Code-aware combinatorial interaction testing

Ahmed, Bestoun S. and Gargantini, Angelo and Kamal Z., Zamli and Yilmaz, Cemal and Bures, Miroslav and Szeles, Marek (2019) Code-aware combinatorial interaction testing. IET Software, 13 (6). pp. 600-609. ISSN 1751-8814

[img]
Preview
Pdf
Code-aware combinatorial interaction testing .pdf

Download (376kB) | Preview

Abstract

Combinatorial interaction testing (CIT) is a useful testing technique to address the interaction of input parameters in software systems. CIT has been used as a systematic technique to sample the enormous test possibilities. Most of the research activities focused on the generation of CIT test suites as a computationally complex problem. Less effort has been paid for the application of CIT. To apply CIT, practitioners must identify the input parameters for the Software-under-test (SUT), feed these parameters to the CIT test generation tool, and then run those tests on the application with some pass and fail criteria for verification. Using this approach, CIT is used as a black-box testing technique without knowing the effect of the internal code. Although useful, practically, not all the parameters having the same impact on the SUT. This paper introduces a different approach to use the CIT as a gray-box testing technique by considering the internal code structure of the SUT to know the impact of each input parameter and thus use this impact in the test generation stage. The case studies results showed that this approach would help to detect new faults as compared to the equal impact parameter approach.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Program testing; Software fault tolerance; Program verification
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 12 Mar 2020 08:27
Last Modified: 12 Mar 2020 08:27
URI: http://umpir.ump.edu.my/id/eprint/26801
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item