Generating Trace-Sets for Model-based Testing

B. Lindström, P. Pettersson, A. Offutt
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引用次数: 9

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%.
为基于模型的测试生成跟踪集
模型检查器是功能强大的工具,可以通过模型找到单个的跟踪,以满足所需的属性。这些跟踪为许多问题提供了解决方案。软件测试需要满足覆盖标准的跟踪集,而不是单个的跟踪集。在大型模型中查找跟踪集是困难的,因为模型检查器生成单个跟踪并使用大量内存。模型检查算法的空间和时间要求随着被分析模型的变量和并行自动机的数量呈指数增长。我们提出了一种通过迭代调用模型检查器来生成一组跟踪的方法。该方法通过沿着路径动态构建分区来缓解内存消耗问题。将该方法应用于可测试性案例研究,生成了完整的跟踪集,而普通的模型检查只能生成26%的跟踪集。
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