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Combinatorial testing aims to detect interaction faults, which are triggered by interaction among parameters in system, by covering some specific combinations of parametric values. Most works about combinatorial testing focus on detecting such interaction faults rather than locating them. Based on the model of interaction fault schema, in which the interaction fault is described as a minimum fault...
For scalability, many side-effect analysis methods choose inclusion-based context-insensitive (IBCI) pointer analysis as their basis. However, such a pointer analysis is known to be imprecise, which often results in over-conservative side-effect sets. In this paper, we present a lightweight approach that exploits lazy access path resolving to improve the precision of side-effect analysis under IBCI...
Combinatorial testing is a practical software testing approach that has been widely used in practice. Most research and applications of such approach focus on N-way combinatorial testing that provides a minimum coverage of all N-way interactions among factor. However, the strengths of different interactions may not be a fixed integer N, but a variable. Therefore, variable strength combinatorial testing...
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