Evaluating different families of prediction methods for estimating software project outcomes

N Cerpa, M Bardeen, CA Astudillo, J Verner - … of Systems and Software, 2016 - Elsevier
… to the management of the software development process, in this … that describe open source
software project outcome, such as … Other types of metrics seek a balance between “hits” and …

[PDF][PDF] Machine Learning Models for Predicting Developer Productivity

A Samad - 2024 - researchgate.net
… field of software development, predicting developer productivity has … opensource projects,
enriched with developer activity logs, … transition and balance between automation and control. …

Cost‐Sensitive Radial Basis Function Neural Network Classifier for Software Defect Prediction

P Kumudha, R Venkatesan - The Scientific World Journal, 2016 - Wiley Online Library
… to defects, will enable software developers to achieve efficient … but can be tuned further to
produce high balance metrics. … on the adaptive dimensional BBO for software defect prediction. …

A machine learning approach to predict DevOps readiness and adaptation in a heterogeneous IT environment

G Sriraman - Frontiers in Computer Science, 2023 - frontiersin.org
software engineering and the complexity of the multiple factors involved in successful DevOps
implementation, we need to build a prediction … practices could be more balanced even in …

Prediction of software fault-prone classes using an unsupervised hybrid SOM algorithm

C Viji, N Rajkumar, S Duraisamy - Cluster computing, 2019 - Springer
… In software engineering fault proneness prediction is one of … the performance of open source
software are also estimated [23] in … The cut-off point was also selected such that a balance is …

Ensemble machine learning paradigms in software defect prediction

T Sharma, A Jatain, S Bhaskar, K Pabreja - Procedia Computer Science, 2023 - Elsevier
prediction performance. In this review paper, all ensemble-based machine learning techniques
developed for software defect prediction … It seeks to lower the software development cost …

Cross-project just-in-time bug prediction for mobile apps: An empirical assessment

G Catolino, D Di Nucci, F Ferrucci - … Software Engineering and …, 2019 - ieeexplore.ieee.org
… on six open source projects, showed good results in terms of … This might possibly lead to miss
the adaptation of some source … In addition, we ran the SMOTE algorithm [71] to balance the …

Performance evaluation of software defect prediction with NASA dataset using machine learning techniques

T Siddiqui, M Mustaqeem - International Journal of Information …, 2023 - Springer
… , including Random Forest, SVM, KNN, and LDA, on the balanced … for estimating the reliability
of Open Source Software (OSS), … and cross-project software development context, and this …

Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction

SC Rathi, S Misra, R Colomo-Palacios… - Expert Systems with …, 2023 - Elsevier
… selection techniques we balance the … on software metrics is covered in more detail in the
second section. This study aimed to identify the best set of metrics for software fault prediction. …

Predicting defectiveness of software patches

B Soltanifar, A Erdem, A Bener - … on Empirical Software Engineering and …, 2016 - dl.acm.org
techniques, we investigate which algorithm performs better to … dataset of an open source
software project 2, Mozilla Core. … , we have reported their geometric mean as balance, and the F-…