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Adaptive Weighted Sum Bi-objective Bat for Regression Testing Optimization

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Artificial Intelligence and Online Engineering (REV 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 524))

Abstract

Regression testing is a type of testing carried out during the software maintenance phase, to confirm the validity of a software system after any modifications. However, regression testing is expensive, and sometimes it cannot be carried out within the testing budget, due to the large size of a test suite. In order to reduce regression testing cost, the test suite should be reduced without losing its efficiency in terms of pre-defined criteria such as its capability of fault detection; this problem is known as test suite reduction problem (TSR). In this paper, the TSR problem was formulated as a bi-objective optimization problem using an adaptive-weighted (AW) sum method. Then an adapted binary Bat algorithm (AW-ABBA) was utilized to search for a Pareto-optimal set of solutions; allowing the decision-maker under various circumstances to choose the best solution from the proposed set. The efficacy of the AW-ABBA was assessed using three metrics, Cardinality ratio, \({IGD}^{+}\) and Diversity, over five test suites of different sizes. Experimental results showed that the AW-ABBA was able to efficiently approximate a reference Pareto-front.

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Author information

Authors and Affiliations

  1. Suez Canal University, Ismailia, Egypt

    Nagwa R. Fisal

  2. British University in Egypt, El Shorouk City, Egypt

    Abeer Hamdy

  3. Nagoya Institute of Technology, Nagoya, Japan

    Essam A. Rashed

Authors
  1. Nagwa R. Fisal
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  2. Abeer Hamdy
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  3. Essam A. Rashed
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Corresponding author

Correspondence to Nagwa R. Fisal .

Editor information

Editors and Affiliations

  1. CTI Global, Frankfurt, Germany

    Michael E. Auer

  2. British University in Egypt, El Shorouk, Egypt

    Samir A. El-Seoud

  3. British University in Egypt, El Shorouk, Egypt

    Omar H. Karam

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Fisal, N.R., Hamdy, A., Rashed, E.A. (2023). Adaptive Weighted Sum Bi-objective Bat for Regression Testing Optimization. In: Auer, M.E., El-Seoud, S.A., Karam, O.H. (eds) Artificial Intelligence and Online Engineering. REV 2022. Lecture Notes in Networks and Systems, vol 524. Springer, Cham. https://doi.org/10.1007/978-3-031-17091-1_49

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