Test case selection and prioritization using machine learning: a systematic literature review

R Pan, M Bagherzadeh, TA Ghaleb… - Empirical Software …, 2022 - Springer
Regression testing is an essential activity to assure that software code changes do not
adversely affect existing functionalities. With the wide adoption of Continuous Integration …

Cc2vec: Distributed representations of code changes

T Hoang, HJ Kang, D Lo, J Lawall - Proceedings of the ACM/IEEE 42nd …, 2020 - dl.acm.org
Existing work on software patches often use features specific to a single task. These works
often rely on manually identified features, and human effort is required to identify these …

[HTML][HTML] Towards effective assessment of steady state performance in Java software: are we there yet?

L Traini, V Cortellessa, D Di Pompeo… - Empirical Software …, 2023 - Springer
Microbenchmarking is a widely used form of performance testing in Java software. A
microbenchmark repeatedly executes a small chunk of code while collecting measurements …

How developers engage with static analysis tools in different contexts

C Vassallo, S Panichella, F Palomba, S Proksch… - Empirical Software …, 2020 - Springer
Automatic static analysis tools (ASATs) are instruments that support code quality
assessment by automatically detecting defects and design issues. Despite their popularity …

On the use of github actions in software development repositories

A Decan, T Mens, PR Mazrae… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
GitHub Actions was introduced in 2019 and constitutes an integrated alternative to CI/CD
services for GitHub repositories. The deep integration with GitHub allows repositories to …

Improving the prediction of continuous integration build failures using deep learning

I Saidani, A Ouni, MW Mkaouer - Automated Software Engineering, 2022 - Springer
Continuous Integration (CI) aims at supporting developers in integrating code changes
constantly and quickly through an automated build process. However, the build process is …

Bears: An extensible java bug benchmark for automatic program repair studies

F Madeiral, S Urli, M Maia… - 2019 IEEE 26th …, 2019 - ieeexplore.ieee.org
Benchmarks of bugs are essential to empirically evaluate automatic program repair tools. In
this paper, we present BEARS, a project for collecting and storing bugs into an extensible …

Travistorrent: Synthesizing travis ci and github for full-stack research on continuous integration

M Beller, G Gousios, A Zaidman - 2017 IEEE/ACM 14th …, 2017 - ieeexplore.ieee.org
Continuous Integration (CI) has become a best practice of modern software development.
Thanks in part to its tight integration with GitHub, Travis CI has emerged as arguably the …

Reinforcement learning for test case prioritization

M Bagherzadeh, N Kahani… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Continuous Integration (CI) significantly reduces integration problems, speeds up
development time, and shortens release time. However, it also introduces new challenges …

Not all bugs are the same: Understanding, characterizing, and classifying bug types

G Catolino, F Palomba, A Zaidman… - Journal of Systems and …, 2019 - Elsevier
Modern version control systems, eg, GitHub, include bug tracking mechanisms that
developers can use to highlight the presence of bugs. This is done by means of bug reports …