A hybrid approach based on k-nearest neighbors and decision tree for software fault prediction
Joint Authors
Chhabra, Jitender Kumar
Singh, Manpreet
Source
Issue
Vol. 50, Issue 2 A (30 Apr. 2023), pp.1-12, 12 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2023-04-30
Country of Publication
Kuwait
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
Software testing is a very important part of the software development life cycle to develop reliable and bug-free software but it consumes a lot of resources like development time, cost, and effort.
Researchers have developed many techniques to get prior knowledge of fault-prone modules so that testing time and cost can be reduced.
In this research article, a hybrid approach of distance-based pruned classification and regression tree (CART) and k- nearest neighbors is proposed to improve the performance of software fault prediction.
The proposed technique is tested on eleven medium to large scale software fault prediction datasets and performance is compared with decision tree classifier, SVM and its three variations, random forest, KNN, and classification and regression t ree.
Four performance metrics are used for comparison purposes that are accuracy, precision, recall, and f1-score.
Results show that our proposed approach gives better performance for accuracy, precision, and f1-score performance metrics.
The second experiment shows a significant amount of running time improvement over the standard k-nearest neighbor algorithm.
American Psychological Association (APA)
Singh, Manpreet& Chhabra, Jitender Kumar. 2023. A hybrid approach based on k-nearest neighbors and decision tree for software fault prediction. Kuwait Journal of Science،Vol. 50, no. 2 A, pp.1-12.
https://search.emarefa.net/detail/BIM-1501150
Modern Language Association (MLA)
Singh, Manpreet& Chhabra, Jitender Kumar. A hybrid approach based on k-nearest neighbors and decision tree for software fault prediction. Kuwait Journal of Science Vol. 50, no. 2 A (Apr. 2023), pp.1-12.
https://search.emarefa.net/detail/BIM-1501150
American Medical Association (AMA)
Singh, Manpreet& Chhabra, Jitender Kumar. A hybrid approach based on k-nearest neighbors and decision tree for software fault prediction. Kuwait Journal of Science. 2023. Vol. 50, no. 2 A, pp.1-12.
https://search.emarefa.net/detail/BIM-1501150
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 10-12
Record ID
BIM-1501150