A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools
J Pachouly, S Ahirrao, K Kotecha… - … Applications of Artificial …, 2022 - Elsevier
Delivering high-quality software products is a challenging task. It needs proper coordination
from various teams in planning, execution, and testing. Many software products have high …
from various teams in planning, execution, and testing. Many software products have high …
[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 …
[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 …
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 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 …
[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 …
Empirical assessment of machine learning based software defect prediction techniques
VUB Challagulla, FB Bastani, IL Yen… - International Journal on …, 2008 - World Scientific
Automated reliability assessment is essential for systems that entail dynamic adaptation
based on runtime mission-specific requirements. One approach along this direction is to …
based on runtime mission-specific requirements. One approach along this direction is to …
Empirical study of software defect prediction: a systematic mapping
LH Son, N Pritam, M Khari, R Kumar, PTM Phuong… - Symmetry, 2019 - mdpi.com
Software defect prediction has been one of the key areas of exploration in the domain of
software quality. In this paper, we perform a systematic mapping to analyze all the software …
software quality. In this paper, we perform a systematic mapping to analyze all the software …
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 …
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 …