[HTML][HTML] Industrial applications of software defect prediction using machine learning: A business-driven systematic literature review
S Stradowski, L Madeyski - Information and Software Technology, 2023 - Elsevier
Context: Machine learning software defect prediction is a promising field of software
engineering, attracting a great deal of attention from the research community; however, its …
engineering, attracting a great deal of attention from the research community; however, its …
Machine learning in software defect prediction: A business-driven systematic mapping study
S Stradowski, L Madeyski - Information and Software Technology, 2023 - Elsevier
Context: Machine learning is a valuable tool in software engineering allowing fair defect
prediction capabilities at a relatively small expense. However, although the practical usage …
prediction capabilities at a relatively small expense. However, although the practical usage …
Progress on approaches to software defect prediction
Software defect prediction is one of the most popular research topics in software
engineering. It aims to predict defect‐prone software modules before defects are discovered …
engineering. It aims to predict defect‐prone software modules before defects are discovered …
Software defect-based prediction using logistic regression: Review and challenges
J Goyal, R Ranjan Sinha - Second International Conference on …, 2022 - Springer
Software analysis and prediction system development is the significant and much-needed
field of software testing in software engineering. The automatic software predictors analyze …
field of software testing in software engineering. The automatic software predictors analyze …
[HTML][HTML] Machine learning-based software defect prediction for mobile applications: A systematic literature review
Software defect prediction studies aim to predict defect-prone components before the testing
stage of the software development process. The main benefit of these prediction models is …
stage of the software development process. The main benefit of these prediction models is …
Predictive analytics and software defect severity: A systematic review and future directions
Software testing identifies defects in software products with varying multiplying effects based
on their severity levels and sequel to instant rectifications, hence the rate of a research study …
on their severity levels and sequel to instant rectifications, hence the rate of a research study …
The adoption of machine learning techniques for software defect prediction: An initial industrial validation
Existing methods for predicting reliability of software are static and need manual
maintenance to adjust to the evolving data sets in software organizations. Machine learning …
maintenance to adjust to the evolving data sets in software organizations. Machine learning …
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 …
Researcher bias: The use of machine learning in software defect prediction
Background. The ability to predict defect-prone software components would be valuable.
Consequently, there have been many empirical studies to evaluate the performance of …
Consequently, there have been many empirical studies to evaluate the performance of …
Software fault prediction using data mining, machine learning and deep learning techniques: A systematic literature review
Software fault/defect prediction assists software developers to identify faulty constructs, such
as modules or classes, early in the software development life cycle. There are data mining …
as modules or classes, early in the software development life cycle. There are data mining …