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Solving the Test Case Prioritization Problem with Secure Features Using Ant Colony System

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International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019) (CISIS 2019, ICEUTE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 951))

Abstract

Nowadays, the correctness of a program is a must and this comes with a plus when is about security. It is a major benefit to have confident results when the software is tested. In particular, when a regression test is made, it ensures that when a program system is modified, the existing and good functionality is not affected. NP-hard problems, including complex optimization problems necessitate high quality and intensively tested software. It is described an optimized test case prioritization method inspired by ant colony optimization, called Test Case Prioritization ANT and denoted by TCP-ANT. The current approach uses the Average Percentage of Fault Detected (APFD) metric as selection criterion, and tries to uncover maximum fault and to reduce the regression testing time. Furthermore, there are considered some metrics to better encapsulate the TCP-ANT execution cost and a criterion for a proper number of test cases, hopefully covering all possible faults. The main aim of the paper is to illustrate the Test Case Prioritization ANT from security perspective. This approach includes a severity factor of an identified fault, when using APFD metric and compares the TCP-ANT beneficent results with random, reverse and no prioritization techniques.

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Notes

  1. 1.

    http://www.cs.ubbcluj.ro/~avescan/?q=node/220.

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Author information

Authors and Affiliations

  1. Computer Science Department, Babes-Bolyai University, Cluj-Napoca, Romania

    Andreea Vescan

  2. Department of Mathematics and Computer Science, Technical University Cluj-Napoca, North University Center at Baia Mare, Baia-Mare, Romania

    Camelia-M. Pintea & Petrica C. Pop

Authors
  1. Andreea Vescan
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  2. Camelia-M. Pintea
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  3. Petrica C. Pop
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Corresponding author

Correspondence to Camelia-M. Pintea .

Editor information

Editors and Affiliations

  1. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Francisco Martínez Álvarez

  2. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Alicia Troncoso Lora

  3. University of Salamanca, Salamanca, Spain

    José António Sáez Muñoz

  4. Department of Industrial Engineering, University of A Coruña, A Coruña, Spain

    Héctor Quintián

  5. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Vescan, A., Pintea, CM., Pop, P.C. (2020). Solving the Test Case Prioritization Problem with Secure Features Using Ant Colony System. In: Martínez Álvarez, F., Troncoso Lora, A., Sáez Muñoz, J., Quintián, H., Corchado, E. (eds) International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019). CISIS ICEUTE 2019 2019. Advances in Intelligent Systems and Computing, vol 951. Springer, Cham. https://doi.org/10.1007/978-3-030-20005-3_7

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