Analysis of feature selection methods in software defect prediction models

M Ali, T Mazhar, T Shahzad, YY Ghadi… - IEEE …, 2023 - ieeexplore.ieee.org
Improving software quality by proactively detecting potential defects during development is a
major goal of software engineering. Software defect prediction plays a central role in …

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 …

Software defect prediction: an ML approach-based comprehensive study

K Anand, AK Jena - … , Software and Networks: Proceedings of INDIA 2022, 2022 - Springer
Software testing is a vital phase in the software development life cycle. Testing validates a
developed software against the input test cases by identifying the defects present in the …

Multiple feature selection frameworks based on evolutionary computing and ensemble learning for software defect prediction

R Malhotra, A Budhiraja, AK Singh… - … and Networks (CINE …, 2022 - ieeexplore.ieee.org
Software defects may cause severe crashes in the system, leading to the software's high
maintenance costs. Early identification of these defects would lead to high-quality software …

Performance Analysis of Feature Selection Techniques in Software Defect Prediction using Machine Learning

K Anand, AK Jena, T Choudhary - … International Conference on …, 2022 - ieeexplore.ieee.org
Software Testing is an essential activity in the development process of a software product. A
defect-free software is the need of the hour. Identifying the defects as early as possible is …

MCDM-EFS: A novel ensemble feature selection method for software defect prediction using multi-criteria decision making

K Kaur, A Kumar - Intelligent Decision Technologies, 2023 - content.iospress.com
Software defect prediction models are used for predicting high risk software components.
Feature selection has significant impact on the prediction performance of the software defect …

A framework for software defect prediction and metric selection

S Huda, S Alyahya, MM Ali, S Ahmad, J Abawajy… - IEEE …, 2017 - ieeexplore.ieee.org
Automated software defect prediction is an important and fundamental activity in the domain
of software development. However, modern software systems are inherently large and …

Impact of feature selection methods on the predictive performance of software defect prediction models: an extensive empirical study

AO Balogun, S Basri, S Mahamad, SJ Abdulkadir… - Symmetry, 2020 - mdpi.com
Feature selection (FS) is a feasible solution for mitigating high dimensionality problem, and
many FS methods have been proposed in the context of software defect prediction (SDP) …

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 …

[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 …