A Distributed Architecture for Dynamic Analyses on User-Profile Data

13 years 8 months ago

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Combining static and dynamic information is highly relevant in many reverse engineering, program comprehension and maintenance task. Dynamic analysis is particularly effective when information is collected during a long period of time in a real user environment. This, however, poses several challenges. First and foremost, it is necessary to model the extraction of any relevant dynamic information from execution traces, thus avoiding to collect a large amount of unmanageable data. Second, we need a distributed architecture that allows to collect and compress such an information from geographically distributed users. We propose a probabilistic model for representing dynamic information, as well as a web-service based distributed architecture for its collection and compression. The new architecture has been instantiated to collect interprocedural program execution traces up to a selectable level of calling context sensitivity. The paper details the role and responsibilities of the archit...

Giuliano Antoniol, Massimiliano Di Penta

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