Abstract
We introduce a mathematical framework for black-box software testing of functional correctness, based on concepts from stochastic process theory. This framework supports the analysis of two important aspects of testing, namely: (i) coverage, probabilistic correctness and reliability modelling, and (ii) test case generation. Our model corrects some technical flaws found in previous models of probabilistic correct-ness found in the literature. It also provides insight into the design of new testing strategies, which can be more efficient than random testing. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Meinke, K. (2006). A stochastic theory of black-box software testing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4060 LNCS, pp. 578–595). Springer Verlag. https://doi.org/10.1007/11780274_30
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