Open monperrus opened 6 years ago
Interesting tool. Detailed failure reports and hassle free assertions Scott test reporter https://github.com/dodie/scott
From @AG00:
There is a relationship between desired properties (requirements), tests (verification) and test results. Those may be present in a hierarchy of components/subsystems/libraries. In addition, there is a relationship between planning activities on the system (product) being developed and its desired properties. Further, with time there will be more than one system/product configuration to consider and more than one version in use with different installations/deployments/customers. These relationships quickly becomes complex to understand and keep track of. As changes are being made (code or documents) and automatic tests are run, it would be good to have the information model changes generated rather than manually written. The information model can also be used to convince a customer (or the devops team itself) that a complex/high-level system property is achieved.
Testcontainers to test different environments on the developer's machine https://www.testcontainers.org/
A post about the challenges to get global metrics for code coverage https://massol.myxwiki.org/xwiki/bin/view/Blog/GlobalLocalCoverage
Security-based testing https://www.inspec.io/
DeFlaker: Automatically Detecting Flaky Tests https://www.jonbell.net/icse18-deflaker.pdf
Property-based testing in Java https://github.com/quicktheories/QuickTheories
Cross Browser Testing, Selenium Testing, and Mobile Testing https://saucelabs.com/
Perfecto - Cloud-based Devops Testing https://www.perfecto.io/
Automated Tool for Prioritizing JUnit Test Suites https://github.com/kanonizo/kanonizo
mutation testing https://github.com/hcoles/pitest
automatic unit test amplification https://github.com/STAMP-project/dspot https://arxiv.org/pdf/1811.08330.pdf
automatic detection of pseudo-tested methods https://github.com/STAMP-project/pitest-descartes https://arxiv.org/pdf/1807.05030.pdf
mutation testing in JS https://stryker-mutator.io/
Property-based testing in OCaml https://github.com/c-cube/qcheck
@robertfeldt you may want to subscribe to this issue.
Chris Parnin's Lecture on software bots https://docs.google.com/presentation/d/1JClXhqNX8ufzmxoDpVPCLRDlqu4tUkvbJgwYICw70kM/edit?usp=sharing
Testing of Microservices
https://labs.spotify.com/2018/01/11/testing-of-microservices/
Amazon codeguru It’s like having a distinguished engineer on call, 24x7 https://aws.amazon.com/codeguru/
Postman/Newman https://www.getpostman.com/
New testing course from TU Delft https://sttp.site/
Rultor is a DevOps team assistant. It helps your programmers and release managers automate routine operations (merge, deploy and release), with an easy-to-use intuitive chatbot interface. https://github.com/yegor256/rultor
A series of recent posts about test and automation http://blog.testingcurator.com/2020/04/12/testing-bits-april-5th-april-11th-2020/
ScalaTest: https://github.com/scalatest/scalatest
Jasmine is a behavior-driven development framework for testing JavaScript code. https://jasmine.github.io/
Catch2: modern, C++-native, header-only, test framework for unit-tests, TDD and BDD - using C++ https://github.com/catchorg/Catch2
Commonly used test data https://github.com/search?p=2&q=dQw4w9WgXcQ&type=Code
Commercial product to accelerate tests with an automated dependency graph https://yourbase.io/
Automated Cucumber-JVM test pack for DECS built on the Serenity BDD framework https://github.com/UKHomeOffice/hocs-serenity-automation
Testing at Electronic Arts SUPERNOVA: Automating Test Selection and Defect Prevention in AAA Video Games Using Risk Based Testing and Machine Learning https://arxiv.org/pdf/2203.05566.pdf
Property-based testing in language X For example, in javascript https://marmelab.com/blog/2019/04/18/property-based-testing-js.html
An interesting essay / demo / tutorial topic: Automated migration of Junit4 to Junit5
Suggestion: Testing for GraphQL APIs and Engines.
An interesting and very original topic for a presentation / demo in software testing: code coverage in production
Topic suggestion: in depth analysis of a mocking library in language X (eg Mockito)
fuzz testing is an essential topic for testing and security
Robot Framework is a generic open source automation framework. It can be used for test automation and robotic process automation (RPA). https://robotframework.org/
Predictive Test Selection cuts testing time up to 70% by using machine learning to select and run only tests that are likely to provide useful feedback during test runs https://gradle.com/gradle-enterprise-solutions/predictive-test-selection/
Load-Test-As-Code. https://gatling.io/
Instancio is a Java library that automatically creates and populates objects for your unit tests. https://github.com/instancio/instancio
Mutagen and cargo-mutants are two relevant mutation testing tools for Rust.
Credits @VIGGEEN cc/ @ErikNatanael
following up on Jepsen JepREST: Functional tests for distributed REST applications.
A command-line benchmarking tool for rust https://github.com/sharkdp/hyperfine
BDD with Rust https://github.com/cucumber-rs/cucumber
A library for generating fake data in Rust. https://github.com/cksac/fake-rs
The art and craft of test-driven development (Increment, 2019)
Integrity Test Framework - a sophisticated integration test automation framework for Java https://github.com/integrity-tf/integrity
Newman is a command-line collection runner for Postman https://github.com/postmanlabs/newman
Framework for web testing, and capture&replay https://github.com/microsoft/playwright
Wikipedia references:
"Automated testing is the act of conducting specific tests via automation (e.g. a set of regression tests) as opposed to conducting them manually, while test automation refers to automating the process of tracking and managing the different tests." source