A tertiary study on model-based testing areas, tools and challenges: Preliminary results
Loading...
Files
Date
Authors
Villalobos Arias, Leonardo
Quesada López, Christian Ulises
Martínez Porras, Alexandra
Jenkins Coronas, Marcelo
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Context: Model-based testing (MBT) is one of the most studied approaches by secondary studies in the area of software testing. A tertiary study that aggregates knowledge from secondary studies on MBT can be useful to both academia and industry. Objective: The goal of this study is to identify and characterize secondary studies in model-based testing, in terms of the areas, tools and challenges they have investigated. Method: We conducted a tertiary study in MBT. Our systematic mapping of secondary studies included 12 literature surveys and 10 systematic reviews over the period 1996–2016.Results: We
found that the two most studied areas of MBT are UML models and Transition-based notations. We also found that only 5 studies compared and classified MBT tools. The main challenges and limitations found
were related to the need for more empirical evidence that supports the selection of MBT approaches and tools. Conclusions: Not many systematic reviews on MBT were found, consequently some areas still lack
secondary studies: test execution aspects, language types, model dynamics, and some model paradigms and generation methods. We thus encourage the MBT community to perform further systematic reviews and mapping studies, following known protocols and reporting procedures, in order to increase the quality and quantity of empirical studies in MBT.
Description
Keywords
Model-based testing, Software Testing, Mapping study, Software engineering, Tertiary study
Citation
Collections
Endorsement
Review
Supplemented By
Referenced By
Creative Commons license
Except where otherwised noted, this item's license is described as acceso abierto