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 …
such as data mining techniques, machine learning techniques. Still early prediction of …
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 …
removal and prediction of fault-prone module. This area has attracted researchers due to its …
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 …
made by developers get fixed at a later stage of the software development process. This …
Deep learning based software defect prediction
Software systems have become larger and more complex than ever. Such characteristics
make it very challengeable to prevent software defects. Therefore, automatically predicting …
make it very challengeable to prevent software defects. Therefore, automatically predicting …
[PDF][PDF] Performance analysis of machine learning techniques on software defect prediction using NASA datasets
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 …
quality assurance process and has been broadly studied in the last two decades. The early …
Software defect prediction analysis using machine learning techniques
There is always a desire for defect-free software in order to maintain software quality for
customer satisfaction and to save testing expenses. As a result, we examined various known …
customer satisfaction and to save testing expenses. As a result, we examined various known …
[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 …
frameworks which allow software engineers to focus on development activities in terms of …
[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 …
schedule that could be expected under diverse circumstances. Many software development …
Software defect prediction using artificial neural networks: A systematic literature review
The demand for automated online software systems is increasing day by day, which
triggered the need for high‐quality and maintainable softwares at lower cost. Software defect …
triggered the need for high‐quality and maintainable softwares at lower cost. Software defect …
Software defect prediction using ensemble learning: an ANP based evaluation method
AO Balogun, AO Bajeh, VA Orie, WA Yusuf-Asaju - 2018 - uilspace.unilorin.edu.ng
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 …
identifies the modules that are defective and require extensive testing. Classification …