This paper shows a novel heuristic test case generation technique using an extended PN (place/transition net). A guard and action are introduced to improve the representation power of a PN. Also, a weight that represents the degree of testing priority is given to each transition of a PN. Our algorithm that heuristically searches the extended PN generates a specified number of feasible test cases that focus on parts of higher testing priority.
CITATION STYLE
Takagi, T., Akagi, A., & Katayama, T. (2018). Heuristic test case generation technique using extended place/transition nets. Studies in Computational Intelligence, 727, 103–115. https://doi.org/10.1007/978-3-319-64051-8_7
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