Abstract
Analyzing differences among software artifacts is beneficial in a variety of scenarios, such as feasibility study, configuration management, and software product line engineering. Currently variability analysis is mainly done based on artifacts developed in a certain development phase (most notably, requirements engineering). We will demonstrate a tool that utilizes both functional requirements and test cases in order to analyze variability more comprehensively. The tool implements the ideas of SOVA R-TC method.
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Appendix: Screenshots from the Supporting Tool
Appendix: Screenshots from the Supporting Tool
An example of an input file
The parsed requirements
The parsed test cases (pre = precondition, expected = expected results)
Integrated parsing outcomes
Similarity calculation results
An example of a created feature diagram
(The requirements’ codes are in the form of rX_Y, where X is the number of product and Y is the number of the requirement in that product.
Going over a leaf with the mouse will present the text of the requirement.)
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Steinberger, M., Reinhartz-Berger, I., Tomer, A. (2016). A Tool for Analyzing Variability Based on Functional Requirements and Testing Artifacts. In: Link, S., Trujillo, J. (eds) Advances in Conceptual Modeling. ER 2016. Lecture Notes in Computer Science(), vol 9975. Springer, Cham. https://doi.org/10.1007/978-3-319-47717-6_21
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DOI: https://doi.org/10.1007/978-3-319-47717-6_21
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