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RETRACTED ARTICLE: A multi objective binary bat approach for testcase selection in object oriented testing

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This article was retracted on 06 June 2022

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Abstract

Time and resources are usually neglected areas in the life cycle of software development. So, these become the primary constraints in software testing. Optimization of a test suite is quite crucial in reducing the complexity of the testing phase and selection of the test cases by eliminating redundant data; this is critical for defining the strategies. Most of the work in literature employs single-objective optimization methods. Though these are not always efficient, these play a critical role in the selection of a test case. Test case selection is, however, non-deterministic. Selection of test cases using Parallel Programming is treated as a complex task due to the need for higher performance in Parallel Computing. Parallel Computing can be stated as a combination of Computational mechanisms and Mathematical techniques. Hence, this investigation proposes a novel BAT algorithm for multi-objective optimization. It has code coverage as well as Object-oriented testing strategies. Comparing the experimental results with the Genetic Algorithm (GA), it is observed that the proposed method has faster convergence with adequate code coverage.

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Authors and Affiliations

  1. Anna University, Chennai, 600025, India

    B. Geetha

  2. Department of Master of Computer Applications, Fatima College, Madurai, India

    D. Jeya Mala

Authors
  1. B. Geetha
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  2. D. Jeya Mala
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Correspondence to B. Geetha.

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This article has been retracted. Please see the retraction notice for more detail:https://doi.org/10.1007/s12652-022-04044-z

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Geetha, B., Jeya Mala, D. RETRACTED ARTICLE: A multi objective binary bat approach for testcase selection in object oriented testing. J Ambient Intell Human Comput 12, 6997–7006 (2021). https://doi.org/10.1007/s12652-020-02360-w

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  • DOI: https://doi.org/10.1007/s12652-020-02360-w

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