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  • 1.
    Ahmed, Bestoun S.
    et al.
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). Czech Technical University, Prague, Czech Republic.
    Gargantini, Angelo
    University of Bergamo, Italy.
    Zamli, Kamal Z.
    University Malaysia Pahang, Pahang, Malaysia.
    Yilmaz, Cemal
    Sabanci University, Istanbul, Turkey.
    Bures, Miroslav
    Czech Technical University, Prague, Czech Republic.
    Szeles, Marek
    Czech Technical University, Prague, Czech Republic.
    Code-Aware Combinatorial Interaction Testing2019In: IET Software, ISSN 1751-8806, E-ISSN 1751-8814Article in journal (Refereed)
    Abstract [en]

    Combinatorial interaction testing (CIT) is a useful testing technique to address the interaction of input parameters in software systems. In many applications, the technique has been used as a systematic sampling technique to sample the enormous possibilities of test cases. In the last decade, most of the research activities focused on the generation of CIT test suites as it is a computationally complex problem. Although promising, less effort has been paid for the application of CIT. In general, to apply the CIT, practitioners must identify the input parameters for the Software-under-test (SUT), feed these parameters to the CIT tool to generate the test suite, 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. We applied our approach to five reliable case studies. The results showed that this approach would help to detect new faults as compared to the equal impact parameter approach.

  • 2.
    Tegegne, Esubalew Workineh
    et al.
    University of Oulu, Finland.
    Seppänen, Pertti
    University of Oulu, Finland.
    Ahmad, Muhammad Ovais
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). University of Oulu, Finland; Gdansk University of Technolog, Poland.
    Software development methodologies and practices in start-ups2019In: IET Software, ISSN 1751-8806, E-ISSN 1751-8814, Vol. 13, no 6, p. 497-509Article in journal (Refereed)
    Abstract [en]

    Software start-ups are aiming to develop cutting-edge software products under highly uncertain conditions, overcoming fast-growing markets under multiple influences. This study aims to identify and analyse the existing scientific literature regarding software development methodologies and practices in software start-ups published between January 2006 and December 2017 using the systematic mapping study. The results identified 37 relevant primary studies out of 1982 papers. To validate the results from the mapping study, an empirical study was based on the research data collected from 14 real-life software start-ups located in Finland, Italy and Norway. The result shows that Agile and Lean start-up methodologies are the most commonly used in software start-ups due to the flexible nature and easy tailoring. A total of 144 software development work practices are extracted from the primary studies. This study contributes to the research in several ways: (i) provides state of the art regarding software development methods and practices in software start-up contexts, (ii) reports commonly used methods along with its benefits identified in primary studies and (iii) identifies opportunities for future software start-up research.

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