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Constrained Interaction Testing: A Systematic Literature Study
Czech Technical University, Czech Republic.
University Malaysia Pahang, Gambang, Malaysia..
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-0611-2655
Czech Technical University, Czech Republic.
2017 (English)In: IEEE Access, E-ISSN 2169-3536, IEEE Access, ISSN 2169-3536, Vol. PP, no 99Article, book review (Other academic) Published
Abstract [en]

Interaction testing can be used to effectively detect faults that are otherwise difficult to find by other testing techniques. However, in practice, the input configurations of software systems are subjected to constraints, especially in the case of highly configurable systems. Handling constraints effectively and efficiently in combinatorial interaction testing is a challenging problem. Nevertheless, researchers have attacked this challenge through different techniques, and much progress has been achieved in the past decade. Thus, it is useful to reflect on the current achievements and shortcomings and to identify potential areas of improvements. This paper presents the first comprehensive and systematic literature study to structure and categorize the research contributions for constrained interaction testing. Following the guidelines of conducting a literature study, the relevant data is extracted from a set of 103 research papers belonging to constrained interaction testing. The topics addressed in constrained interaction testing research are classified into four categories of constraint test generation, application, generation & application and model validation studies. The papers within each of these categories are extensively reviewed. Apart from answering several other research questions, this study also discusses the applications of constrained interaction testing in several domains such as software product lines, fault detection & characterization, test selection, security and GUI testing. The study ends with a discussion of limitations, challenges and future work in the area.

Place, publisher, year, edition, pages
Sweden, 2017. Vol. PP, no 99
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-37348DOI: 10.1109/ACCESS.2017.2771562OAI: oai:DiVA.org:mdh-37348DiVA: diva2:1160582
Projects
TOCSYC - Testing of Critical System Characteristics (KKS)TESTMINE - Mining Test Evolution for Improved Software Regression Test Selection (KKS)
Available from: 2017-11-27 Created: 2017-11-27 Last updated: 2017-11-29Bibliographically approved

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Afzal, Wasif

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CiteExportLink to record
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