Software change impact analysis: an approach to differentiate type of change to minimise regression test selection
by Chetna Gupta; Maneesha Srivastav; Varun Gupta
International Journal of Computer Applications in Technology (IJCAT), Vol. 51, No. 4, 2015

Abstract: Software evolution is a continuous process carried out with the aim of extending base applications either for adding new functionalities or for adapting software to the changing environment. This paper proposes a new approach of estimating impact analysis by allocating tokens to the changes encountered in the two versions of the software system. An algorithm is proposed for token allocation and for determining matches which take into account a minimum threshold value to predict the matched results. To establish confidence in effectiveness and efficiency, presented technique is illustrated with the help of an example and the results of analysis are promising towards achieving the aim of the proposed endeavour. Further, a performance-based comparison between existing techniques is also provided in support of this research. The impact set produced will be more precise than other techniques and this data can then be used by a software engineer in determining the changes made to the software system. Thus, the proposed technique can help software engineer to perform selective regression testing by optimising the number of test cases.

Online publication date: Wed, 08-Jul-2015

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