Debugging Multimedia Application Traces through Periodic Pattern Mining

Patricia López-Cueva 1 Aurélie Bertaux 2 Alexandre Termier 3, * Jean-François Méhaut 4, * Miguel Santana 5
* Corresponding author
1 NANOSIM
ST-CROLLES - STMicroelectronics [Crolles], LIG - Laboratoire d'Informatique de Grenoble
3 LIG Laboratoire d'Informatique de Grenoble - HADAS
LIG - Laboratoire d'Informatique de Grenoble
4 NANOSIM
LIG - Laboratoire d'Informatique de Grenoble
Abstract : Increasing complexity in both the software and the underlying hardware, and ever tighter time-to-market pressures are some of the key challenges faced when designing multimedia embedded systems. Optimizing the debugging phase can help to reduce development time significantly. A powerful approach used extensively during this phase is the analysis of execution traces. However, huge trace volumes make manual trace analysis unmanageable. In such situations, Data Mining can help by automatically discovering interesting patterns in large amounts of data. In this paper, we are interested in discovering periodic behaviors in multimedia applications. Therefore, we propose a new pattern mining approach for automatically discovering all periodic patterns occurring in a multimedia application execution trace.
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https://hal.archives-ouvertes.fr/hal-00750941
Contributor : Eric Gaussier <>
Submitted on : Monday, November 12, 2012 - 5:01:51 PM
Last modification on : Thursday, October 11, 2018 - 8:48:04 AM

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Patricia López-Cueva, Aurélie Bertaux, Alexandre Termier, Jean-François Méhaut, Miguel Santana. Debugging Multimedia Application Traces through Periodic Pattern Mining. EMSOFT 2012, part of ESWEEK - Embedded Systems Week, Oct 2012, Tampere, Finland. pp.13-22, ⟨10.1145/2380356.2380366⟩. ⟨hal-00750941⟩

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