormant failure? In this talk I adress the approach used for these systems.
The document discusses test execution and reporting. It provides details on general test procedures including planning, execution, and evaluation. It describes preparing the test infrastructure by setting up systems, software, and standards. Test execution involves conducting individual test cases, verifying results against expected outcomes, and analyzing any variances. Reporting includes documenting test logs, creating incident reports for problems, and providing effective defect reports using a standardized template. Defects are then resolved by referring them to defect or change management processes.
Revised IEEE 1633 Recommended Practices for Software ReliabilityAnn Marie Neufelder
The IEEE 1633 document provides guidance on applying software reliability engineering practices during development. It outlines key tasks such as determining system reliability objectives, performing early software reliability predictions, integrating predictions into overall system models, determining total reliability needed from software, and planning reliability growth. The document aims to help reliability engineers and software engineers collaborate to establish objectives and metrics for individual software components.
The document discusses various software failures and errors through case studies such as Disney's Lion King software issue in 1994-1995, the Intel Pentium Floating-Point Division Bug in 1994, the NASA Mars Polar Lander crash in 1999, and the Patriot Missile Defense System failure in 1991. It then covers testing definitions, principles, and the role of testing in the software development lifecycle through topics like requirements testing, ambiguity reviews, and change control tools. The goal of testing is to increase the probability that software will behave correctly under all circumstances by meeting requirements through systematic testing activities.
The Top Ten things that have been proven to effect software reliabilityAnn Marie Neufelder
Ann Marie Neufelder has benchmarked over 150 software organizations and 523 development factors against actual defect data from 79 projects to determine the key factors that influence software reliability. The top factors associated with more defects include large projects, short term contractors without domain expertise, and a "throw over the wall" testing approach. All failed projects in the database started late and had more than three new elements like hardware, tools, processes or people. The findings were used to develop a model to predict defect density before coding begins.
The document outlines 7 testing principles: 1) Testing finds defects but finding none does not mean none exist, 2) Exhaustive testing is impossible so smarter testing is needed, 3) Early testing saves time and money and makes customers happy, 4) Defects tend to cluster together, 5) Test cases must be updated periodically to avoid outdated "pesticide" tests, 6) Testing methods vary depending on the software context, and 7) Software should be stable before testing to avoid false negatives from instability.
Dallas Education ISO 9001:2008,20000-2005,27001:2013 Certified, based at Bangalore India, Providing services in software consulting, application development, outsourcing services, Recruitment and Training. Started operation in the year 2001. We design, build, and support customized applications for businesses large and small. We are the market leader in training and outsourcing in various technologies. We ,Dallas Education, serve and support IT companies in the areas of Mainframes, ERP, .net, Java/J2EE,Data Warehousing and Business Intelligence, etc. we also train and outsource fresh talents to our clients.
1. Software defects can range from minor annoyances to serious issues that endanger health and safety or the environment if a software program miscalculates important information.
2. Defects in software are caused when mistakes are made during the design and development of the software by programmers. Not all defects result in failures, and some may remain dormant without being detected.
3. Software testing is a process that involves planning what will be tested, preparing test cases, executing tests, evaluating results, and determining if the software is ready based on exit criteria and requirements. Both code and documentation need to be tested to fully evaluate the software.
Top Ten things that have been proven to effect software reliabilityAnn Marie Neufelder
There are many myths about what causes reliable or unreliable software. However, this presentation shows the facts based on real data from real projects.
This document discusses software testability. It defines testability and explains why it is important. High testability results in more effective testing and lower costs. Testability is improved by controllability, observability, availability, simplicity, stability, information, and operability. A tool called Testability-Explorer can analyze testability and produce a testability report. The document concludes that designing for testability helps produce high quality software.
The document provides an overview of software testing fundamentals including:
1. It discusses key testing concepts like error, fault, failure and how testing helps build confidence and reduce costs. Testing aims to find faults and prove software meets requirements.
2. Testing challenges are discussed like the impossibility of exhaustive testing due to huge number of combinations. Prioritization is important given limited time.
3. Principles of testing are covered such as defects clustering, absence of errors fallacy, and how early testing avoids fault multiplication. Testing must be context dependent.
Software and hardware reliability are defined differently. Software reliability is the probability that software will operate as required for a specified time in a specified environment without failing, while hardware reliability tends towards a constant value over time and usually follows the "bathtub curve". Ensuring reliability involves testing like fault tree analysis, failure mode effects analysis, and environmental testing for hardware, and techniques like defensive programming, fault detection and diagnosis, and error detecting codes for software. Reliability is measured through metrics like time to failure and failure rates over time.
This document discusses risk-driven development and risk analysis methods for software systems. It describes conducting a risk analysis at each design step to evaluate risks and ensure the design mitigates risks. Failure mode and effects analysis and fault tree analysis are introduced as structured approaches to identify risks from component failures and their effects. The importance of testing is discussed based on the impact of failures. Design options are compared using risk analysis methods to evaluate and select the optimal design.
Software Reliability is the probability of failure-free software operation for a specified period of time in a specified environment. Software Reliability is also an important factor affecting system reliability. ... The high complexity of software is the major contributing factor of Software Reliability problems.
The document outlines seven principles of software testing: 1) Testing shows the presence of errors, not their absence; 2) Exhaustive testing of all possible test cases is impossible; 3) Testing early in the development cycle is important to more easily fix defects; 4) Defects tend to cluster together, following an 80-20 distribution; 5) Test effectiveness fades over time as software changes; 6) Testing methods depend on the type of application; 7) Finding no errors does not mean the system is usable - user requirements must still be met.
Software testing is constantly evolving and growing as new technologies and methodologies wax or wane in popularity. Different testing professionals may have different definitions of the various terms we use depending on their specific niche and experiences, and different priorities on what’s important to address - See more at: http://www.qualitestgroup.com/Elements-of-Software-Testing#sthash.cTsGCaz5.dpuf
The document contains a session plan for a software testing principles and techniques course. The session objectives are to define various software testing terms and concepts, differentiate between different types of testing, and learn about the testing process. The session would include slides, demonstrations of testing software, and discussions. Test cases for an example ATM system are also provided to demonstrate initial functional testing.
Software testing is a process used to identify issues and ensure quality in developed software. It involves techniques like unit testing of individual code components, integration testing of interface between components, and system testing of the full application. While exhaustive testing of all possible inputs is not feasible due to time constraints, techniques like equivalence partitioning, boundary value analysis, and error guessing help prioritize test cases. The goal is to thoroughly test the most important and error-prone areas with the time available.
This document provides an overview of software testing principles and processes. It discusses why testing is necessary, the fundamental test process, and psychology of testing. Key aspects covered include re-testing and regression testing to check for new issues after fixes, prioritizing tests based on risk, and ensuring independence in testing. The goal of testing is to both build confidence and find faults in the software.
1. The document discusses software quality and reliability in engineering. It defines quality as software being bug-free, on time, meeting requirements, and maintainable. Reliability is the probability of failure-free operation over time in a given environment.
2. Ensuring quality involves preventing and detecting faults during all phases of the software development life cycle from requirements to testing. The V-model helps achieve quality by involving testers early on.
3. Reliability focuses on avoiding faults during design and detecting problems during all phases through techniques like fault tolerance, forecasting, and measuring metrics like MTBF.
2021 08-28, QONFEST 2021 - Reliability cenetered maintenance for sleeping giantsJaap van Ekris
Many safety systems are designed to be never used: they are safety nets, waiting to avert the disaster that hopefully never will happen. For example the Dutch Storm surge barriers, dormant giants waiting to be used, but only really active every year or even once every ten years. How do you know that such a system is there when you need it. Is the giant safely asleep, or did he die without us noticing it? How do you design and optimise its maintenance, where its biggest problem is dormant failure? In this talk I adress the approach used for these systems.
The document discusses test execution and reporting. It provides details on general test procedures including planning, execution, and evaluation. It describes preparing the test infrastructure by setting up systems, software, and standards. Test execution involves conducting individual test cases, verifying results against expected outcomes, and analyzing any variances. Reporting includes documenting test logs, creating incident reports for problems, and providing effective defect reports using a standardized template. Defects are then resolved by referring them to defect or change management processes.
Revised IEEE 1633 Recommended Practices for Software ReliabilityAnn Marie Neufelder
The IEEE 1633 document provides guidance on applying software reliability engineering practices during development. It outlines key tasks such as determining system reliability objectives, performing early software reliability predictions, integrating predictions into overall system models, determining total reliability needed from software, and planning reliability growth. The document aims to help reliability engineers and software engineers collaborate to establish objectives and metrics for individual software components.
The document discusses various software failures and errors through case studies such as Disney's Lion King software issue in 1994-1995, the Intel Pentium Floating-Point Division Bug in 1994, the NASA Mars Polar Lander crash in 1999, and the Patriot Missile Defense System failure in 1991. It then covers testing definitions, principles, and the role of testing in the software development lifecycle through topics like requirements testing, ambiguity reviews, and change control tools. The goal of testing is to increase the probability that software will behave correctly under all circumstances by meeting requirements through systematic testing activities.
The Top Ten things that have been proven to effect software reliabilityAnn Marie Neufelder
Ann Marie Neufelder has benchmarked over 150 software organizations and 523 development factors against actual defect data from 79 projects to determine the key factors that influence software reliability. The top factors associated with more defects include large projects, short term contractors without domain expertise, and a "throw over the wall" testing approach. All failed projects in the database started late and had more than three new elements like hardware, tools, processes or people. The findings were used to develop a model to predict defect density before coding begins.
The document outlines 7 testing principles: 1) Testing finds defects but finding none does not mean none exist, 2) Exhaustive testing is impossible so smarter testing is needed, 3) Early testing saves time and money and makes customers happy, 4) Defects tend to cluster together, 5) Test cases must be updated periodically to avoid outdated "pesticide" tests, 6) Testing methods vary depending on the software context, and 7) Software should be stable before testing to avoid false negatives from instability.
Dallas Education ISO 9001:2008,20000-2005,27001:2013 Certified, based at Bangalore India, Providing services in software consulting, application development, outsourcing services, Recruitment and Training. Started operation in the year 2001. We design, build, and support customized applications for businesses large and small. We are the market leader in training and outsourcing in various technologies. We ,Dallas Education, serve and support IT companies in the areas of Mainframes, ERP, .net, Java/J2EE,Data Warehousing and Business Intelligence, etc. we also train and outsource fresh talents to our clients.
1. Software defects can range from minor annoyances to serious issues that endanger health and safety or the environment if a software program miscalculates important information.
2. Defects in software are caused when mistakes are made during the design and development of the software by programmers. Not all defects result in failures, and some may remain dormant without being detected.
3. Software testing is a process that involves planning what will be tested, preparing test cases, executing tests, evaluating results, and determining if the software is ready based on exit criteria and requirements. Both code and documentation need to be tested to fully evaluate the software.
Top Ten things that have been proven to effect software reliabilityAnn Marie Neufelder
There are many myths about what causes reliable or unreliable software. However, this presentation shows the facts based on real data from real projects.
This document discusses software testability. It defines testability and explains why it is important. High testability results in more effective testing and lower costs. Testability is improved by controllability, observability, availability, simplicity, stability, information, and operability. A tool called Testability-Explorer can analyze testability and produce a testability report. The document concludes that designing for testability helps produce high quality software.
The document provides an overview of software testing fundamentals including:
1. It discusses key testing concepts like error, fault, failure and how testing helps build confidence and reduce costs. Testing aims to find faults and prove software meets requirements.
2. Testing challenges are discussed like the impossibility of exhaustive testing due to huge number of combinations. Prioritization is important given limited time.
3. Principles of testing are covered such as defects clustering, absence of errors fallacy, and how early testing avoids fault multiplication. Testing must be context dependent.
Software and hardware reliability are defined differently. Software reliability is the probability that software will operate as required for a specified time in a specified environment without failing, while hardware reliability tends towards a constant value over time and usually follows the "bathtub curve". Ensuring reliability involves testing like fault tree analysis, failure mode effects analysis, and environmental testing for hardware, and techniques like defensive programming, fault detection and diagnosis, and error detecting codes for software. Reliability is measured through metrics like time to failure and failure rates over time.
This document discusses risk-driven development and risk analysis methods for software systems. It describes conducting a risk analysis at each design step to evaluate risks and ensure the design mitigates risks. Failure mode and effects analysis and fault tree analysis are introduced as structured approaches to identify risks from component failures and their effects. The importance of testing is discussed based on the impact of failures. Design options are compared using risk analysis methods to evaluate and select the optimal design.
Software Reliability is the probability of failure-free software operation for a specified period of time in a specified environment. Software Reliability is also an important factor affecting system reliability. ... The high complexity of software is the major contributing factor of Software Reliability problems.
The document outlines seven principles of software testing: 1) Testing shows the presence of errors, not their absence; 2) Exhaustive testing of all possible test cases is impossible; 3) Testing early in the development cycle is important to more easily fix defects; 4) Defects tend to cluster together, following an 80-20 distribution; 5) Test effectiveness fades over time as software changes; 6) Testing methods depend on the type of application; 7) Finding no errors does not mean the system is usable - user requirements must still be met.
Software testing is constantly evolving and growing as new technologies and methodologies wax or wane in popularity. Different testing professionals may have different definitions of the various terms we use depending on their specific niche and experiences, and different priorities on what’s important to address - See more at: http://www.qualitestgroup.com/Elements-of-Software-Testing#sthash.cTsGCaz5.dpuf
The document contains a session plan for a software testing principles and techniques course. The session objectives are to define various software testing terms and concepts, differentiate between different types of testing, and learn about the testing process. The session would include slides, demonstrations of testing software, and discussions. Test cases for an example ATM system are also provided to demonstrate initial functional testing.
Software testing is a process used to identify issues and ensure quality in developed software. It involves techniques like unit testing of individual code components, integration testing of interface between components, and system testing of the full application. While exhaustive testing of all possible inputs is not feasible due to time constraints, techniques like equivalence partitioning, boundary value analysis, and error guessing help prioritize test cases. The goal is to thoroughly test the most important and error-prone areas with the time available.
This document provides an overview of software testing principles and processes. It discusses why testing is necessary, the fundamental test process, and psychology of testing. Key aspects covered include re-testing and regression testing to check for new issues after fixes, prioritizing tests based on risk, and ensuring independence in testing. The goal of testing is to both build confidence and find faults in the software.
This document provides an introduction to software testing. It defines software testing as checking whether a software product matches expected requirements and is defect-free. It discusses software testing background topics like infamous software error case studies, what a bug is, why bugs occur, the cost of bugs, what software testers do, and what makes a good software tester. It also covers software bugs, the cost of bugs, testing axioms, precision and accuracy, verification and validation, quality and reliability testing, testing and quality assurance, functional and structural testing methodologies, static and dynamic testing, and formal reviews.
This document provides an introduction to fundamentals of software testing. It discusses why testing is important by describing how software defects can cause problems ranging from minor issues to safety risks. It defines key terms like bugs, defects, errors and failures. It explains that testing is needed to find these defects in order to promote quality. It also introduces principles of testing and discusses how testing fits into the software development life cycle and helps measure quality.
This document discusses testing and evaluating software design and development. It covers various types of testing including unit testing, program testing, system testing, live testing, and quality assurance. Documentation and communication are important parts of reporting the testing process. The goal of testing is to ensure the software meets specifications, finds errors, and prevents problems.
This document discusses software engineering and software testing. Software engineering is concerned with developing large software through applying engineering principles. The challenge is to produce high quality software within budget and schedule constraints. Software testing is the process of finding errors in software and involves both manual and automated testing. Different types of testing include unit, integration, system, and acceptance testing. The goal of testing is to uncover defects early and reduce costs.
The document describes a test plan for a Waste Management Inspection Tracking System (WMITS) software. It includes:
1. An overview of what must be included in a test plan such as the test specification, test procedures for unit, integration, and validation testing.
2. A case study of testing the WMITS software requirements specification, which aims to automate waste management inspections and minimize time/paperwork.
3. Details of the testing strategy including unit testing of individual modules, integration testing by running the software at the client's location, and validation testing to verify requirements.
The document discusses various techniques for testing software, including their strengths and limitations. It begins by noting that while unit tests are useful for preventing regressions and ensuring something works, they don't provide much information when they pass and finding all possible test cases is impossible. Formal methods like regular expressions and finite state machines can help reduce the input space. Property based testing allows specifying properties that must always be true rather than specific test cases. The document advocates using a combination of techniques like typing, fuzzing, and formal methods alongside testing to provide more confidence in code correctness with fewer tests. The key is focusing on the goal of quality software rather than any single testing technique.
The document discusses various techniques for testing software, including their strengths and limitations. It begins by noting that while unit tests are useful for preventing regressions and ensuring something works, they don't provide much information when they pass and finding all possible test cases is impossible. Formal methods like regular expressions and finite state machines can help reduce the input space. Property based testing allows specifying properties that must always be true rather than specific test cases. The document advocates using a combination of techniques like typing, fuzzing, and formal methods alongside testing to provide more confidence in code correctness with fewer tests. The key is focusing on the goal of quality software rather than any single testing technique.
ISTQBCH foundation level chapter 01 fundamentals of testingKhalilSalhi5
This document discusses principles of software testing. It covers why testing is necessary due to faults occurring in software from human errors. It describes the fundamental test process which includes test planning, specification, execution, recording, checking completion criteria. It discusses prioritizing tests to focus on important conditions first. Exhaustive testing is not possible due to the large number of combinations. The document also defines key terms like errors, faults, failures and reliability.
How to Actually DO High-volume Automated TestingTechWell
This document summarizes a presentation on high-volume automated testing (HiVAT). Cem Kaner and Carol Oliver will present on techniques for doing HiVAT testing, including examples implemented in Ruby code. They will describe three HiVAT techniques - functional equivalence testing, long-sequence regression testing, and a more flexible HiVAT architecture. The presentation will cover the basic ingredients needed for HiVAT, examples of the techniques, and ideas for making HiVAT work in practice.
The document provides an overview of different types of software testing including systems testing, performance and load testing, usability testing, acceptance testing, exploratory testing, security testing, alpha/beta testing, and defect management. It discusses topics such as code coverage, defect metrics, and test metrics. The document is intended to educate about software testing best practices and techniques.
The document discusses principles of software testing including why testing is necessary, common testing terminology, and the testing process. It describes the testing process as having six key steps: 1) planning, 2) specification, 3) execution, 4) recording, 5) checking completion, and 6) planning at a more detailed level. It emphasizes prioritizing tests to address highest risks and outlines factors that influence how much testing is needed such as contractual requirements, industry standards, and risk levels.
No tester wants to hear a developer say “It works on my machine!” because what it actually says is: “Since it worked on my development environment I assume it also works on your test environment hence you cannot possibly have found a bug."
We know this not to be true, yet make the same assumption between environments in a later stage: We test our software on test environments and assume that our test results carry over to production. We are actually not testing the software in the setting where our users are facing it.
To top it off, we spend a considerable amount of money trying to copy production. Managing test environments is often hard, complex and needs a lot of maintenance effort.
A lot of people are already using techniques, which take testing into production like Beta Testing, A/B Testing or Monitoring as Testing. We intend to push the envelope a little further and additionally move acceptance testing, automated checks or exploration to the production stage. To do so we need to take several things into consideration, such as making sure test data does not mess up productive data and analytics, as well as hiding untested features from customers.
In this talk you will learn about popular testing in production techniques. We also want to show you some strategies, which help tackling common constraints you will face and provide you with an approach to gradually shift your testing to production.
Software engineering quality assurance and testingBipul Roy Bpl
The presentation discusses software quality assurance and testing. It covers topics such as the importance of software quality, types of software quality (functional and non-functional), software testing principles and processes. The testing process involves test planning, analysis and design, implementation and execution, evaluating results, and closure activities. The presentation emphasizes that testing is a critical part of the software development process to improve quality and find defects.
Foundation level testing Concepts,Non function testing ,Non-Functional testing ,Selenium Tool,
What is Software Testing Software Testing is an activity in software development.
It is an investigation performed against a software to provide information about the quality of the software to stakeholders.
Software testing is associated with the two terms.
Validation: Are we doing the right job?
Verification: Are we doing the job right?
Case study "Virtual Show Room" – VSR,water fall model,General Principles of Testing,
The General V-Model
Unit Testing
Component Testing
Integration Testing
System Testing
Acceptance Testing
This document provides an overview of manual testing. It discusses what software is, the types of software including system software and application software. It then covers topics like operating systems, software testing, why testing is important, types of errors, the goal of a tester, what makes a good tester, and software development life cycles (SDLC) including common SDLC models.
The document summarizes key principles of software testing including:
1. Testing is necessary because software will contain faults due to human errors, and failures can be costly.
2. Exhaustive testing of all possible test cases is impractical. Risk-based prioritization is used to test the most important cases first.
3. The test process includes planning, specification, execution, recording results and checking completion criteria. Effective test cases are prioritized to efficiently find faults.
The document discusses various types of software testing concepts including manual vs automated testing, test beds, test data, positive and negative test cases, defect priority and severity levels, test plans, security and recovery testing, and more. It provides definitions and explanations of these key testing concepts.
Similar to Software testing overview by subbu (20)
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
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What is Augmented Reality Image Trackingpavan998932
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3. Why Testing is necessary
Testing Techniques
Test Planning
Test Specification and Execution
Psychology of Testing
Defect Management
Test Automation
4. What is Testing?
Testing is a process used to identify the correctness,
completeness and quality of developed computer
software. Testing, apart from finding errors, is also
used to test performance, safety, fault-tolerance or
security.
Software testing is a broad term that covers a variety of
processes designed to ensure that software
applications function as intended, are able to handle
the volume required, and integrate correctly with other
software applications.
5. What is a “bug”?
Error:Error: a human action that produces ana human action that produces an
incorrect resultincorrect result
Fault:Fault: a manifestation of an error in softwarea manifestation of an error in software
- also known as a defect or bugalso known as a defect or bug
- if executed, a fault may cause a failureif executed, a fault may cause a failure
Failure:Failure: deviation of the software from itsdeviation of the software from its
expected delivery or serviceexpected delivery or service
- (found defect)(found defect)
Failure is an event; fault is a state of
the software, caused by an error
Failure is an event; fault is a state of
the software, caused by an error
6. Error - Fault - Failure
A person makes
an error ...
… that creates a
fault in the
software ...
… that can cause
a failure
in operation
7. Reliability versus faults
Reliability: the probability that software will notReliability: the probability that software will not
cause the failure of the system for a specifiedcause the failure of the system for a specified
time under specified conditionstime under specified conditions
- Can a system be fault-free? (zero faults, right firstCan a system be fault-free? (zero faults, right first
time)time)
- Can a software system be reliable but still haveCan a software system be reliable but still have
faults?faults?
- Is a “fault-free” software application alwaysIs a “fault-free” software application always
reliable?reliable?
8. Reliability versus faults
Reliability: the probability that software will notReliability: the probability that software will not
cause the failure of the system for a specifiedcause the failure of the system for a specified
time under specified conditionstime under specified conditions
- Can a system be fault-free? (zero faults, right firstCan a system be fault-free? (zero faults, right first
time)time)
- Can a software system be reliable but still haveCan a software system be reliable but still have
faults?faults?
- Is a “fault-free” software application alwaysIs a “fault-free” software application always
reliable?reliable?
9. Why do faults occur in software?
Software is written by human beingsSoftware is written by human beings
- who know something, but not everythingwho know something, but not everything
- who have skills, but aren’t perfectwho have skills, but aren’t perfect
- who do make mistakes (errors)who do make mistakes (errors)
Under increasing pressure to deliver to strictUnder increasing pressure to deliver to strict
deadlinesdeadlines
- no time to check but assumptions may be wrongno time to check but assumptions may be wrong
- systems may be incompletesystems may be incomplete
If you have ever written software ...If you have ever written software ...
10. What do software faults cost?What do software faults cost?
Huge sumsHuge sums
- Ariane 5 ($7billion)Ariane 5 ($7billion)
- Mariner space probe to Venus ($250m)Mariner space probe to Venus ($250m)
- American Airlines ($50m)American Airlines ($50m)
Very little or nothing at allVery little or nothing at all
- minor inconvenienceminor inconvenience
- no visible or physical detrimental impactno visible or physical detrimental impact
Software is not “linear”:Software is not “linear”:
- small input may have very large effectsmall input may have very large effect
11. Safety-critical systemsSafety-critical systems
software faults can cause death or injurysoftware faults can cause death or injury
- radiation treatment kills patients (Therac-25)radiation treatment kills patients (Therac-25)
- train driver killedtrain driver killed
- aircraft crashes (Airbus & Korean Airlines)aircraft crashes (Airbus & Korean Airlines)
- bank system overdraft letters cause suicidebank system overdraft letters cause suicide
12. So why is testing necessary?So why is testing necessary?
- because software is likely to have faultsbecause software is likely to have faults
- to learn about the reliability of the softwareto learn about the reliability of the software
- to fill the time between delivery of the software andto fill the time between delivery of the software and
the release datethe release date
- to prove that the software has no faultsto prove that the software has no faults
- because testing is included in the project planbecause testing is included in the project plan
- because failures can be very expensivebecause failures can be very expensive
- to avoid being used by customersto avoid being used by customers
- to stay in businessto stay in business
13. Why not just "test everything"?Why not just "test everything"?
system hassystem has
20 screens20 screens
Average: 10 fields / screenAverage: 10 fields / screen
2 types input / field2 types input / field
(date as Jan 3 or 3/1)(date as Jan 3 or 3/1)
(number as integer or decimal)(number as integer or decimal)
Around 100 possible valuesAround 100 possible values
Total for 'exhaustive' testing:Total for 'exhaustive' testing:
20 x 4 x 3 x 10 x 2 x 100 =20 x 4 x 3 x 10 x 2 x 100 = 480,000 tests480,000 tests
IfIf 1 second1 second per test, 8000 mins, 133 hrs,per test, 8000 mins, 133 hrs, 17.7 days17.7 days
(not counting finger trouble, faults or retest)(not counting finger trouble, faults or retest)
Avr. 4 menusAvr. 4 menus
3 options / menu3 options / menu
10 secs = 34 wks, 1 min = 4 yrs, 10 min = 40 yrs10 secs = 34 wks, 1 min = 4 yrs, 10 min = 40 yrs
14. Exhaustive testing?Exhaustive testing?
What is exhaustive testing?What is exhaustive testing?
- when all the testers are exhaustedwhen all the testers are exhausted
- when all the planned tests have been executedwhen all the planned tests have been executed
- exercising all combinations of inputs andexercising all combinations of inputs and
preconditionspreconditions
How much time will exhaustive testing take?How much time will exhaustive testing take?
- infinite timeinfinite time
- not much timenot much time
- impractical amount of timeimpractical amount of time
15. How much testing is enough?How much testing is enough?
- it’s never enoughit’s never enough
- when you have done what you plannedwhen you have done what you planned
- when your customer/user is happywhen your customer/user is happy
- when you have proved that the system workswhen you have proved that the system works
correctlycorrectly
- when you are confident that the system workswhen you are confident that the system works
correctlycorrectly
- it depends on the risks for your systemit depends on the risks for your system
16. How much testing?How much testing?
It depends onIt depends on RISKRISK
- riskrisk of missing important faultsof missing important faults
- riskrisk of incurring failure costsof incurring failure costs
- riskrisk of releasing untested or under-tested softwareof releasing untested or under-tested software
- riskrisk of losing credibility and market shareof losing credibility and market share
- riskrisk of missing a market windowof missing a market window
- riskrisk of over-testing, ineffective testingof over-testing, ineffective testing
17. - what not to test (this time)what not to test (this time)
useuse RISKRISK toto
- allocate the time available for testing byallocate the time available for testing by
prioritising testing ...prioritising testing ...
So little time, so much to test ..So little time, so much to test ..
Test time will always be limitedTest time will always be limited
useuse RISKRISK to determine:to determine:
- what to test firstwhat to test first
- what to test mostwhat to test most
- how thoroughly to test each itemhow thoroughly to test each item
}} i.e. where toi.e. where to
place emphasisplace emphasis
18. Most important principle
Prioritise tests
so that,
whenever you stop testing,
you have done the best testing
in the time available.
Prioritise tests
so that,
whenever you stop testing,
you have done the best testing
in the time available.
19. Testing and QualityTesting and Quality
Testing measures software qualityTesting measures software quality
Testing can find faults; when they are removed,Testing can find faults; when they are removed,
software quality (and possibly reliability) issoftware quality (and possibly reliability) is
improvedimproved
What does testing test?What does testing test?
- system function, correctness of operationsystem function, correctness of operation
- non-functional qualities: reliability, usability,non-functional qualities: reliability, usability,
maintainability, reusability, testability, etc.maintainability, reusability, testability, etc.
20. Other factors that influence testingOther factors that influence testing
Contractual requirementsContractual requirements
Legal requirementsLegal requirements
Industry-specific requirementsIndustry-specific requirements
- e.g. pharmaceutical industry (FDA), compilere.g. pharmaceutical industry (FDA), compiler
standard tests, safety-critical or safety-related suchstandard tests, safety-critical or safety-related such
as railroad switching, air traffic controlas railroad switching, air traffic control
It is difficult to determineIt is difficult to determine
how much testing is enoughhow much testing is enough
but it is not impossiblebut it is not impossible
It is difficult to determineIt is difficult to determine
how much testing is enoughhow much testing is enough
but it is not impossiblebut it is not impossible
23. Find all the missing informationFind all the missing information
• WhoWho
• WhatWhat
• WhereWhere
• WhenWhen
• WhyWhy
• HowHow
Verification “What to Look For?”
24. Simply giving a document to a colleague
and asking them to look at it closely which
will identify defects we might never find
on our own.
Peer Review
25. Informal meetings, where participants come to the
meeting and the author gives the presentation.
Objective:
- To detect defects and become familiar with the material
Elements:
- A planned meeting where only the presenter must
prepare
- A team of 2-7 people, led by the author
- Author usually the presenter.
Inputs:
- Element under examination, objectives for the
walkthroughs applicable standards.
Output:
- Defect report
Walkthrough
26. Formal meeting, characterized by individual preparation by allFormal meeting, characterized by individual preparation by all
participants prior to the meeting.participants prior to the meeting.
Objectives:Objectives:
- To obtain defects and collect data.To obtain defects and collect data.
- To communicate important work product information .To communicate important work product information .
Elements:Elements:
- A planned, structured meeting requiring individualA planned, structured meeting requiring individual
preparation by all participants.preparation by all participants.
- A team of people, led by an impartial moderator who assureA team of people, led by an impartial moderator who assure
that rules are being followed and review is effective.that rules are being followed and review is effective.
- Presenter is “reader” other than the author.Presenter is “reader” other than the author.
- Other participants are inspectors who review,Other participants are inspectors who review,
- Recorder to record defects identified in work productRecorder to record defects identified in work product
Inspection
27. An important tool specially in formal meetings
like inspections
They provide maximum leverage on verification
There are generic checklists that can be applied
at a high level and maintained for each type of
inspection
There are checklists for requirements, functional
design specifications, internal design
specifications, for code
Checklists : the verification tool
28. Two main strategies for validating software
- White Box testing
- Black Box testing
Validation Strategies
29. White Box TestingWhite Box Testing
- Deals with the internal logic and structure of theDeals with the internal logic and structure of the
codecode
- The tests are written based on the white box testingThe tests are written based on the white box testing
strategy incorporate coverage of the code written,strategy incorporate coverage of the code written,
branches, paths, statements and internal logic ofbranches, paths, statements and internal logic of
the code etc.the code etc.
- Normally done the developersNormally done the developers
Validation StrategiesValidation Strategies
30. White Box Testing can be done by:White Box Testing can be done by:
- Data CoverageData Coverage
- Code CoverageCode Coverage
White Box testingWhite Box testing
31. Data CoverageData Coverage
- Data flow is monitored or examinedData flow is monitored or examined
through out the program. E.g. watchthrough out the program. E.g. watch
window we use to monitor the values ofwindow we use to monitor the values of
the variables and expressionsthe variables and expressions..
White Box Testing
32. Code CoverageCode Coverage
- It’s a process of finding areas of a programIt’s a process of finding areas of a program
not exercised by a set of test cases.not exercised by a set of test cases.
- Creating additional test cases to increaseCreating additional test cases to increase
coveragecoverage
- Code coverage can be implemented usingCode coverage can be implemented using
basic measure like, statement coverage,basic measure like, statement coverage,
decision coverage, condition coverage anddecision coverage, condition coverage and
path coveragepath coverage
White Box Testing
33. Black Box Testing
- Does not need any knowledge of internal design orDoes not need any knowledge of internal design or
codecode
- Its totally based on the testing for the requirementsIts totally based on the testing for the requirements
and functionality of the work product/softwareand functionality of the work product/software
application.application.
- Tester is needed to be thorough with theTester is needed to be thorough with the
requirement specifications of the system and as arequirement specifications of the system and as a
user, should know how the system should behave inuser, should know how the system should behave in
response to the particular action.response to the particular action.
Validation Strategies
34. Commonly used Black Box methods :Commonly used Black Box methods :
- Equivalence partitioning
- Boundary-value analysis
- Error guessing
Black Box testing MethodsBlack Box testing Methods
35. An equivalence class is a subset of data that is
representative of a larger class.
Equivalence partitioning is a technique for testing
equivalence classes rather than undertaking
exhaustive testing of each value of the larger
class.
Equivalence Partitioning
36. If we expect the same result from two tests, you considerIf we expect the same result from two tests, you consider
them equivalent. A group of tests from an equivalencethem equivalent. A group of tests from an equivalence
class if,class if,
- They all test the same thing
- If one test catches a bug, the others probably will too
- If one test doesn’t catch a bug, the others probably won’t either
Equivalence PartitioningEquivalence Partitioning
37. For example, a program which edits credit limitsFor example, a program which edits credit limits
within a given range ($10,000-$15,000) wouldwithin a given range ($10,000-$15,000) would
have three equivalence classes:have three equivalence classes:
- Less than $10,000 (invalid)Less than $10,000 (invalid)
- Between $10,000 and $15,000 (valid)Between $10,000 and $15,000 (valid)
- GreaterGreater thanthan $15,000 (invalid)$15,000 (invalid)
Equivalence PartitioningEquivalence Partitioning
38. Partitioning system inputs and outputs intoPartitioning system inputs and outputs into
‘equivalence sets’‘equivalence sets’
- If input is a 5-digit integer between 10,000 and 99,999If input is a 5-digit integer between 10,000 and 99,999
equivalence partitions are <10,000, 10,000-99,999 andequivalence partitions are <10,000, 10,000-99,999 and
>99,999>99,999
The aim is to minimize the number of test casesThe aim is to minimize the number of test cases
required to cover these input conditionsrequired to cover these input conditions
Equivalence PartitioningEquivalence Partitioning
39. Equivalence classes may be defined according to the
following guidelines:
- If an input condition specifies a range, one valid and two
invalid equivalence classes are defined.
- If an input condition requires a specific value, then one valid
and two invalid equivalence classes are defined.
- If an input condition is Boolean, then one valid and one
invalid equivalence class are defined.
Equivalence Partitioning
40. Divide the input domain into classes of data for which test
cases can be generated.
Attempting to uncover classes of errors.
Based on equivalence classes for input conditions.
An equivalence class represents a set of valid or invalid
states
An input condition is either a specific numeric value, range
of values, a set of related values, or a Boolean condition.
Equivalence classes can be defined by:
• If an input condition specifies a range or a specific value,
one valid and two invalid equivalence classes defined.
• If an input condition specifies a Boolean or a member of a
set, one valid and one invalid equivalence classes defined.
Test cases for each input domain data item developed and
executed.
Equivalence Partitioning Summary
41. “Bugs lurk in corners and congregate at boundaries…”
Boris Beizer
Boundary value analysis
42. A technique that consists of developing test cases and data
that focus on the input and output boundaries of a given
function.
In same credit limit example, boundary analysis would test:
- Low boundary plus or minus one ($9,999 and $10,001)
- On the boundary ($10,000 and $15,000)
- Upper boundary plus or minus one ($14,999 and $15,001)
Boundary value analysis
43. Large number of errors tend to occur at boundaries of the input
domain
BVA leads to selection of test cases that exercise boundary
values
BVA complements equivalence partitioning. Rather than select
any element in an equivalence class, select those at the ''edge' of
the class
Examples:
For a range of values bounded by a and b, test (a-1), a, (a+1), (b-
1), b, (b+1)
If input conditions specify a number of values n, test with (n-1), n
and (n+1) input values
Apply 1 and 2 to output conditions (e.g., generate table of
minimum and maximum size)
Boundary value analysis
44. Example: Loan application
Customer Name
Account number
Loan amount requested
Term of loan
Monthly repayment
Term:
Repayment:
Interest rate:
Total paid back:
6 digits, 1st
non-zero
£500 to £9000
1 to 30 years
Minimum £10
2-64 chars.
45. Account number
5 6 7
invalid
valid
invalid
Number of digits:
First character:
invalid: zero
valid: non-zero
Conditions Valid
Partitions
Invalid
Partitions
Valid
Boundaries
Invalid
Boundaries
Account
number
6 digits
1st non-zero
< 6 digits
> 6 digits
1st digit = 0
non-digit
100000
999999
5 digits
7 digits
0 digits
46. Based on the theory that test cases can beBased on the theory that test cases can be
developed based upon the intuition anddeveloped based upon the intuition and
experience of the Test Engineerexperience of the Test Engineer
For example, in an example where one of theFor example, in an example where one of the
inputs is the date, a test engineer might tryinputs is the date, a test engineer might try
February 29,2000 or 9/9/99February 29,2000 or 9/9/99
Error Guessing
47. Various Types of TestingVarious Types of Testing
Validation is done at two levelsValidation is done at two levels
- Low LevelLow Level
• Unit testingUnit testing
• Integration TestingIntegration Testing
- High LevelHigh Level
• Function TestingFunction Testing
• System TestingSystem Testing
• Acceptance TestingAcceptance Testing
Validation ActivitiesValidation Activities
48. - Searches for defect and verifies the functionality of
software, depending upon the context of the development
- It includes testing of functional and non-functional
characteristics
- It occurs with access to code being tested and with the
support of development environment
- Defects are fixed as soon as they are found with out
formally recording incident
- If test cases are prepared and automated before coding, it
is termed as test-first approach or test-driven
development.
Unit Testing
49. Integration Testing
Integration testing tests interface between
components, interaction to different parts of system.
Greater the scope of Integration, more it becomes to
isolate failures to specific component or system, which
may leads to increased risk.
Integration testing should normally be integral rather
than big bang, in order to reduce the risk of late defect
discovery
Non functional characteristics (e.g. performance) may
be included in Integration Testing
50. Functional Testing
It is used to detect discrepancies between a program’s
functional specification and the actual behavior of an
application.
The goal of function testing is to verify whether your
product meets the intended functional specifications
laid out the development documentation.
When a discrepancy is detected, either the program or
the specification is incorrect.
All the black box methods are applicable to function
based testing
51.
It is concerned with the behavior of whole system as
defined by the scope of development project
It includes both functional and non-functional
requirement of system
System testing falls within the scope of black box
testing.
On building the entire system, it needs to be tested
against the system specification.
An Independent testing team may carry out System
Testing
System Testing
53. Usability Testing
The typical aim of usability testing is to cause the application to
fail to meet its usability requirements so that the underlying
defects can be identified, analyzed, fixed, and prevented in the
future.
Performance testing is testing to ensure that the application
response in the limit set by the user.
Performance Testing
Subject the system to extreme pressure in a short
span.
E.g Simultaneous log-on of 500 users
Saturation load of transactions
Stress Testing
54. Configuration Testing
Configuration testing is the process of checking the
operation of the software you are testing with all
these various types of hardware.
Compatibility Testing
The purpose of compatibility testing is to evaluate
how well software performs in a particular hardware,
software, operating system, browser or network
environment.
55. Acceptance Testing
Acceptance testing may assess the system readinessAcceptance testing may assess the system readiness
for deployment and usefor deployment and use
The goal is to establish confidence in the system,The goal is to establish confidence in the system,
parts of system or non-functional characteristics ofparts of system or non-functional characteristics of
the systemthe system
Following are types of Acceptance Testing:Following are types of Acceptance Testing:
- User Acceptance TestingUser Acceptance Testing
- Operational TestingOperational Testing
- Contract and Regulation Acceptance TestingContract and Regulation Acceptance Testing
- Alpha and Beta TestingAlpha and Beta Testing
56. Objectives of Different Types of Testing
In development Testing, main objective is to cause as
many failures as possible.
In Acceptance Testing, main objective is to confirm that
system work as expected.
In Maintenance Testing, main objective is to make sure
that no new errors have been introduced.
In Operational testing, main objective may be to access
system characteristics such as reliability and availability.
57. Other Testing Types
Other than validation activities like unit, integration,
system and acceptance we have the following other
types of testing
Mutation testing
Progressive testing
Regression testing
Retesting
Localization testing
Internationalization testing
58. Mutation testing is a process of adding known faults
intentionally, in a computer program to monitor the
rate of detection and removal, and estimating the
umber of faults remaining in the program. It is also
called Be-bugging or fault injection.
Mutation testing
59. Most test cases, unless they are truly throw-away, begin as
progressive test cases and eventually become regression test
cases for the life of the product.
Progressive/Regressive Testing
Regression testing is not another testing activity
It is a re-execution of some or all of the tests developed for a
specific testing activity for each build of the application
Verify that changes or fixes have not introduced new problems
It may be performed for each activity (e.g. unit test, function test,
system test etc)
Regression Testing
60. Regression Testing
evolve over time
are run often
may become rather large
Why retest?
Because any software product that is actively used
and supported must be changed from time to time,
and every new version of a product should be
retested
Retesting
61. The process of adapting software to a specific locale,
taking into account, its language, dialect, local
conventions and culture is called localization.
Localization Testing
The process of designing an application so that it can be
adapted to various languages and regions without
engineering changes.
Internationalization Testing
62. Test Types : The Target ofTest Types : The Target of
TestingTesting
Testing of functions (functional testing)Testing of functions (functional testing)
- It is the testing of “what” the system doesIt is the testing of “what” the system does
- Functional testing considers external behavior of the systemFunctional testing considers external behavior of the system
- Functional testing may be performed at all test levelsFunctional testing may be performed at all test levels
Testing of software product characteristics (non-functionalTesting of software product characteristics (non-functional
testing)testing)
- It is the testing of “How” the system worksIt is the testing of “How” the system works
- Nonfunctional testing describes the test required to measureNonfunctional testing describes the test required to measure
characteristics of systems and s/w that can be quantified on varyingcharacteristics of systems and s/w that can be quantified on varying
scalescale
- Non-functional testing may be performed at all levelsNon-functional testing may be performed at all levels
63. Test Types : The Target of Testing
Testing of software structure/architecture (structural testing)
- Structural testing is used in order to help measure the thoroughness of
testing through assessment of coverage of a type of structure
- Structural testing may be performed at all levels.
Testing related to changes (confirmation and regression testing)
- When a defect is detected and fixed then the software should be retested
to confirm that the original defects has been successfully removed. This is
called Confirmation testing
- Regression Testing is the repeated testing of an already tested program,
after modification, to discover any defects as a result of changes.
- Regression Testing may be performed at all levels.
64. It is the process of defining a testing project such that
it can be properly measured and controlled
It includes test designing, test strategy, test
requirements and testing resources
Test Planning
65. Test Planning - different levels
Test
Policy
Test
Strategy
Company level
High Level
Test Plan
High Level
Test Plan
Project level (IEEE 829)
(one for each project)
Detailed
Test Plan
Detailed
Test Plan
Detailed
Test Plan
Detailed
Test Plan
Test stage level (IEEE 829)
(one for each stage within a project,
e.g. Component, System, etc.)
66. Parts of Test Planning
Comm’n
Mgmt
Risk
Mgmt
Test Script
And
Scheduling
Identifying
Test
Deliverables Identifying
Env needs
Identifying
Skill sets /
Trng
Setting
Entry / Exit
Criteria
Deciding
Test
Strategy
Scope
Mgmt
Preparing
A Test
Plan
Test
Planning
Start
Here
67. Test Planning
Test Planning is a continuous activity and is performed in allTest Planning is a continuous activity and is performed in all
the life cycle processes and activitiesthe life cycle processes and activities
Test Planning activities includes:Test Planning activities includes:
- Defining the overall approachDefining the overall approach
- Integrating and coordinating the testing activities into software lifeIntegrating and coordinating the testing activities into software life
cycle activitiescycle activities
- Assigning resources for different tasks definedAssigning resources for different tasks defined
- Defining the amount, level of detail, structure and templates for testDefining the amount, level of detail, structure and templates for test
documentationdocumentation
- Selecting metrics for monitoring and controlling test preparationSelecting metrics for monitoring and controlling test preparation
- Making decisions about what to test, what roles will perform the testMaking decisions about what to test, what roles will perform the test
activities, when and how test activities should be done, how the testactivities, when and how test activities should be done, how the test
results will be evaluated and when to stop the testingresults will be evaluated and when to stop the testing
68. Test Planning
Exit Criteria – Defines when to stop testingExit Criteria – Defines when to stop testing
Exit criteria may consist ofExit criteria may consist of
- Thoroughness measures, such as coverage of code,Thoroughness measures, such as coverage of code,
functionality or riskfunctionality or risk
- Estimates of defect density or reliability measuresEstimates of defect density or reliability measures
- CostCost
- Residual riskResidual risk
- Schedules such as those based on time to marketSchedules such as those based on time to market
69. Risk Objectives
Suppliers IssuesSuppliers Issues
• Failure of a third partyFailure of a third party
• Contractual IssuesContractual Issues
Organizational FactorsOrganizational Factors
• Skill and staff shortageSkill and staff shortage
• Personal and training issuesPersonal and training issues
• Potential issues, such as problem with testers communication,Potential issues, such as problem with testers communication,
failure to follow up the information found in Testingfailure to follow up the information found in Testing
• Improper attitude towards testingImproper attitude towards testing
Technical IssuesTechnical Issues
• Problem in defining the right requirementProblem in defining the right requirement
• The extent that requirements can be met given existingThe extent that requirements can be met given existing
constraintsconstraints
• Quality of design, code and testsQuality of design, code and tests
70. Risk Objectives
Product/Project Risks ObjectiveProduct/Project Risks Objective
- Error prone software deliveredError prone software delivered
- Potential that the software/hardware could causePotential that the software/hardware could cause
harm to company/individualharm to company/individual
- Poor software characteristicsPoor software characteristics
- Software that does not perform its intendedSoftware that does not perform its intended
functionsfunctions
A risk based approach to testing providesA risk based approach to testing provides
proactive opportunities to reduce the levels ofproactive opportunities to reduce the levels of
product risks, starting in the initial stages ofproduct risks, starting in the initial stages of
projectproject
73. A good test case
effective
exemplary
evolvable
economic
Finds faults
Represents others
Easy to maintain
Cheap to use
74. Test specification
test specification can be broken down into threetest specification can be broken down into three
distinct tasks:distinct tasks:
1.1. identify:identify: determine ‘what’ is to be tested (identifydetermine ‘what’ is to be tested (identify
test conditions) and prioritisetest conditions) and prioritise
2.2. design:design: determine ‘how’ the ‘what’ is to be testeddetermine ‘how’ the ‘what’ is to be tested
(i.e. design test cases)(i.e. design test cases)
3.3. build:build: implement the tests (data, scripts, etc.)implement the tests (data, scripts, etc.)
75. Task 1: identify conditions
list the conditions that we would like to test:list the conditions that we would like to test:
- use the test design techniques specified in the test planuse the test design techniques specified in the test plan
- there may be many conditions for each system functionthere may be many conditions for each system function
or attributeor attribute
- e.g.e.g.
• ““life assurance for a winter sportsman”life assurance for a winter sportsman”
• ““number items ordered > 99”number items ordered > 99”
• ““date = 29-Feb-2004”date = 29-Feb-2004”
prioritise the test conditionsprioritise the test conditions
- must ensure most important conditions are coveredmust ensure most important conditions are covered
(determine ‘what’ is to be tested and prioritise)
77. Task 2: design test casesTask 2: design test cases
design test input and test datadesign test input and test data
- each test exercises one or more test conditionseach test exercises one or more test conditions
determine expected resultsdetermine expected results
- predict the outcome of each test case, what ispredict the outcome of each test case, what is
output, what is changed and what is not changedoutput, what is changed and what is not changed
design sets of testsdesign sets of tests
- different test sets for different objectives such asdifferent test sets for different objectives such as
regression, building confidence, and finding faultsregression, building confidence, and finding faults
(determine ‘how’ the ‘what’ is to be tested)(determine ‘how’ the ‘what’ is to be tested)
79. Task 3: build test casesTask 3: build test cases
prepare test scriptsprepare test scripts
- less system knowledge tester has the more detailedless system knowledge tester has the more detailed
the scripts will have to bethe scripts will have to be
- scripts for tools have to specify every detailscripts for tools have to specify every detail
prepare test dataprepare test data
- data that must exist in files and databases at the startdata that must exist in files and databases at the start
of the testsof the tests
prepare expected resultsprepare expected results
- should be defined before the test is executedshould be defined before the test is executed
(implement the test cases)(implement the test cases)
81. Execution
Execute prescribed test casesExecute prescribed test cases
- mostmost importantimportant ones firstones first
- would not execute all test cases ifwould not execute all test cases if
• testing only fault fixestesting only fault fixes
• too many faults found by early test casestoo many faults found by early test cases
• time pressuretime pressure
- can be performed manually or automatedcan be performed manually or automated
83. Test recording 1
The test record contains:The test record contains:
- identities and versions (unambiguously) ofidentities and versions (unambiguously) of
• software under testsoftware under test
• test specificationstest specifications
Follow the planFollow the plan
- mark off progress on test scriptmark off progress on test script
- document actual outcomes from the testdocument actual outcomes from the test
- capture any other ideas you have for new test casescapture any other ideas you have for new test cases
- note that these records are used to establish that allnote that these records are used to establish that all
test activities have been carried out as specifiedtest activities have been carried out as specified
84. TestTest recording 2recording 2
Compare actual outcome with expectedCompare actual outcome with expected
outcome. Log discrepancies accordingly:outcome. Log discrepancies accordingly:
- software faultsoftware fault
- test fault (e.g. expected results wrong)test fault (e.g. expected results wrong)
- environment or version faultenvironment or version fault
- test run incorrectlytest run incorrectly
Log coverage levels achieved (for measuresLog coverage levels achieved (for measures
specified as test completion criteria)specified as test completion criteria)
After the fault has been fixed, repeat theAfter the fault has been fixed, repeat the
required test activities (execute, design, plan)required test activities (execute, design, plan)
86. Check test completion
Test completion criteria were specified in the
test plan
If not met, need to repeat test activities, e.g.
test specification to design more tests
specification execution recording
check
completion
Coverage too low
Coverage
OK
87. Test completion criteria
Completion or exit criteria apply to all levels ofCompletion or exit criteria apply to all levels of
testing - to determine when to stoptesting - to determine when to stop
- coverage, using a measurement technique, e.g.coverage, using a measurement technique, e.g.
• branch coverage for unit testingbranch coverage for unit testing
• user requirementsuser requirements
• most frequently used transactionsmost frequently used transactions
- faults found (e.g. versus expected)faults found (e.g. versus expected)
- cost or timecost or time
90. Why test?
build confidence
prove that the software is correct
demonstrate conformance to requirements
find faults
reduce costs
show system meets user needs
assess the software quality
93. A traditional testing approach
Show that the system:
- does what it shoulddoes what it should
- doesn't do what it shouldn'tdoesn't do what it shouldn't
Fastest achievement: easy test cases
Goal: show working
Success: system works
Goal: show working
Success: system works
Result: faults left inResult: faults left in
94. A better testing approach
Show that the system:
- does what it shouldn'tdoes what it shouldn't
- doesn't do what it shoulddoesn't do what it should
Fastest achievement: difficult test cases
Goal: find faults
Success: system fails
Goal: find faults
Success: system fails
Result: fewer faults left inResult: fewer faults left in
95. The testing paradox
Purpose of testing: to find faults
The best way to build confidence
is to try to destroy it
The best way to build confidence
is to try to destroy it
Purpose of testing: build confidence
Finding faults destroys confidence
Purpose of testing: destroy confidence
96. Who wants to be a tester?
A destructive process
Bring bad news (“your baby is ugly”)
Under worst time pressure (at the end)
Need to take a different view, a different mindset
(“What if it isn’t?”, “What could go wrong?”)
How should fault information be communicated
(to authors and managers?)
97. Tester’s have the right to:
- accurate information about progress and changes
- insight from developers about areas of the software
- delivered code tested to an agreed standard
- be regarded as a professional (no abuse!)
- find faults!
- challenge specifications and test plans
- have reported faults taken seriously (non-reproducible)
- make predictions about future fault levels
- improve your own testing process
98. Testers have responsibility to:
- follow the test plans, scripts etc. as documented
- report faults objectively and factually (no abuse!)
- check tests are correct before reporting s/w faults
- remember it is the software, not the programmer,
that you are testing
- assess risk objectively
- prioritise what you report
- communicate the truth
99. Independence
Test your own work?Test your own work?
- find 30% - 50% of your own faultsfind 30% - 50% of your own faults
- same assumptions and thought processessame assumptions and thought processes
- see what you meant or want to see, not what is theresee what you meant or want to see, not what is there
- emotional attachmentemotional attachment
• don’t want to find faultsdon’t want to find faults
• actively want NOT to find faultsactively want NOT to find faults
100. Levels of independence
None: tests designed by the person who wrote
the software
Tests designed by a different person
Tests designed by someone from a different
department or team (e.g. test team)
Tests designed by someone from a different
organisation (e.g. agency)
Tests generated by a tool (low quality tests?)
102. Defect Management
A flaw in a system or system component that causes the
system or component to fail to perform its required
function. - SEI
A defect, if encountered during execution, may cause a
failure of the system.
What is definition of defect?
106. When a tester reports a Defect, it is tracked through the following
stages: New, Open, Fixed, and Closed. A defect may also be
Rejected, or Reopened after it is fixed. A defect may be Deferred
for a look at a later point of time.
By default a defect is assigned the status New.
A quality assurance or project manager reviews the defect, and
determines whether or not to consider the defect for repair. If the
defect is refused, it is assigned the status Rejected.
If the defect is accepted, the quality assurance or project manager
determines a repair priority, changes its status to Open, and
assigns it to a member of the development team.
Defect Life Cycle
107. A developer repairs the defect and assigns it the
status Fixed.
Tester retests the application, making sure that the
defect does not recur. If the defect recurs, the quality
assurance or project manager assigns it the status
Reopened.
If the defect is actually repaired, it is assigned the
status Closed.
Defect Life Cycle
112. How many testers do we need to
change a light bulb?
None. Testers just noticed that the room was dark.
Testers don't fix the problems, they just find them
113. Report a defect
The point of writing Problem Reports is to get bugs fixed.
What Do You Do When You Find a defect?
117. Principles of Test Automation
# 1: Choose carefully what to automate
Automate tests for highly visible areas
Minimize automating change-prone areas
Between GUI and non-GUI portion automation, go for automating
non-GUI portions first
Automate tests for dependencies to catch ripple effects early
Automate areas where multiple combos are possible (pros and
cons)
Automate areas that are re-usable
Automate “easy areas” to show low hanging fruits
118. Principles of Test Automation
# 2: Ensure Automation Covers Full
Circle
Plan
DoCheck
Act
• Automatic Analysis
• Fish Bone Diagrams
• Problem Identification
• Test Capture
• Test Execution
• Results Comparison
• Test Planning
• Automation Planning
• Corrective Action
Implementation
• Automatic Rollover
to next runs
• Incorporation into
Regression
119. Compatibility to Platform
Portability across platforms
Integration with TCDB, DR and SCM
2-way mapping to source code (may not be possible
in services)
Scripting Language
Compatible to Multiple Programming Environments
Configurability
Test Case Reusability
Selective Execution
Smart Comparison
Reliable Support
Current documentation
Principles of Test Automation
# 3: Choose Proper Automation Tool
122. Start small
Don’t try to automate everything
at the same time
Allow time for evolving standards
Principles of Test Automation
# 6: Run a Trial & Calibrate the Tool
124. • There are plenty of tools available and rarely does one tool meet
all the requirements
• The test tools are expensive (both in upfront costs and running
costs)
• Test tools also require good amount of training and only few
vendors available for training
•Training may not always keep pace with new versions of the tools
• Test tools expect the users to learn new language/scripts and may
not use standard languages/scripts
• Deploying a test tool requires equal amount of effort as deploying
a new product in a company – never underestimate the effort and
pain involved!
Common Experiences in Test Automation
125. • Migrating from one test tool to another may be difficult and
requires good amount of effort
• Test tools are one generation behind and may not provide
backward / forward compatibility (eg. JAVA SDK support)
• Good number of test tools requires their libraries linked with
product binaries – Causes portions of the testing to be repeated
after those libraries are removed (eg. Performance)
• Test tools are not 100% cross platform – They are supported only
on some platforms and the sources generated from these tools may
not be compatible on other
• Developing sharewares/public domain test tools may not get same
amount of participation/involvement/support as of
standards/products (eg. As against Linux)
Common Experiences in Test Automation
126. The experiences
• Test tools may not go through same amount of
evaluation for new requirements (eg Year 2000, 508)
•The test tools increases the system requirements and
requires the H/W and S/W to be upgraded at
compile/run-time
• The test tools are capable of testing only the product,
not the impact because of the product/test tool to the
system or network
• Good number of test tools can’t differentiate between a
product failure and the test suite failure – Causing
increased analysis time and manual testing
Common Experiences in Test Automation
127. The experiences
•The test tools may not provide good degree of
trouble shooting / debug/error messages to help
in analysis – Resulting in increased “printf”/log
messages in the test suite
• The test tools determine the results based on
messages and screen co-ordinates at run-time –
Intelligence needed to proactively find out the
changes
Common Experiences in Test Automation
128. • Automation shouldn’t be considered as stop-gap arrangement to
engage test engineers (when no test execution, do automation!). Test
Automation, like any other project, should start with the end in mind
• A separate team in the organization looking at automation
requirements, tool evaluation and developing generic test suites would
add more value (may not always apply to testing services organization)
• Automation doesn’t stop with automating the test cases alone. The
test suite needs to be linked with other tools for increased
effectiveness (e.g., Test case database, Defect filing, auto mails,
preparing automatic reports, etc)
• Automation doesn’t stop with recording & playing back the user
commands; Automated tool should be intelligent enough to say what
was expected, why a test case failed and give manual steps to
reproduce the problem
Common Pitfalls in Test Automation
Editor's Notes
Rather than simply reading the program or using error checklists. The participants “play computer”. The person designated as the tester comes to the meeting armed with small set of paper test cases – representative sets of inputs (and expected outputs) for the program or module. During the meeting, each test case is mentally executed. That is the test data are walked through the logic of the program. The state of the program (i.e. the values of the variables) is monitored on paper or a blackboard.
Of course, the test cases must be simple in nature and few in number, because people “execute” programs at a rate that is many orders of magnitude slower than a machine. Hence, the test cases themselves do not play a critical role, rather, they serve as a vehicle for getting started for questioning the programmer about his or her logic and assumptions. In most walkthroughs, more errors are found during the process of questioning the programmer than are found during the process of questioning the programmer than are found directly by the test cases themselves.
As in the inspection, the attitude of the participants is crucial. Comments should be directed toward the program rather than the programmer. In other words, errors are not viewed as weaknesses in the person who committed them. Rather, they are viewed as being inherent in the difficulty of program development and as a result of the as-yet primitive nature of current programming methods.
The walkthrough should have a follow-up process similar to that described for the inspection process. Also, the side effects observed from inspections (identification of error-prone sections and education in errors, style, and techniques) also apply to the walkthrough process.
The following are lesser used methods
Cause effect graphing
Syntax testing
State transition testing
Graph matrix
The following are lesser used methods
Cause effect graphing
Syntax testing
State transition testing
Graph matrix
The following are lesser used methods
Cause effect graphing
Syntax testing
State transition testing
Graph matrix
The following are lesser used methods
Cause effect graphing
Syntax testing
State transition testing
Graph matrix
The following are lesser used methods
Cause effect graphing
Syntax testing
State transition testing
Graph matrix
The following are lesser used methods
Cause effect graphing
Syntax testing
State transition testing
Graph matrix
The following are lesser used methods
Cause effect graphing
Syntax testing
State transition testing
Graph matrix
A smoke test or build verification test is a subset (usually automated) of a full test that broadly exercises parts of the application to determine whether further testing is worth or not.
Smoke testing is also called Sanity testing.
During this phase the application is tested for the stability or to be more precise to check if the application is not &quot;insane&quot;.
A smoke test is a small set of tests to determine the sanity of the build. The system integrator should do this test before the build is distributed to the group. Ie: you plug everything together and see if it &apos;smokes&apos;.
In software testing, smoke test is run right after a new build has been installed. It is used to verify that build versions are correct; that the build itself is complete and that all major functions still work.
Effective tester looks to the effect of the bug report, and tries to write it in a way that gives each bug its best chance of being fixed. Also, a bug report is successful if it enables an informed business decision. Sometimes, the best decision is to not fix the bug. The excellent bug raises the issue and provides sufficient data for a good decision.