Research on regression test method based on multiple UML graphic models. (4th June 2020)
- Record Type:
- Journal Article
- Title:
- Research on regression test method based on multiple UML graphic models. (4th June 2020)
- Main Title:
- Research on regression test method based on multiple UML graphic models
- Authors:
- Qu, Mingcheng
Wu, Xianghu
Tao, Yongchao
Wang, Guannan
Dong, Ziyu - Abstract:
- Most of the existing graph-based regression testing schemes aim at a given Unified Modelling Language (UML) graph and are not flexible in regression testing. This paper proposes a method of a universal UML for a variety of graphical model modifications, and obtains a UML graphics module structure modified regression testing must be retested, determined by the domain of influence analysis on the effect of UML modification on the graphical model test case generated range analysis, finally re-auto generate test cases. This method has been proved to have a high logical coverage rate. In order to fully consider all kinds of dependencies, it cannot limit the type modification of UML graphics, and has higher openness and comprehensiveness.
- Is Part Of:
- International journal of grid and utility computing. Volume 11:Number 4(2020)
- Journal:
- International journal of grid and utility computing
- Issue:
- Volume 11:Number 4(2020)
- Issue Display:
- Volume 11, Issue 4 (2020)
- Year:
- 2020
- Volume:
- 11
- Issue:
- 4
- Issue Sort Value:
- 2020-0011-0004-0000
- Page Start:
- 517
- Page End:
- 524
- Publication Date:
- 2020-06-04
- Subjects:
- regression testing -- multiple UML graphical models -- domain analysis
Electronic data processing -- Distributed processing -- Periodicals
Electronic commerce -- Management -- Computer programs -- Periodicals
004.605 - Journal URLs:
- http://www.inderscience.com/ ↗
http://www.inderscience.com/jhome.php?jcode=ijguc ↗ - Languages:
- English
- ISSNs:
- 1741-847X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 23507.xml