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Software Change Impact Analysis: An Approach to Compute and Prioritize Impacted Functions in Software Systems

Software Change Impact Analysis: An Approach to Compute and Prioritize Impacted Functions in Software Systems

Chetna Gupta, Varun Gupta
Copyright: © 2015 |Volume: 5 |Issue: 2 |Pages: 12
ISSN: 1947-3052|EISSN: 1947-3060|EISBN13: 9781466678521|DOI: 10.4018/IJSSOE.2015040103
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MLA

Gupta, Chetna, and Varun Gupta. "Software Change Impact Analysis: An Approach to Compute and Prioritize Impacted Functions in Software Systems." IJSSOE vol.5, no.2 2015: pp.44-55. http://doi.org/10.4018/IJSSOE.2015040103

APA

Gupta, C. & Gupta, V. (2015). Software Change Impact Analysis: An Approach to Compute and Prioritize Impacted Functions in Software Systems. International Journal of Systems and Service-Oriented Engineering (IJSSOE), 5(2), 44-55. http://doi.org/10.4018/IJSSOE.2015040103

Chicago

Gupta, Chetna, and Varun Gupta. "Software Change Impact Analysis: An Approach to Compute and Prioritize Impacted Functions in Software Systems," International Journal of Systems and Service-Oriented Engineering (IJSSOE) 5, no.2: 44-55. http://doi.org/10.4018/IJSSOE.2015040103

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Abstract

This paper presents an approach to prioritize program segments within the impact set computed using functional call graph to assist regression testing for test case prioritization. The presented technique will first categorize the type of impact propagation and then prioritize the impacted segments into higher and lower levels based on propagation categorization. This will help in saving maintenance cost and effort by allocating higher priority to those segments which are impacted more within the impacted set. Thus a software engineer can first run those test cases which cover segments with higher impacted priority to minimize regression test selection.

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