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The uses of process modeling : a framework for understanding modeling formalisms
There is wide-spread recognition of the urgent need to improve software processes in order to improve the performance of software organizations. Process models are essential in achieving understanding and visibility of processes and are important for other uses including the analysis of processes for improvement. It has been increasingly difficult to compare and evaluate the variety of process modeling formalisms that have appeared in recent years without a clear understanding of precisely for what they will be used. The contribution of this paper is to provide an understanding and a fairly comprehensive catalog of the applications of process modeling for which formalisms may be used. The primary mechanism for doing this is a guided tour of the literature on process modeling supplemented by recent industrial experience. In the paper, basic definitions concerning processes, process descriptions and process modeling are reviewed and then uses of process modeling are surveyed under the following headings: communication among process participants, construction of new processes, control of processes, process· analysis, and process support by automation. Comments are offered on paradigms for process modeling formalisms and directions for future work to permit evolution of a discipline of process engineering are given
Tightening the Complexity of Equivalence Problems for Commutative Grammars
We show that the language equivalence problem for regular and context-free
commutative grammars is coNEXP-complete. In addition, our lower bound
immediately yields further coNEXP-completeness results for equivalence problems
for communication-free Petri nets and reversal-bounded counter automata.
Moreover, we improve both lower and upper bounds for language equivalence for
exponent-sensitive commutative grammars.Comment: 21 page
A Polynomial Translation of pi-calculus FCPs to Safe Petri Nets
We develop a polynomial translation from finite control pi-calculus processes
to safe low-level Petri nets. To our knowledge, this is the first such
translation. It is natural in that there is a close correspondence between the
control flows, enjoys a bisimulation result, and is suitable for practical
model checking.Comment: To appear in special issue on best papers of CONCUR'12 of Logical
Methods in Computer Scienc
Modeling Time in Computing: A Taxonomy and a Comparative Survey
The increasing relevance of areas such as real-time and embedded systems,
pervasive computing, hybrid systems control, and biological and social systems
modeling is bringing a growing attention to the temporal aspects of computing,
not only in the computer science domain, but also in more traditional fields of
engineering.
This article surveys various approaches to the formal modeling and analysis
of the temporal features of computer-based systems, with a level of detail that
is suitable also for non-specialists. In doing so, it provides a unifying
framework, rather than just a comprehensive list of formalisms.
The paper first lays out some key dimensions along which the various
formalisms can be evaluated and compared. Then, a significant sample of
formalisms for time modeling in computing are presented and discussed according
to these dimensions. The adopted perspective is, to some extent, historical,
going from "traditional" models and formalisms to more modern ones.Comment: More typos fixe
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