Abstract
Trace slicing is a transformation technique that reduces the size of execution traces for the purpose of program analysis and debugging. Based on the appropriate use of antecedents, trace slicing tracks back reverse dependences and causality along execution traces and then cuts off irrelevant information that does not influence the data observed from the trace. In this paper, we describe the first slicing tool for conditional rewrite theories that can be used to drastically reduce complex, textually-large system computations w.r.t. a user-defined slicing criterion that selects those data that we want to track back from a given point.
This work has been partially supported by the EU (FEDER) and the Spanish MEC TIN2010-21062-C02-02 project, by Generalitat Valenciana, ref. PROMETEO2011/052. Also, D. Romero is supported by FPI-MEC grant BES-2008-004860 and F. Frechina is supported by FPU-ME grant AP2010-5681.
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Alpuente, M., Ballis, D., Frechina, F., Romero, D. (2012). Julienne: A Trace Slicer for Conditional Rewrite Theories. In: Giannakopoulou, D., Méry, D. (eds) FM 2012: Formal Methods. FM 2012. Lecture Notes in Computer Science, vol 7436. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32759-9_5
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DOI: https://doi.org/10.1007/978-3-642-32759-9_5
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