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1.	Lindström, Birgitta, et al. (author) Generating Trace-Sets for Model-Based Testing 2007 In: Proceedings 18th IEEE International Symposiumon Software Reliability Engineering. - : IEEE. - 9780769530246 - 0769530249 ; , s. 171-180 Conference paper (peer-reviewed)abstract Model-checkers are powerful tools that can find individual traces through models to satisfy desired properties. These traces provide solutions to a number of problems. Instead of individual traces, software testing needs sets of traces that satisfy coverage criteria. Finding a trace set in a large model is difficult because model checkers generate single traces and use a lot of memory. Space and time requirements of modelchecking algorithms grow exponentially with respect to the number of variables and parallel automata of the model being analyzed. We present a method that generates a set of traces by iteratively invoking a model checker. The method mitigates the memory consumption problem by dynamically building partitions along the traces. This method was applied to a testability case study, and it generated the complete trace set, while ordinary model-checking could only generate 26%.

Lindström, Birgitta, et al. (author)
Generating Trace-Sets for Model-Based Testing
2007
In: Proceedings 18th IEEE International Symposiumon Software Reliability Engineering. - : IEEE. - 9780769530246 - 0769530249 ; , s. 171-180
Conference paper (peer-reviewed)abstract
- Model-checkers are powerful tools that can find individual traces through models to satisfy desired properties. These traces provide solutions to a number of problems. Instead of individual traces, software testing needs sets of traces that satisfy coverage criteria. Finding a trace set in a large model is difficult because model checkers generate single traces and use a lot of memory. Space and time requirements of modelchecking algorithms grow exponentially with respect to the number of variables and parallel automata of the model being analyzed. We present a method that generates a set of traces by iteratively invoking a model checker. The method mitigates the memory consumption problem by dynamically building partitions along the traces. This method was applied to a testability case study, and it generated the complete trace set, while ordinary model-checking could only generate 26%.

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