Solving Flaky Automated Tests Using Machine LearningJames Farrier
James Farrier founded Appsurify to address test automation challenges, particularly unreliable or "flaky" tests that fail unexpectedly. The document discusses various causes of flaky tests and strategies for handling them, including manually or automatically removing flaky tests from runs, fixing the tests, rerunning tests, using bots to quarantine flaky results, prioritizing relevant tests for changes, and employing classification algorithms to detect flaky tests. The key challenges are scaling the efforts while still allowing tests to run and find defects.
This document discusses unit testing and mock frameworks. It defines common terms like unit test, fake, stub, and mock. It describes the strengths and weaknesses of unit testing. It then introduces TypeMock as a mock framework that can fake static, sealed, or non-public elements without requiring design changes for testability. The document also briefly debates the pros and cons of dictating design for testability and mentions some research on the benefits of test-driven development.
This document discusses unit testing in PHP. It explains that unit testing helps find bugs early when new code is added and prevents existing code from breaking. Unit tests should test individual units of code in isolation and be fast, isolated, repeatable and self-verifying. The document recommends writing unit tests before coding using a test-driven development approach. It also provides an overview of PHPUnit and best practices for writing high-quality unit tests.
Unit testing involves writing automated tests to test code. Automated tests are repeatable and help catch bugs before deploying code. The main benefits of unit testing are that it allows developers to test code frequently and in less time, catch bugs before deploying, deploy with confidence, reduce bugs in production, and refactor code with confidence.
There are different types of tests including unit tests, integration tests, and end-to-end tests. Unit tests isolate a unit of code without external dependencies and execute fast but provide less confidence. Integration tests involve external dependencies and provide more confidence but take longer. End-to-end tests drive the application through its UI and provide great confidence but are slow.
Good unit tests
This document provides an overview of test automation from the perspective of a test automation engineer. It discusses key topics like the test automation pyramid, reporting, design considerations, and deployment. The test automation pyramid emphasizes unit testing, integration testing, and end-to-end testing from the bottom to top. Reporting and metrics are important for understanding test results and efficiency. Design focuses on aspects like data-driven testing, robustness, and repeatability. Deployment involves piloting automation, maintaining scripts, and supporting evolving environments. The goal is to improve testing in areas like coverage, speed, and cost while maintaining quality.
Writing Better Tests - Applying Clean-Code TDD at 99designslachlandonald
The document discusses best practices for writing tests, including that tests should prove designed behaviors, focus on testing single units of code or closely collaborating classes, and be readable with short, clearly named methods that clearly indicate what is being tested and the expected result. Tests should follow guidelines like having a single concept, being short and readable, testing behaviors rather than configurations, using a build-operate-check structure, and having one assertion per test.
This document discusses unit testing and mock frameworks. It defines common terms like unit test, fake, stub, and mock. It notes the strengths and weaknesses of unit testing, as well as best practices for writing good unit tests. It then introduces TypeMock as a mock framework that can fake static, sealed, or non-public elements to make unit testing code without changes to design. Research on TDD is cited that found those using TDD wrote more tests and were more productive.
Talk @Carmudi GmbH office on Unit testing basics and advanced concepts, like Arrange-Act-Assert rule, Unit Test anatomy, etc. In the end - a small overview of Test Driven Development.
Solving Flaky Automated Tests Using Machine LearningJames Farrier
James Farrier founded Appsurify to address test automation challenges, particularly unreliable or "flaky" tests that fail unexpectedly. The document discusses various causes of flaky tests and strategies for handling them, including manually or automatically removing flaky tests from runs, fixing the tests, rerunning tests, using bots to quarantine flaky results, prioritizing relevant tests for changes, and employing classification algorithms to detect flaky tests. The key challenges are scaling the efforts while still allowing tests to run and find defects.
This document discusses unit testing and mock frameworks. It defines common terms like unit test, fake, stub, and mock. It describes the strengths and weaknesses of unit testing. It then introduces TypeMock as a mock framework that can fake static, sealed, or non-public elements without requiring design changes for testability. The document also briefly debates the pros and cons of dictating design for testability and mentions some research on the benefits of test-driven development.
This document discusses unit testing in PHP. It explains that unit testing helps find bugs early when new code is added and prevents existing code from breaking. Unit tests should test individual units of code in isolation and be fast, isolated, repeatable and self-verifying. The document recommends writing unit tests before coding using a test-driven development approach. It also provides an overview of PHPUnit and best practices for writing high-quality unit tests.
Unit testing involves writing automated tests to test code. Automated tests are repeatable and help catch bugs before deploying code. The main benefits of unit testing are that it allows developers to test code frequently and in less time, catch bugs before deploying, deploy with confidence, reduce bugs in production, and refactor code with confidence.
There are different types of tests including unit tests, integration tests, and end-to-end tests. Unit tests isolate a unit of code without external dependencies and execute fast but provide less confidence. Integration tests involve external dependencies and provide more confidence but take longer. End-to-end tests drive the application through its UI and provide great confidence but are slow.
Good unit tests
This document provides an overview of test automation from the perspective of a test automation engineer. It discusses key topics like the test automation pyramid, reporting, design considerations, and deployment. The test automation pyramid emphasizes unit testing, integration testing, and end-to-end testing from the bottom to top. Reporting and metrics are important for understanding test results and efficiency. Design focuses on aspects like data-driven testing, robustness, and repeatability. Deployment involves piloting automation, maintaining scripts, and supporting evolving environments. The goal is to improve testing in areas like coverage, speed, and cost while maintaining quality.
Writing Better Tests - Applying Clean-Code TDD at 99designslachlandonald
The document discusses best practices for writing tests, including that tests should prove designed behaviors, focus on testing single units of code or closely collaborating classes, and be readable with short, clearly named methods that clearly indicate what is being tested and the expected result. Tests should follow guidelines like having a single concept, being short and readable, testing behaviors rather than configurations, using a build-operate-check structure, and having one assertion per test.
This document discusses unit testing and mock frameworks. It defines common terms like unit test, fake, stub, and mock. It notes the strengths and weaknesses of unit testing, as well as best practices for writing good unit tests. It then introduces TypeMock as a mock framework that can fake static, sealed, or non-public elements to make unit testing code without changes to design. Research on TDD is cited that found those using TDD wrote more tests and were more productive.
Talk @Carmudi GmbH office on Unit testing basics and advanced concepts, like Arrange-Act-Assert rule, Unit Test anatomy, etc. In the end - a small overview of Test Driven Development.
Maybe developer testing is more trouble than it's worth. Teams have found writing tests to be a hinderance. Then they reduce testing in order to deliver "faster". They feel that tests actually make changing the code and fixing bugs harder. They might be right.
see also: https://www.linkedin.com/pulse/testing-cable-chain-mark-windholtz/
Testing As A Bottleneck - How Testing Slows Down Modern Development Processes...TEST Huddle
We often claim the purpose of testing is to verify that software meets a desired level of quality. Frequently, the term “testing” is associated with checking for functional correctness. However, in large, complex software systems with an established user-base, it is also important to verify system constraints such as backward compatibility, reliability, security, accessibility, usability. Kim Herzig from Microsoft explores these issues with the latest webinar on test Huddle.
This document discusses test-driven development (TDD), a software development technique where test cases are written before implementation code. TDD involves writing a failing test case, then code to pass the test, and refactoring code as needed. Key principles are writing tests first, running tests frequently, and making code changes in small iterative steps. TDD aims to increase code quality and reduce bugs by fully testing code in short cycles.
Why Automated Testing Matters To DevOpsdpaulmerrill
“Automated testing is a pain in my ear! Why can’t QA get it right? Why do the tests keep breaking? And for Pete’s sake, stop blaming the infrastructure!”
…Ok, maybe you chose a different word than “ear”.
How often do you have thoughts like this? Daily?
Let’s talk about these frustrations, why they exist and how we can use them to improve our systems!
In this talk, Paul Merrill, founder and Principal Automation Engineer at Beaufort Fairmont explores why automated testing matters to DevOps. Join us to learn how automated testing can be a useful tool in the creation and release of your systems!
This document discusses best practices for unit testing. It addresses common issues like tests that run slowly, are hard to understand, or test the same thing repeatedly. It provides solutions such as grouping test files by criteria and naming conventions to make tests self-documenting. It advises against over-complex mocks and duplicated logic in tests. Tests should be written clearly so others can easily understand what is being tested when debugging or refactoring code. The key messages are to keep tests focused on specific units, refactor tests that become confusing, and make tests self-explanatory through naming and comments.
AATs can be expensive and not valuable if not done right, and doing them right is not easy. They provide enormous benefit though, and are critical as software takes over the world and manual regression testing becomes infeasible. This goes through key benefits.
Agile Software Testing the Agilogy WayJordi Pradel
At Agilogy we have a curated way of testing software. In these slides we share basic Principles, Patterns and Strategies to test software in Hexagonal Architectures.
Defying the typical test pyramid, we focus our testing strategy on testing the whole domain. To do so, we avoid the abuse of mocks and stubs and, instead, we use hand-crafted test fakes that behave like their production counterparts. We make sure they actually do so by testing both the production driven adapters and their fakes with the very same test suite.
This document discusses automated testing, including unit testing. It provides an overview of the types of automated testing and why they are useful. Specifically, it notes that automated testing is needed to test complex applications, support frequent releases, and ensure the application is working after code changes. It also discusses unit testing in depth, including what constitutes a good unit test, test-driven development, and common unit testing frameworks and tools.
This document provides an overview of unit testing and guidelines for writing unit tests. It discusses why unit tests are important for catching errors, helping write code, speeding up development, and covering configurations and new team members' code. It defines what a unit test is and what they don't cover. Guidelines provided include automating tests, letting code just pass tests, testing boundaries and randomness, keeping tests at a unit level, and knowing passed tests don't guarantee correctness. It also mentions the XCTest framework and provides a tutorial project and instructions for writing sample unit tests for email and password validation.
Breaking Dependencies to Allow Unit Testing - DevIntersection Spring 2016Steven Smith
Unit testing software can be difficult, especially when the software wasn't designed to be testable. Dependencies on infrastructure concerns and software we don't control are one of the biggest contributors to testing difficulty. In this session, you'll learn the difference between unit tests and other kinds of tests, how to recognize and invert dependencies, and how to unit test your code's interactions with these dependencies without testing the infrastructure itself.
Database Unit Testing Made Easy with VSTSSanil Mhatre
This document discusses database unit testing using Visual Studio Team System (VSTS). It begins with an overview of software testing basics and unit testing principles. It then covers database unit testing terminology, principles of isolation and independence, and testable interfaces of stored procedures. The document outlines different levels of unit testing and factors to consider. It demonstrates implementing database unit testing in VSTS 2010 and new features in VSTS 2012. The goal is to show how VSTS can be used to test database code and improve quality.
This document discusses improving server-side unit testing methods. It identifies issues with current server unit tests such as dependencies between classes and lack of clear purpose or expectations. It recommends defining a "unit" as a single Java class and mocking dependencies. Tests should describe specifications, improve code quality, and reduce bugs. While DRY principles are best for production code, DAMP (Descriptive And Meaningful Phrases) is preferable for unit tests to prioritize readability over code duplication. Each test should focus on one thing, use plain language, and assert expected outcomes rather than null values.
This document discusses best practices for writing tests that serve developers well. It recommends writing tests that are reliable, document code clearly, and are maintainable over time. Specific tips include using consistent naming conventions, separating logical fragments, focusing tests on single behaviors, reusing test code, and removing tests only when functionality is removed to keep tests readable and helpful.
AMC Squarelearning Bangalore is the best training institute for a career development. it had students from various parts of the country and even few were from West African countries.
This presentation introduces black box testing, which examines software functionality without knowledge of internal structures. Black box testing can find incorrect, missing, or interface errors, as well as errors in data access or behavior. Examples of systems suitable for black box testing include calculators, operating systems, websites, and databases. The presentation discusses techniques for black box testing like equivalence partitioning, boundary value analysis, decision tables, state transition testing, and error guessing. Advantages are that testing can be done efficiently on large systems by non-technical testers, while disadvantages include difficulty designing test cases without specifications and identifying all possible inputs.
Unit testing involves testing individual units or components of an application to verify that each unit performs as expected. A unit test automates the invocation of a unit of work and checks the expected outcome without relying on other units. Good unit tests are automated, repeatable, easy to implement, run quickly and consistently, and isolate the unit from its dependencies. Integration testing differs in that it involves testing units using real dependencies rather than isolated fakes or stubs. Test-driven development involves writing tests before code so that tests fail initially and then pass after the code is implemented. Unit testing frameworks like NUnit provide attributes to mark tests, expected exceptions, setup and teardown methods, and assertions to validate outcomes.
This document discusses definitions, principles, and best practices of test-driven development (TDD). It defines different types of TDD like test-oriented development, test-driven design, acceptance TDD, and developer TDD. The key principles of TDD discussed are red-green-refactor cycles, writing tests before code, and values like improved design, code quality, and maintenance. Guidelines around trustworthy, maintainable and readable unit tests are also provided.
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
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Maybe developer testing is more trouble than it's worth. Teams have found writing tests to be a hinderance. Then they reduce testing in order to deliver "faster". They feel that tests actually make changing the code and fixing bugs harder. They might be right.
see also: https://www.linkedin.com/pulse/testing-cable-chain-mark-windholtz/
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We often claim the purpose of testing is to verify that software meets a desired level of quality. Frequently, the term “testing” is associated with checking for functional correctness. However, in large, complex software systems with an established user-base, it is also important to verify system constraints such as backward compatibility, reliability, security, accessibility, usability. Kim Herzig from Microsoft explores these issues with the latest webinar on test Huddle.
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Why Automated Testing Matters To DevOpsdpaulmerrill
“Automated testing is a pain in my ear! Why can’t QA get it right? Why do the tests keep breaking? And for Pete’s sake, stop blaming the infrastructure!”
…Ok, maybe you chose a different word than “ear”.
How often do you have thoughts like this? Daily?
Let’s talk about these frustrations, why they exist and how we can use them to improve our systems!
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This document discusses best practices for unit testing. It addresses common issues like tests that run slowly, are hard to understand, or test the same thing repeatedly. It provides solutions such as grouping test files by criteria and naming conventions to make tests self-documenting. It advises against over-complex mocks and duplicated logic in tests. Tests should be written clearly so others can easily understand what is being tested when debugging or refactoring code. The key messages are to keep tests focused on specific units, refactor tests that become confusing, and make tests self-explanatory through naming and comments.
AATs can be expensive and not valuable if not done right, and doing them right is not easy. They provide enormous benefit though, and are critical as software takes over the world and manual regression testing becomes infeasible. This goes through key benefits.
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At Agilogy we have a curated way of testing software. In these slides we share basic Principles, Patterns and Strategies to test software in Hexagonal Architectures.
Defying the typical test pyramid, we focus our testing strategy on testing the whole domain. To do so, we avoid the abuse of mocks and stubs and, instead, we use hand-crafted test fakes that behave like their production counterparts. We make sure they actually do so by testing both the production driven adapters and their fakes with the very same test suite.
This document discusses automated testing, including unit testing. It provides an overview of the types of automated testing and why they are useful. Specifically, it notes that automated testing is needed to test complex applications, support frequent releases, and ensure the application is working after code changes. It also discusses unit testing in depth, including what constitutes a good unit test, test-driven development, and common unit testing frameworks and tools.
This document provides an overview of unit testing and guidelines for writing unit tests. It discusses why unit tests are important for catching errors, helping write code, speeding up development, and covering configurations and new team members' code. It defines what a unit test is and what they don't cover. Guidelines provided include automating tests, letting code just pass tests, testing boundaries and randomness, keeping tests at a unit level, and knowing passed tests don't guarantee correctness. It also mentions the XCTest framework and provides a tutorial project and instructions for writing sample unit tests for email and password validation.
Breaking Dependencies to Allow Unit Testing - DevIntersection Spring 2016Steven Smith
Unit testing software can be difficult, especially when the software wasn't designed to be testable. Dependencies on infrastructure concerns and software we don't control are one of the biggest contributors to testing difficulty. In this session, you'll learn the difference between unit tests and other kinds of tests, how to recognize and invert dependencies, and how to unit test your code's interactions with these dependencies without testing the infrastructure itself.
Database Unit Testing Made Easy with VSTSSanil Mhatre
This document discusses database unit testing using Visual Studio Team System (VSTS). It begins with an overview of software testing basics and unit testing principles. It then covers database unit testing terminology, principles of isolation and independence, and testable interfaces of stored procedures. The document outlines different levels of unit testing and factors to consider. It demonstrates implementing database unit testing in VSTS 2010 and new features in VSTS 2012. The goal is to show how VSTS can be used to test database code and improve quality.
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This document discusses best practices for writing tests that serve developers well. It recommends writing tests that are reliable, document code clearly, and are maintainable over time. Specific tips include using consistent naming conventions, separating logical fragments, focusing tests on single behaviors, reusing test code, and removing tests only when functionality is removed to keep tests readable and helpful.
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Unit testing involves testing individual units or components of an application to verify that each unit performs as expected. A unit test automates the invocation of a unit of work and checks the expected outcome without relying on other units. Good unit tests are automated, repeatable, easy to implement, run quickly and consistently, and isolate the unit from its dependencies. Integration testing differs in that it involves testing units using real dependencies rather than isolated fakes or stubs. Test-driven development involves writing tests before code so that tests fail initially and then pass after the code is implemented. Unit testing frameworks like NUnit provide attributes to mark tests, expected exceptions, setup and teardown methods, and assertions to validate outcomes.
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Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
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Reading Notes of The Art Of Unit Test Ch7
1. THE ART OF UNIT
TESTING –
TRUSTWORTHY TEST
READING NOTES BY BENJAMIN FAN
2. AGENDA
• What makes unit tests good
• Untrustworthy failing tests
• Untrustworthy passing tests
• Dealing with flaky test
3. WHAT MAKES UNIT TESTS GOOD
• Trustworthiness
• The test fails and you’re genuinely worried that something broke.
• The test passes and you feel relaxed.
• Maintainability
• Readability
• Without readability, the other two pillars fall pretty quickly.
4. UNTRUSTWORTHY FAILINGTESTS
• A real bug not been covered in tests -> you can only trust this kind of fail
• A buggy test gives a false failure
• The test is out of date due to a change in functionality -> will dig in deeper in next
chapter
• The test conflicts with another test
• The test is flaky
5. HOW BUGGYTEST HAPPENED
• Logic in unit test
• switch, if, or else statements
• foreach, for, or while loops
• Concatenations (+ sign, etc.)
• try, catch
• The best way to avoid buggy test is to adoptTest-driven development (TDD).
9. UNTRUSTWORTHY PASSING TESTS
• The test contains no asserts -> may has hidden asserts
• Can’t (Hard to) understand the test -> Readability
• Unit tests are mixed with flaky integration tests
• keeping your integration and unit tests in separate places
• The test verifies multiple concerns or exit points
• The test keeps changing
• random numbers, dynamically generated values
10. UNTRUSTWORTHY PASSING TESTS
• Can’t (Hard to) understand the test
• Tests with bad names
• Tests that are too long or have convoluted code
• Tests containing confusing variable names
• Tests containing hidden logic or assumptions that cannot be understood easily
• Test results that are inconclusive (neither failed nor passed)
• Test messages that don’t provide enough information
11. THE TESTVERIFIES MULTIPLE CONCERNS OR EXIT
POINTS
• A sample function to test
• Checking two exit points in the same
test
12. DEALINGWITH FLAKY TEST
Unit tests Component
tests
Integration
tests
API tests E2E/UI
isolated tests
E2E/UI
system tests
Flakiness caused by
• Shared memory resources
• Threads
• Random values
• Dynamically generated
inputs/outputs
• Time
• Logic bugs
Flakiness also caused by
• Shared resources
• Network issues
• Configuration issues
• Permission issues
• Load issues
• Security issues
• Other systems are down
• And more...
13. TAKE AWAY
• Trustworthy matter especially in test.
• Avoid complexity in tests, such as creating dynamic expected values or duplicating logic
from the underlying production code.
• If a test doesn’t have any asserts, you can’t understand what's it’s doing.
• To better identify flaky tests, put them in a special category or folder that can be run
separately.
• To reduce test flakiness, either fix the tests, convert flaky higher-level tests into less flaky
lower-level ones, or delete them.