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Test Case Optimization and Prioritization of Web Service Using Bacteriologic Algorithm

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Intelligent Computing and Information and Communication

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 673))

Abstract

Regression testing, testing is done on the changes made in existing software to check whether the existing software is working properly or not after the changes has been done. Therefore, retesting is performed to detect the new faults found. This type of testing is performed again and again after the changes have been made in the pre-existing software. Various methods are used for test case reduction and optimization for a web service. Regression testing creates a large number of test suites which consumes a lot of time in testing and many other problems are faced. Therefore, some technique or method should be used so that number of test cases are reduced and also test cases can be prioritized keeping in mind the time and budget constraints. The test case reduction and prioritization need to be achieved depending on various parameters such as branch coverage and also on basis of fault coverage etc. Therefore, this paper discusses about the analysis of the code of a web service and the technique used to analyze a web service based on branch or code coverage and also the fault detection for test case reduction and prioritization is bacteriologic algorithm (BA). The test cases generated and also other requirements are mapped with the branch coverage and fault coverage of the code of the web service.

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Correspondence to Gaurav Raj .

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Raj, G., Singh, D., Tyagi, I. (2018). Test Case Optimization and Prioritization of Web Service Using Bacteriologic Algorithm. In: Bhalla, S., Bhateja, V., Chandavale, A., Hiwale, A., Satapathy, S. (eds) Intelligent Computing and Information and Communication. Advances in Intelligent Systems and Computing, vol 673. Springer, Singapore. https://doi.org/10.1007/978-981-10-7245-1_71

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  • DOI: https://doi.org/10.1007/978-981-10-7245-1_71

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7244-4

  • Online ISBN: 978-981-10-7245-1

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