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Predicting Data Races from Program Traces

Carril Rodriguez, Luis Manuel

Abstract (englisch):
We present an approach to detect and reproduce data races from a program trace in non-observed interleavings modelling the trace with a process algebra. The approach detects and generate a scheduling to reproduce the trace consistently, reducing probe effects during debugging.

Zugehörige Institution(en) am KIT Institut für Programmstrukturen und Datenorganisation (IPD)
Publikationstyp Vortrag
Jahr 2016
Sprache Englisch
Identifikator KITopen ID: 1000070939
Erschienen in International Working Group Software Engineering for Parallel Systems (SEPARS), Technical University of Munich (TUM), Garching, Germany, 23.02.2016
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