Abstract
We present a technique for risk-based test procedure identification, prioritization, and selection. The technique takes a risk model in the form of a risk graph as input, and produces a list of prioritized selected test procedures as output. The technique is general in the sense that it can be used with many existing risk documentation languages and many kinds of likelihood and risk types.
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CITATION STYLE
Seehusen, F. (2014). A technique for risk-based test procedure identification, prioritization and selection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8803, pp. 277–291). Springer Verlag. https://doi.org/10.1007/978-3-662-45231-8_20
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