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Correctness of UML class diagrams annotated with OCL constraints can be checked using bounded veri cation, e.g. SAT solvers. Bounded veri cation detects faults efficiently but, on the other hand, the absence of faults does not guarantee a correct behavior outside the bounded domain. Hence, choosing suitable bounds is a non-trivial process as there is a trade-o between the veri cation time (faster for smaller domains) and the con dence in the result (better for larger domains). Unfortunately, existing tools provide little support in this choice.This paper presents a technique that can be used to (i) automatically infer veri cation bounds whenever possible, (ii) tighten a set of bounds proposed by the user and (iii) guide the user in the bound selection process. This approach may increase the usability of UML/OCL bounded verifi cation tools and improve the efficiency of the veri fication process. Presented in SEFM 2015 (13h International Conference on Software Engineering and Formal Methods, 8-11 Sept 2015, York, UK). Work co-authored with Carlos A. González and Jordi Cabot.
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難得的照片
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THE 5 MOST
SPECTACULAR PHOTOS IN 2003
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