Extracting Data Manipulation Processes from SQL Execution Traces

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Résumé

Modern data-intensive software systems manipulate an increasing amount of data in order to support users in various execution contexts. Maintaining and evolving activities of such systems rely on an accurate documentation of their behavior which is often missing or outdated. Unfortunately, standard program analysis techniques are not always suitable for extracting the behavior of data-intensive systems which rely on more and more dynamic data access mechanisms which mainly consist in run-time interactions with a database. This paper proposes a framework to extract behavioral models from data-intensive program executions. The framework makes use of dynamic analysis techniques to capture and analyze SQL execution traces. It applies clustering techniques to identify data manipulation functions from such traces. Process mining techniques are then used to synthesize behavioral models.

langue originaleAnglais
titreLecture Notes in Business Information Processing
EditeurSpringer Verlag
Pages85-101
Nombre de pages17
Volume204
ISBN (imprimé)9783319192697
Les DOIs
Etat de la publicationPublié - 2015
EvénementInternational Conference on Advanced Information Systems Engineering , CAiSE Forum 2014 - Thessaloniki, Grèce
Durée: 16 juin 201420 juin 2014

Série de publications

NomLecture Notes in Business Information Processing
Volume204
ISSN (imprimé)18651348

Une conférence

Une conférenceInternational Conference on Advanced Information Systems Engineering , CAiSE Forum 2014
PaysGrèce
La villeThessaloniki
période16/06/1420/06/14

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