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Derivation of Test Cases for Model-based Testing of Software Product Line with Hybrid Heuristic Approach

  • R. Aduni Sulaiman
  • D. N. A. JawawiEmail author
  • Shahliza Abd Halim
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1073)

Abstract

In Model-based testing (MBT) for Software Product Lines (SPLs), many algorithms have been proposed for test case generation. The test case is generated based on a test model which aims to achieve optimization. The heuristic search algorithm is one of the techniques that can be used to traverse the test model with a good quality of solutions. This paper describes our experience in using three types of search algorithm, which are Floyd’s Warshall, Branch and Bound algorithm and Best First Search (FWA-BBA-BFS) which were integrated and hybridized in order to fully explore the test model. In this paper, this algorithm is validated based on test case results measured according to coverage criteria, generation time and size of test suite. Based on the experimental results, it is established that our proposed algorithm can generate test cases with reasonable cover-age, minimal execution time and appropriate size of test suite.

Keywords

Software Product Line Model-based testing Software testing Branch and bound algorithm 

Notes

Acknowledgement

This research is fully funded by Ministry of Higher Education Malaysia (MOHE) for FRGS Grant Vot No.5F117 and University Teknologi Malaysia for UTM-TDR Grant Vot No.06G23, which made this research endeavor possible.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • R. Aduni Sulaiman
    • 1
  • D. N. A. Jawawi
    • 2
    Email author
  • Shahliza Abd Halim
    • 1
    • 2
  1. 1.Software Engineering Department, Faculty of ComputingUniversity Technology MalaysiaSkudaiMalaysia
  2. 2.Faculty of Computer Science and Information SystemUniversity Tun Hussein Onn MalaysiaParit RajaMalaysia

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