Components integration-effect graph: a black box testing and test case generation technique for component-based software

Umesh Kumar Tiwari () and Santosh Kumar ()
Additional contact information
Umesh Kumar Tiwari: Graphic Era University
Santosh Kumar: Graphic Era University

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 2, No 15, 393-407

Abstract: Abstract Testing plays a vital role in the evolution and establishment of any quality product as well as any quality system. Testing is essential to prove the correctness (valid output when input is valid, and proper handling techniques when input is invalid) of the system and it is crucial to prove the compatibility of the system with the operating environment. In component-based software systems, various components interact with each other to access as well as provide required functionalities. In such complex systems testing is one of the most important activities. Since component-based software engineering relies on the concept of “use of pre-built and pre-tested components”, our focus here, is on functional testing rather than structural testing. Functional testing emphasizes the behavioural attributes of the components when they interact with each other. Components interact through operands and parameters. In this paper we suggest functional testing strategy and test case generation technique for component-based software. When two components are integrated then they generate some specific effect. This strategy is named Integration-effect graph. This strategy is a black-box technique as it covers the input and output domains only. We have used the graph theory notations to show the integration and interaction among the components.

Keywords: Black box; Component; Component-based software; Correctness; Functional testing; Pre-built; Pre-tested; Structural testing (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-016-0442-2 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:8:y:2017:i:2:d:10.1007_s13198-016-0442-2

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

DOI: 10.1007/s13198-016-0442-2

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 ().