Efficient computation of causal behavioural profiles using structural decomposition
Contribuinte(s) |
Lilius, Johan Penczek, Wojciech |
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Data(s) |
2010
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Resumo |
Identification of behavioural contradictions is an important aspect of software engineering, in particular for checking the consistency between a business process model used as system specification and a corresponding workflow model used as implementation. In this paper, we propose causal behavioural profiles as the basis for a consistency notion, which capture essential behavioural information, such as order, exclusiveness, and causality between pairs of activities. Existing notions of behavioural equivalence, such as bisimulation and trace equivalence, might also be applied as consistency notions. Still, they are exponential in computation. Our novel concept of causal behavioural profiles provides a weaker behavioural consistency notion that can be computed efficiently using structural decomposition techniques for sound free-choice workflow systems if unstructured net fragments are acyclic or can be traced back to S- or T-nets. |
Identificador | |
Publicador |
Springer Berlin Heidelberg |
Relação |
DOI:10.1007/978-3-642-13675-7_6 Weidlich, Matthias, Polyvyanyy, Artem, Mendling, Jan, & Weske, Mathias (2010) Efficient computation of causal behavioural profiles using structural decomposition. In Lilius, Johan & Penczek, Wojciech (Eds.) Lecture Notes in Computer Science : Applications and Theory of Petri Nets, Springer Berlin Heidelberg, Braga, Portugal, pp. 63-83. |
Fonte |
Science & Engineering Faculty |
Palavras-Chave | #080500 DISTRIBUTED COMPUTING #080600 INFORMATION SYSTEMS |
Tipo |
Conference Paper |