Improved prediction of software defects using ensemble machine learning techniques
S Mehta, KS Patnaik - Neural Computing and Applications, 2021 - Springer
Software testing process is a crucial part in software development. Generally the errors
made by developers get fixed at a later stage of the software development process. This …
made by developers get fixed at a later stage of the software development process. This …
A comparison framework of classification models for software defect prediction
Software defects are expensive in quality and cost. The accurate prediction of defect-prone
software modules can help direct test effort, reduce costs, and improve the quality of …
software modules can help direct test effort, reduce costs, and improve the quality of …
[PDF][PDF] Software defect prediction based on feature subset selection and ensemble classification
AA Saifan, L Abu-wardih - ECTI Transactions on Computer and …, 2020 - thaiscience.info
This research highlights a procedure which includes a feature selection technique to single
out relevant attributes, and an ensemble technique to handle the class-imbalance issue. In …
out relevant attributes, and an ensemble technique to handle the class-imbalance issue. In …
[PDF][PDF] Comparative analysis of selected heterogeneous classifiers for software defects prediction using filter-based feature selection methods
AG Akintola, AO Balogun… - FUOYE Journal of …, 2018 - researchgate.net
Classification techniques is a popular approach to predict software defects and it involves
categorizing modules, which is represented by a set of metrics or code attributes into fault …
categorizing modules, which is represented by a set of metrics or code attributes into fault …
[PDF][PDF] Software defect prediction using supervised machine learning techniques: A systematic literature review
Software defect prediction (SDP) is the process of detecting defectprone software modules
before the testing stage. The testing stage in the software development life cycle is …
before the testing stage. The testing stage in the software development life cycle is …
Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning
M Ali, T Mazhar, A Al-Rasheed, T Shahzad… - PeerJ Computer …, 2024 - peerj.com
Effective software defect prediction is a crucial aspect of software quality assurance,
enabling the identification of defective modules before the testing phase. This study aims to …
enabling the identification of defective modules before the testing phase. This study aims to …
Ensemble of software defect predictors: an AHP-based evaluation method
Classification algorithms that help to identify software defects or faults play a crucial role in
software risk management. Experimental results have shown that ensemble of classifiers are …
software risk management. Experimental results have shown that ensemble of classifiers are …
[HTML][HTML] Software defect prediction using supervised machine learning and ensemble techniques: a comparative study
A Alsaeedi, MZ Khan - Journal of Software Engineering and Applications, 2019 - scirp.org
An essential objective of software development is to locate and fix defects ahead of
schedule that could be expected under diverse circumstances. Many software development …
schedule that could be expected under diverse circumstances. Many software development …
A review on machine learning techniques for software defect prediction
F Hassan, S Farhan, MA Fahiem, H Tauseef - Technical Journal, 2018 - tj.uettaxila.edu.pk
Software defect prediction has been an interest of research era because predicting defects
on early stages improves software quality with reduced cost and effective software …
on early stages improves software quality with reduced cost and effective software …