Applying regression test selection for COTS-based applications
Proceedings of the 28th international conference on Software engineering
Regression Test Selection for Black-box Dynamic Link Library Components
IWICSS '07 Proceedings of the Second International Workshop on Incorporating COTS Software into Software Systems: Tools and Techniques
Pallino: automation to support regression test selection for cots-based applications
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
Empirical evaluations of regression test selection techniques: a systematic review
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
A systematic review on regression test selection techniques
Information and Software Technology
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Various regression test selection techniques have been developed and have shown to improve testing cost effectiveness via improving efficiency. The majority of these test selection techniques rely on access to source code for change identification. However, when new releases of COTS components are made available for integration and testing, source code is often not available to guide in regression test selection. In this paper we describe a lightweight Integrated - Black-box Approach for Component Change Identification (IBACCI) process for selection of regression tests for user/glue code that uses COTS components. I-BACCI is applicable when component licensing agreements do not preclude binary code analysis. A case study of the process was conducted on an ABB product that uses a medium-scale internal ABB software component. Six releases of the component were examined to evaluate the efficacy of the proposed process. The result of the case study indicates that this process can reduce the required regression tests by 40% on average.