A ground-truth dataset and classification model for detecting bots in GitHub issue and PR comments

M Golzadeh, A Decan, D Legay, T Mens - Journal of Systems and Software, 2021 - Elsevier
Bots are frequently used in Github repositories to automate repetitive activities that are part
of the distributed software development process. They communicate with human actors …

Performance analysis of feature selection methods in software defect prediction: a search method approach

AO Balogun, S Basri, SJ Abdulkadir, AS Hashim - applied sciences, 2019 - mdpi.com
Software Defect Prediction (SDP) models are built using software metrics derived from
software systems. The quality of SDP models depends largely on the quality of software …

Value-cognitive boosting with a support vector machine for cross-project defect prediction

D Ryu, O Choi, J Baik - Empirical Software Engineering, 2016 - Springer
It is well-known that software defect prediction is one of the most important tasks for software
quality improvement. The use of defect predictors allows test engineers to focus on defective …

A transfer cost-sensitive boosting approach for cross-project defect prediction

D Ryu, JI Jang, J Baik - Software Quality Journal, 2017 - Springer
Software defect prediction has been regarded as one of the crucial tasks to improve software
quality by effectively allocating valuable resources to fault-prone modules. It is necessary to …

A hybrid instance selection using nearest-neighbor for cross-project defect prediction

D Ryu, JI Jang, J Baik - Journal of Computer Science and Technology, 2015 - Springer
Software defect prediction (SDP) is an active research field in software engineering to
identify defect-prone modules. Thanks to SDP, limited testing resources can be effectively …

Early prediction of merged code changes to prioritize reviewing tasks

Y Fan, X Xia, D Lo, S Li - Empirical Software Engineering, 2018 - Springer
Abstract Modern Code Review (MCR) has been widely used by open source and proprietary
software projects. Inspecting code changes consumes reviewers much time and effort since …

A decision tree logic based recommendation system to select software fault prediction techniques

SS Rathore, S Kumar - Computing, 2017 - Springer
Identifying a reliable fault prediction technique is the key requirement for building effective
fault prediction model. It has been found that the performance of fault prediction techniques …

Semi-supervised deep fuzzy C-mean clustering for imbalanced multi-class classification

A Arshad, S Riaz, L Jiao - IEEE Access, 2019 - ieeexplore.ieee.org
Semi-supervised learning has been successfully connected in the research fields of
machine learning such as data mining and dynamic data analysis. Imbalance class learning …

[PDF][PDF] Software defect prediction: analysis of class imbalance and performance stability

AO Balogun, S Basri, JA Said, VE Adeyemo, AA Imam… - 2019 - jestec.taylors.edu.my
The performance of prediction models in software defect prediction depends on the quality
of datasets used for training such models. Class imbalance is one of data quality problems …

Parameter tuning in KNN for software defect prediction: an empirical analysis

MA Mabayoje, AO Balogun, HA Jibril… - Jurnal Teknologi dan …, 2019 - jtsiskom.undip.ac.id
Abstract Software Defect Prediction (SDP) provides insights that can help software teams to
allocate their limited resources in developing software systems. It predicts likely defective …