Abstract
It is very difficult for software organizations to fulfill users’ requirement, as they change frequently. It is an organization’s major responsibility to get rid of this change as soon as possible in order to compete in market. A brief analysis of these changes is very important before implementing in order to prove them profitable to the users. This work proposes a UML model-based approach using the use case and class diagrams for impact analysis and decision table that is applicable in early decision making and change planning. Later, by using the impact set we estimate the regression test effort required for the effected change in the software. The reduction in test effort observed ranges from 20 to 65 % saving significant software testing cost too. The proposed methodology obtains a reduction of 37.5 % on an average.
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Avinash Gupta, Kushwaha, D.S. (2016). Use Case-Based Software Change Analysis and Reducing Regression Test Effort. In: Satapathy, S., Bhatt, Y., Joshi, A., Mishra, D. (eds) Proceedings of the International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 438. Springer, Singapore. https://doi.org/10.1007/978-981-10-0767-5_48
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DOI: https://doi.org/10.1007/978-981-10-0767-5_48
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