Automatic test case generation through collaboration diagram: a case study

Arvinder Kaur () and Vidhi Vig ()
Additional contact information
Arvinder Kaur: Guru Gobind Singh Indraprastha University
Vidhi Vig: Guru Gobind Singh Indraprastha University

International Journal of System Assurance Engineering and Management, 2018, vol. 9, issue 2, No 6, 362-376

Abstract: Abstract Testing process consists of designing set test cases which are efficient enough to identify the faults in the system. Automatic test case generation by UML diagrams helps to detect the faults in the system at an early stage, thereby, reducing the cost and the effort to rectify them. Collaboration diagrams represent a significant opportunity for testing because they precisely describe how the system interacts with its components. Moreover, they capture the dynamic behavior of the objects in the system unlike any other UML diagram. Hence, it can be used for efficient automatic test case generation. Still, there exists a limited research in this domain, thereby making it an apt choice for study. This paper presents an approach to generate test cases automatically from collaboration diagrams and validation of results using mutation testing. The study found that the proposed algorithm generates test cases automatically from collaboration diagrams ensuring adequate path coverage and avoiding infinite loops. The algorithm was further found to be highly efficient in identifying mutants in wide range of scenarios.

Keywords: Software engineering; Automatic test case generation; UML; Collaboration diagram; Mutation testing (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s13198-017-0675-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:9:y:2018:i:2:d:10.1007_s13198-017-0675-8

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-017-0675-8

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().