A framework to measure coupling using static change impact analysis

Subhrakanta Panda and Durga Prasad Mohapatra

International Journal of Business Information Systems, 2016, vol. 23, issue 3, 353-387

Abstract: Software defects can often be the result of many changes made to a software over a period. Incomplete or incorrect comprehension of the program segments affected by the changes may cost regression testing. Therefore, identification and testing of such program segments early in the testing phase can reveal more regression errors. Driven by this motivation, this paper uses a new slicing technique to identify the affected program parts through static change impact analysis. The probability of a program segment being erroneous is then shown by computing the coupling factor of the affected program parts. We propose a novel static approach to calculating the coupling factor of these affected program segments to predict the erroneous parts. The theoretical validation and comparative analysis shows the correctness and preciseness of the approach.

Keywords: hierarchical slicing; intermediate graphs; dependences; export coupling; software defects; software testing; static change impact analysis. (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=79526 (text/html)
Access to full text is restricted to subscribers.

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:ids:ijbisy:v:23:y:2016:i:3:p:353-387

Access Statistics for this article

More articles in International Journal of Business Information Systems from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().