Survey on software defect prediction techniques

MK Thota, FH Shajin, P Rajesh - International Journal of Applied …, 2020 - gigvvy.com
Recent advancements in technology have emerged the requirements of hardware and
software applications. Along with this technical growth, software industries also have faced …

[PDF][PDF] Survey on software defect prediction

J Nam - Department of Compter Science and Engineerning …, 2014 - Citeseer
Software defect prediction is one of the most active research areas in software engineering.
Defect prediction results provide the list of defect-prone source code artifacts so that quality …

[PDF][PDF] Software defect prediction models for quality improvement: a literature study

MS Rawat, SK Dubey - International Journal of Computer Science Issues …, 2012 - Citeseer
In spite of meticulous planning, well documentation and proper process control during
software development, occurrences of certain defects are inevitable. These software defects …

A study on software fault prediction techniques

SS Rathore, S Kumar - Artificial Intelligence Review, 2019 - Springer
Software fault prediction aims to identify fault-prone software modules by using some
underlying properties of the software project before the actual testing process begins. It …

[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 …

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 …

[PDF][PDF] Combining particle swarm optimization based feature selection and bagging technique for software defect prediction

RS Wahono, N Suryana - … Journal of Software Engineering and Its …, 2013 - academia.edu
The costs of finding and correcting software defects have been the most expensive activity in
software development. The accurate prediction of defect‐prone software modules can help …

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 …

Integrated approach to software defect prediction

EA Felix, SP Lee - IEEE Access, 2017 - ieeexplore.ieee.org
Software defect prediction provides actionable outputs to software teams while contributing
to industrial success. Empirical studies have been conducted on software defect prediction …