Data flow testing of feature-oriented programs

Madhusmita Sahu () and Durga Prasad Mohapatra ()
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Madhusmita Sahu: National Institute of Technology
Durga Prasad Mohapatra: National Institute of Technology

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 5, No 14, 2306 pages

Abstract: Abstract We propose an approach to perform data flow testing of feature-oriented programs. In our approach, we use a data flow model to represent flow of data across the mixin layers and classes. The model is represented as a control flow graph named composed control flow graph (CCFG). The CCFG depicts flow of control between various program statements. Then, we define different levels of testing to test a feature-oriented program inside a mixin layer and across mixin layers. Then, we compute def-use pairs for each variable in the program and design test cases randomly to exercise each def-use pair.

Keywords: Data flow testing; Feature-oriented programming; Mixin layer; Def-use pair; Composed control flow graph (CCFG) (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s13198-022-01636-y

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