Resumen:
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[EN] Dynamic slicing is a technique to extract the part of the program (called slice) that influences or is influenced, in a particular execution, by a given point of interest in the source code (called slicing criterion). ...[+]
[EN] Dynamic slicing is a technique to extract the part of the program (called slice) that influences or is influenced, in a particular execution, by a given point of interest in the source code (called slicing criterion). Since a single execution is considered, the technique often uses a trace of this execution to analyze data and control dependencies. In this work we present the first formulation and implementation of dynamic slicing in the context of CSP. Most of the ideas presented can be directly applied to other concurrent specification languages such as Promela or CCS, but we center the discussion and the implementation
on CSP. We base our technique on a new data structure to represent CSP computations called track. A track is a data structure which represents the sequence of expressions that have been evaluated during the computation, and moreover, it is labeled with the location of these expressions in the specification. The implementation of a dynamic slicer for CSP is useful for debugging, program comprehension, and program specialization, and it is also interesting from a theoretical perspective because CSP introduces difficulties such as heavy concurrency and non-determinism, synchronizations, frequent absence of data dependence, etc.
© 2016 Elsevier B.V. All rights reserved
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Descripción:
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This is the author’s version of a work that was accepted for publication in Parallel Computing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Parallel Computing, 53, 1-22., (2016). DOI 10.1016/j.parco.2016.01.006.
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Agradecimientos:
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This work has been partially supported by the EU (FEDER) and the Spanish Ministerio de Economia y Competitividad under Grant TIN2013-44742-C4-1-R and by the Generalitat Valenciana under Grant PROMETEOII/2015/013 (SmartLogic). ...[+]
This work has been partially supported by the EU (FEDER) and the Spanish Ministerio de Economia y Competitividad under Grant TIN2013-44742-C4-1-R and by the Generalitat Valenciana under Grant PROMETEOII/2015/013 (SmartLogic). Salvador Tamarit was partially supported by Madrid regional projects N-GREENS Software-CM (S2013/ICE-2731), and by European Union project POLCA (STREP FP7-ICT-20133.4 610686).
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