5 research outputs found

    Evaluating and comparing fault-based testing strategies for general Boolean specifications: A series of experiments

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    A great amount of fault-based testing strategies have been proposed to generate test cases for detecting certain types of faults in Boolean specifications. However, most of the previous studies on these strategies were focused on the Boolean expressions in the disjunctive normal form (DNF), even the irredundant DNF (IDNF)-little work has been conducted to comprehensively investigate their performance on general Boolean specifications. In this study, we conducted a series of experiments to evaluate and compare 18 fault-based testing strategies using over 4000 randomly generated fault-seeded Boolean expressions. In the experiments, a testing strategy is regarded as effective and efficient if it can detect most of the seeded faults using a small number of test cases. Our experimental results show that if a testing strategy is highly effective and efficient when testing the Boolean expressions in the IDNF, it also shows high effectiveness and efficiency on general Boolean expressions. It is found that one family of fault-based testing strategies, namely MUMCUT, normally deliver the best performance among all the 18 strategies. Our study provides an in-depth understanding and insight of fault-based testing for general Boolean expressions

    Model Checking and Model-Based Testing : Improving Their Feasibility by Lazy Techniques, Parallelization, and Other Optimizations

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    This thesis focuses on the lightweight formal method of model-based testing for checking safety properties, and derives a new and more feasible approach. For liveness properties, dynamic testing is impossible, so feasibility is increased by specializing on an important class of properties, livelock freedom, and deriving a more feasible model checking algorithm for it. All mentioned improvements are substantiated by experiments

    Automatic generation of test cases from Boolean specifications using the MUMCUT strategy

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    A recent theoretical study has proved that the MUMCUT testing strategy (1) guarantees to detect seven types of fault in Boolean specifications in irredundant disjunctive normal form, and (2) requires only a subset of the test sets that satisfy the previously proposed MAX-A and MAX-B strategies, which can detect the same types of fault. This paper complements previous work by investigating various methods for the automatic generation of test cases to satisfy the MUMCUT strategy. We evaluate these methods by using several sets of Boolean expressions, including those derived from real airborne software systems. Our results indicate that the greedy CUN and UCN methods are clearly better than others in consistently producing significantly smaller test sets, whose sizes exhibit linear correlation with the length of the Boolean expressions in irredundant disjunctive normal form. This study provides empirical evidences that the MUMCUT strategy is indeed cost-effective for detecting the faults considered in this paper
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