[PDF][PDF] Performance analysis of machine learning techniques on software defect prediction using NASA datasets

A Iqbal, S Aftab, U Ali, Z Nawaz, L Sana… - … Journal of Advanced …, 2019 - researchgate.net
Defect prediction at early stages of software development life cycle is a crucial activity of
quality assurance process and has been broadly studied in the last two decades. The early …

[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 …

[PDF][PDF] A systematic literature review of software defect prediction

RS Wahono - Journal of software engineering, 2015 - romisatriawahono.net
Recent studies of software defect prediction typically produce datasets, methods and
frameworks which allow software engineers to focus on development activities in terms of …

[HTML][HTML] 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 …

[HTML][HTML] Software defect prediction techniques using metrics based on neural network classifier

R Jayanthi, L Florence - Cluster Computing, 2019 - Springer
Software industries strive for software quality improvement by consistent bug prediction, bug
removal and prediction of fault-prone module. This area has attracted researchers due to its …

A comparison framework of classification models for software defect prediction

RS Wahono, NS Herman… - Advanced Science Letters, 2014 - ingentaconnect.com
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 …

[PDF][PDF] Software defect prediction using ensemble learning: an ANP based evaluation method

AO Balogun, AO Bajeh, VA Orie… - FUOYE J. Eng …, 2018 - academia.edu
Software defect prediction (SDP) is the process of predicting defects in software modules, it
identifies the modules that are defective and require extensive testing. Classification …

[HTML][HTML] Deep neural network based hybrid approach for software defect prediction using software metrics

C Manjula, L Florence - Cluster Computing, 2019 - Springer
In the field of early prediction of software defects, various techniques have been developed
such as data mining techniques, machine learning techniques. Still early prediction of …

[HTML][HTML] Effective software defect prediction using support vector machines (SVMs)

S Goyal - International Journal of System Assurance Engineering …, 2022 - Springer
Software defect prediction (SDP) plays a key role in the timely delivery of good quality
software product. In the early development phases, it predicts the error-prone modules …

[PDF][PDF] Software defect prediction using variant based ensemble learning and feature selection techniques.

U Ali, S Aftab, A Iqbal, Z Nawaz, MS Bashir… - International Journal of …, 2020 - mecs-press.org
Testing is considered as one of the expensive activities in software development process.
Fixing the defects during testing process can increase the cost as well as the completion …