Soutenance de thèse Marcos ALMEIDA, le lundi 25 juin, 10 h 30 Tour 26, couloir 26-00, 1er étage, Salle 105

Bonjour,

Nous avons le plaisir de vous inviter à la soutenance de thèse de
Marcos Almeida intitulée «
Détection et Traitement des Déviations dans les Environnements de
développement logiciel centrés procédés » le lundi 25 juin, 10 h 30, au
Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie
Curie, Tour 26, couloir 26-00, 1er étage, Salle 105. Vous êtes cordialement
invités ainsi qu'au pot qui suivra dans la salle 101.

Comment venir: http://www.lip6.fr/informations/comment.php

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Jury
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GERVAIS Marie-Pierre Professeur, Université Paris Ouest Nanterre La Défense,
directrice de thèse BENDRAOU Reda Maître de Conférence, Université Pierre et
Marie Curie, encadrant BLANC Xavier Professeur, Université Bordeaux 1,
co-encadrant KORDON Fabrice Professeur, Université Pierre et Marie Curie,
examinateur JEZEQUEL Jean-Marc Directeur de recherche, INRIA, examinateur
MULLER Pierre-Alain Professeur, Université de Haute-Alsace, examinateur
ESTUBLIER Jacky Directeur de recherche, CNRS, rapporteur MENS Tom
Professeur, Université de Mons, rapporteur

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Title
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Detection and Handling of Deviations in Process-centered Software
Engineering Environments

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Abstract
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Software Processes aim at improving the quality and productivity of software
development by encoding sets of well-know practices for realizing them. When
encoded in the form of Software Process Models
(SPM) they can be analyzed, improved and automated. This third activity is
the focus of this work. More specifically, we deal with a particular piece
of software that is in charge of the automatization of the execution of
SPMs: the Process-centered Software Engineering Environment (PSEE). They
consist of process-aware software development environments that allow
process agents to enact a SPM while having the conformance of their actions
to the SPM verified by the PSEE. In this work, we are interested in the
actions performed by the agents that do not conform to the SPM, we call
these actions deviations. As a starting point of this work, we evaluated the
existing PSEEs and realized that they do not provide the necessary support
for detecting and handling deviations. This work intends to provide PSEEs
the necessary support for detecting deviations and guiding process agents in
handling them. In terms of detection, our approach reduces the level of
prescriptiveness of PSEEs, by allowing them to detect deviations as early as
possible (Early Deviation Detection) and to classify deviations according
to their impact to the process objectives (Risk Assessment) In terms of
guidance, we want our approach to allow the PSEE to delay the effective
handling of deviations for as long as possible (Late Deviation Handling) and
to provide correction plans that help process agents to reduce the overall
risk represented by the detected deviations (Correction Guidance).


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Cordialement,

Marcos ALMEIDA