Interpretability application of the Just-in-Time software defect prediction model
Software defect prediction is one of the most active fields in software engineering. Recently,
some experts have proposed the Just-in-time Defect Prediction Technology. Just-in-time …
some experts have proposed the Just-in-time Defect Prediction Technology. Just-in-time …
Empirical investigation of hyperparameter optimization for software defect count prediction
M Nevendra, P Singh - Expert Systems with Applications, 2022 - Elsevier
Prior identification of defects in software modules can help testers to allocate limited
resources efficiently. Defect prediction techniques are helpful for this situation because they …
resources efficiently. Defect prediction techniques are helpful for this situation because they …
A machine and deep learning analysis among SonarQube rules, product, and process metrics for fault prediction
F Lomio, S Moreschini, V Lenarduzzi - Empirical Software Engineering, 2022 - Springer
Background Developers spend more time fixing bugs refactoring the code to increase the
maintainability than developing new features. Researchers investigated the code quality …
maintainability than developing new features. Researchers investigated the code quality …
Leveraging developer information for efficient effort-aware bug prediction
Context: Software bug prediction techniques can provide informative guidance in software
engineering practices. Over the past 15 years, developer information has been intensively …
engineering practices. Over the past 15 years, developer information has been intensively …
Evaluating network embedding techniques' performances in software bug prediction
Software bug prediction techniques can be very helpful in testing and code inspection. Over
the past decade, network measures have been successfully used in bug prediction …
the past decade, network measures have been successfully used in bug prediction …
Enhancing data pipelines for forecasting student performance: integrating feature selection with cross-validation
R Bertolini, SJ Finch, RH Nehm - International Journal of Educational …, 2021 - Springer
Educators seek to harness knowledge from educational corpora to improve student
performance outcomes. Although prior studies have compared the efficacy of data mining …
performance outcomes. Although prior studies have compared the efficacy of data mining …
Feature sets in just-in-time defect prediction: an empirical evaluation
P Bludau, A Pretschner - … of the 18th International Conference on …, 2022 - dl.acm.org
Just-in-time defect prediction assigns a defect risk to each new change to a software
repository in order to prioritize review and testing efforts. Over the last decades different …
repository in order to prioritize review and testing efforts. Over the last decades different …
Flake aware culprit finding
When a change introduces a bug into a large software repository, there is often a delay
between when the change is committed and when bug is detected. This is true even when …
between when the change is committed and when bug is detected. This is true even when …
The impact of feature selection on predicting the number of bugs
Bug prediction is the process of training a machine learning model on software metrics and
fault information to predict bugs in software entities. While feature selection is an important …
fault information to predict bugs in software entities. While feature selection is an important …
Just-in-time defect prediction technology based on interpretability technology
In recent years, in the field of software defect prediction, researchers have proposed the Just-
in-Time defect prediction technology, which can predict whether there are defects in each …
in-Time defect prediction technology, which can predict whether there are defects in each …