A systematic survey of just-in-time software defect prediction
Recent years have experienced sustained focus in research on software defect prediction
that aims to predict the likelihood of software defects. Moreover, with the increased interest …
that aims to predict the likelihood of software defects. Moreover, with the increased interest …
A survey of self-admitted technical debt
Technical Debt is a metaphor used to express sub-optimal source code implementations
that are introduced for short-term benefits that often need to be paid back later, at an …
that are introduced for short-term benefits that often need to be paid back later, at an …
Scancomplete: Large-scale scene completion and semantic segmentation for 3d scans
We introduce ScanComplete, a novel data-driven approach for taking an incomplete 3D
scan of a scene as input and predicting a complete 3D model along with per-voxel semantic …
scan of a scene as input and predicting a complete 3D model along with per-voxel semantic …
The best of both worlds: integrating semantic features with expert features for defect prediction and localization
To improve software quality, just-in-time defect prediction (JIT-DP)(identifying defect-
inducing commits) and just-in-time defect localization (JIT-DL)(identifying defect-inducing …
inducing commits) and just-in-time defect localization (JIT-DL)(identifying defect-inducing …
Defect prediction: Accomplishments and future challenges
As software systems play an increasingly important role in our lives, their complexity
continues to increase. The increased complexity of software systems makes the assurance …
continues to increase. The increased complexity of software systems makes the assurance …
Fast changeset-based bug localization with BERT
A Ciborowska, K Damevski - … of the 44th International Conference on …, 2022 - dl.acm.org
Automatically localizing software bugs to the changesets that induced them has the potential
to improve software developer efficiency and to positively affect software quality. To facilitate …
to improve software developer efficiency and to positively affect software quality. To facilitate …
Toward the automatic classification of self-affirmed refactoring
Abstract The concept of Self-Affirmed Refactoring (SAR) was introduced to explore how
developers document their refactoring activities in commit messages, ie, developers explicit …
developers document their refactoring activities in commit messages, ie, developers explicit …
Szz unleashed: an open implementation of the szz algorithm-featuring example usage in a study of just-in-time bug prediction for the jenkins project
M Borg, O Svensson, K Berg, D Hansson - Proceedings of the 3rd ACM …, 2019 - dl.acm.org
Machine learning applications in software engineering often rely on detailed information
about bugs. While issue trackers often contain information about when bugs were fixed …
about bugs. While issue trackers often contain information about when bugs were fixed …
Just-in-time defect identification and localization: A two-phase framework
Defect localization aims to locate buggy program elements (eg, buggy files, methods or lines
of code) based on defect symptoms, eg, bug reports or program spectrum. However, when …
of code) based on defect symptoms, eg, bug reports or program spectrum. However, when …
Class imbalance evolution and verification latency in just-in-time software defect prediction
Just-in-Time Software Defect Prediction (JIT-SDP) is an SDP approach that makes defect
predictions at the software change level. Most existing JIT-SDP work assumes that the …
predictions at the software change level. Most existing JIT-SDP work assumes that the …