A probabilistic approach to building defect prediction model for platform-based product lines
Joint Authors
Jeon, Changkyun
Kim, Neunghoe
In, Hoh Peter
Source
The International Arab Journal of Information Technology
Issue
Vol. 14, Issue 4 (31 Jul. 2017)10 p.
Publisher
Publication Date
2017-07-31
Country of Publication
Jordan
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Determining when software testing should be begun and the resources that may be required to find and fix defects is complicated.
Being able to predict the number of defects for an upcoming software product given the current development team enables the project managers to make better decisions.
A majority of reported defects are managed and tracked using a repository system, which tracks a defect throughout its lifetime.
The defect life cycle (DLC) begins when a defect is found and ends when the resolution is verified and the defect is closed.
Defects transition through different states according to the evolution of the project, which involves testing, debugging, and verification.
All of these defect transitions should be logged using the defect tracking systems (DTS).
We construct a Markov chain theory-based defect prediction model for consecutive software products using defect transition history.
During model construction, the state of each defect is modelled using the DLC states.
The proposed model can predict the defect trends such as total number of defects and defect distribution states in the consecutive products.
The model is evaluated using an actual industrial mobile product software project and found to be well suited for the selected domain.
American Psychological Association (APA)
Jeon, Changkyun& Kim, Neunghoe& In, Hoh Peter. 2017. A probabilistic approach to building defect prediction model for platform-based product lines. The International Arab Journal of Information Technology،Vol. 14, no. 4.
https://search.emarefa.net/detail/BIM-902696
Modern Language Association (MLA)
Jeon, Changkyun…[et al.]. A probabilistic approach to building defect prediction model for platform-based product lines. The International Arab Journal of Information Technology Vol. 14, no. 4 (Jul. 2017).
https://search.emarefa.net/detail/BIM-902696
American Medical Association (AMA)
Jeon, Changkyun& Kim, Neunghoe& In, Hoh Peter. A probabilistic approach to building defect prediction model for platform-based product lines. The International Arab Journal of Information Technology. 2017. Vol. 14, no. 4.
https://search.emarefa.net/detail/BIM-902696
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-902696