A systematic review of machine learning techniques for software fault prediction
R Malhotra - Applied Soft Computing, 2015 - Elsevier
Background Software fault prediction is the process of developing models that can be used
by the software practitioners in the early phases of software development life cycle for …
by the software practitioners in the early phases of software development life cycle for …
Machine learning based methods for software fault prediction: A survey
SK Pandey, RB Mishra, AK Tripathi - Expert Systems with Applications, 2021 - Elsevier
Several prediction approaches are contained in the arena of software engineering such as
prediction of effort, security, quality, fault, cost, and re-usability. All these prediction …
prediction of effort, security, quality, fault, cost, and re-usability. All these prediction …
Survey on software defect prediction techniques
Recent advancements in technology have emerged the requirements of hardware and
software applications. Along with this technical growth, software industries also have faced …
software applications. Along with this technical growth, software industries also have faced …
A systematic literature review on fault prediction performance in software engineering
Background: The accurate prediction of where faults are likely to occur in code can help
direct test effort, reduce costs, and improve the quality of software. Objective: We investigate …
direct test effort, reduce costs, and improve the quality of software. Objective: We investigate …
Software defect prediction using ensemble learning on selected features
Context Several issues hinder software defect data including redundancy, correlation,
feature irrelevance and missing samples. It is also hard to ensure balanced distribution …
feature irrelevance and missing samples. It is also hard to ensure balanced distribution …
Towards identifying software project clusters with regard to defect prediction
M Jureczko, L Madeyski - … of the 6th international conference on …, 2010 - dl.acm.org
Background: This paper describes an analysis that was conducted on newly collected
repository with 92 versions of 38 proprietary, open-source and academic projects. A …
repository with 92 versions of 38 proprietary, open-source and academic projects. A …
An investigation on the feasibility of cross-project defect prediction
Software defect prediction helps to optimize testing resources allocation by identifying defect-
prone modules prior to testing. Most existing models build their prediction capability based …
prone modules prior to testing. Most existing models build their prediction capability based …
Predicting defect-prone software modules using support vector machines
Effective prediction of defect-prone software modules can enable software developers to
focus quality assurance activities and allocate effort and resources more efficiently. Support …
focus quality assurance activities and allocate effort and resources more efficiently. Support …
Software fault prediction: A literature review and current trends
C Catal - Expert systems with applications, 2011 - Elsevier
Software engineering discipline contains several prediction approaches such as test effort
prediction, correction cost prediction, fault prediction, reusability prediction, security …
prediction, correction cost prediction, fault prediction, reusability prediction, security …
Cost-sensitive boosting neural networks for software defect prediction
J Zheng - Expert Systems with Applications, 2010 - Elsevier
Software defect predictors which classify the software modules into defect-prone and not-
defect-prone classes are effective tools to maintain the high quality of software products. The …
defect-prone classes are effective tools to maintain the high quality of software products. The …