Predictive models in software engineering: Challenges and opportunities
Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …
areas of software engineering. There have been a large number of primary studies that …
A survey of flaky tests
O Parry, GM Kapfhammer, M Hilton… - ACM Transactions on …, 2021 - dl.acm.org
Tests that fail inconsistently, without changes to the code under test, are described as flaky.
Flaky tests do not give a clear indication of the presence of software bugs and thus limit the …
Flaky tests do not give a clear indication of the presence of software bugs and thus limit the …
State of practical applicability of regression testing research: A live systematic literature review
Context: Software regression testing refers to rerunning test cases after the system under
test is modified, ascertaining that the changes have not (re-) introduced failures. Not all …
test is modified, ascertaining that the changes have not (re-) introduced failures. Not all …
What it would take to use mutation testing in industry—a study at facebook
Traditionally, mutation testing generates an abundance of small deviations of a program,
called mutants. At industrial systems the scale and size of Facebook's, doing this is …
called mutants. At industrial systems the scale and size of Facebook's, doing this is …
Scalable and accurate test case prioritization in continuous integration contexts
Continuous Integration (CI) requires efficient regression testing to ensure software quality
without significantly delaying its CI builds. This warrants the need for techniques to reduce …
without significantly delaying its CI builds. This warrants the need for techniques to reduce …
Empirically evaluating flaky test detection techniques combining test case rerunning and machine learning models
O Parry, GM Kapfhammer, M Hilton… - Empirical Software …, 2023 - Springer
A flaky test is a test case whose outcome changes without modification to the code of the test
case or the program under test. These tests disrupt continuous integration, cause a loss of …
case or the program under test. These tests disrupt continuous integration, cause a loss of …
Deeporder: Deep learning for test case prioritization in continuous integration testing
Continuous integration testing is an important step in the modern software engineering life
cycle. Test prioritization is a method that can improve the efficiency of continuous integration …
cycle. Test prioritization is a method that can improve the efficiency of continuous integration …
Empirically evaluating readily available information for regression test optimization in continuous integration
Regression test selection (RTS) and prioritization (RTP) techniques aim to reduce testing
efforts and developer feedback time after a change to the code base. Using various …
efforts and developer feedback time after a change to the code base. Using various …
Which builds are really safe to skip? Maximizing failure observation for build selection in continuous integration
Continuous integration (CI) is a widely used practice in modern software engineering.
Unfortunately, it is also an expensive practice. Google and Mozilla estimate their expenses …
Unfortunately, it is also an expensive practice. Google and Mozilla estimate their expenses …
HybridCISave: A Combined Build and Test Selection Approach in Continuous Integration
Continuous Integration (CI) is a popular practice in modern software engineering.
Unfortunately, it is also a high-cost practice—Google and Mozilla estimate their CI systems …
Unfortunately, it is also a high-cost practice—Google and Mozilla estimate their CI systems …