Towards predicting software defects with clustering techniques

W Almayyan - International Journal of Artificial Intelligence and …, 2021 - papers.ssrn.com
The purpose of software defect prediction is to improve the quality of a software project by
building a predictive model to decide whether a software module is or is not fault prone. In …

Impact of feature selection on classification via clustering techniques in software defect prediction

FE Usman-Hamza, AF Atte, AO Balogun… - Journal of Computer …, 2019 - ajol.info
Software testing using software defect prediction aims to detect as many defects as possible
in software before the software release. This plays an important role in ensuring quality and …

Performance analysis of selected clustering techniques for software defects prediction

A Balogun, R Oladele, H Mojeed, B Amin-Balogun… - 2019 - uilspace.unilorin.edu.ng
Classification algorithms that help to predict software defects play a major role in the
software engineering process. This study investigated the application and performance of …

Feature selection and software defect prediction by different ensemble classifiers

N Shakhovska, V Yakovyna - … , DEXA 2021, Virtual Event, September 27 …, 2021 - Springer
Software defect prediction can improve its quality and is actively studied during the last
decade. This paper focuses on the improvement of software defect prediction accuracy by …

[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 …

Software defect prediction using supervised learning algorithm and unsupervised learning algorithm

A Chug, S Dhall - 2013 - IET
Software defect prediction has recently attracted attention of many software quality
researchers. One of the major areas in current project management software is to effectively …

Software defect prediction using metaheuristic algorithms and classification techniques

M Raheem, A Ameen, F Ayinla… - Ilorin Journal of Computer …, 2020 - iljcsit.com.ng
From the start of software development, Software Defect Prediction (SDP) is a significant and
emerging challenge in the field of software engineering. Without an accurate model for …

A novel software defect prediction model using two-phase grey wolf optimisation for feature selection

R Malhotra, K Khan - Cluster Computing, 2024 - Springer
The process of accurately predicting software defects is highly crucial during the early period
of software development before testing activities begin. A variety of computational methods …

[PDF][PDF] A Framework for Software Defect Prediction Using Feature Selection and Ensemble Learning Techniques.

F Matloob, S Aftab, A Iqbal - International Journal of Modern …, 2019 - researchgate.net
Testing is one of the crucial activities of software development life cycle which ensures the
delivery of high quality product. As software testing consumes significant amount of …

A software defect prediction method using binary gray wolf optimizer and machine learning algorithms

H Wang, B Arasteh, K Arasteh… - Computers and …, 2024 - Elsevier
Context Software defect prediction means finding defect-prone modules before the testing
process which will reduce testing cost and time. Machine learning methods can provide …