Essec\Faculty\Model\Contribution {#2216 ▼
#_index: "academ_contributions"
#_id: "4502"
#_source: array:26 [
"id" => "4502"
"slug" => "4502-data-quality-through-model-quality-a-quality-model-for-measuring-and-improving-the-understandability-of-conceptual-models 
4502-data-quality-through-model-quality-a-quality-model-for-measuring-and-improving-the-understandab "
"yearMonth" => "2009-01"
"year" => "2009"
"title" => "Data Quality Through Model Quality: A Quality Model for Measuring and Improving the Understandability of Conceptual Models Data Quality Through Model Quality: A Quality Model for Measuring and Improving the Understandabilit "
"description" => "MEHMOOD, K., SI-SAID CHERFI, S. et COMYN-WATTIAU, I. (2009). Data Quality Through Model Quality: A Quality Model for Measuring and Improving the Understandability of Conceptual Models. Dans: <i>CIKM2009 - Workshop Proceedings</i>. Association for Computing Machinery (ACM). MEHMOOD, K., SI-SAID CHERFI, S. et COMYN-WATTIAU, I. (2009). Data Quality Through Model Quality: A Q "
"authors" => array:3 [
0 => array:3 [
"name" => "COMYN-WATTIAU Isabelle"
"bid" => "B00000530"
"slug" => "wattiau-isabelle"
]
1 => array:1 [
"name" => "MEHMOOD K."
]
2 => array:1 [
"name" => "SI-SAID CHERFI S."
]
]
"ouvrage" => "CIKM2009 - Workshop Proceedings"
"keywords" => array:5 [
0 => "Compréhensibilité du mondèle conceptuel"
1 => "Facteur de qualité"
2 => "Métrique de qualité"
3 => "Modèle conceptuel"
4 => "Qualité de la modélisation conceptuelle"
]
"updatedAt" => "2021-04-19 17:57:25"
"publicationUrl" => null
"publicationInfo" => array:3 [
"pages" => null
"volume" => null
"number" => null
]
"type" => array:2 [
"fr" => "Actes d'une conférence"
"en" => "Conference Proceedings"
]
"support_type" => array:2 [
"fr" => "Editeur"
"en" => "Publisher"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "CD-Rom Cet article s'intéresse à la qualité des modèles conceptuels qui sont un moyen reconnu d'améliorer la qualité des systèmes d'information (SI) et notamment des données contenues dans ces SI. Les modèles conceptuels sont produits pendant la phase d'analyse et sont un moyen de communication entre utilisateurs et développeurs. En conséquence, leur compréhensibilité est un objectif important pour éviter la propagation d'une interprétation inexacte des demandes des utilisateurs vers le futur SI. Dans cet article nous proposons un modèle de qualité adaptable. Nous illustrons son utilité en décrivant comment il peut être utilisé pour modéliser et évlauer la compréhensibilité des modèles conceptuels. Notre évaluation de la qualité est accompagnée de propositions d'actions correctives fournies au concepteur, fournissant ainsi un guidage. Une première validation via une enquête est proposée. CD-Rom Cet article s'intéresse à la qualité des modèles conceptuels qui sont un moyen reconnu d'amél "
"en" => "Data quality has emerged as an important and challenging topic in recent years. This article addresses the conceptual model quality as it has been widely accepted that better conceptual models produce better information systems and thus implicitly improve the data quality. Conceptual Models are designed as part of the analysis phase and serve as a communicating mediator between the users and the development team. Consequently, their understandability is a real challenge to avoid the propagation of inaccurate interpretation of the user requirements to the underlying system design and implementation. In this paper, we propose an adaptive quality model. We illustrate its usefulness by describing how it can be used to model and evaluate the understandability of conceptual models. Our quality evaluation is enriched with corrective actions provided to the designer, leading to a guidance modeling process. A first validation based on a survey is proposed. Data quality has emerged as an important and challenging topic in recent years. This article address "
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2025-03-30T09:21:40.000Z"
"docTitle" => "Data Quality Through Model Quality: A Quality Model for Measuring and Improving the Understandability of Conceptual Models Data Quality Through Model Quality: A Quality Model for Measuring and Improving the Understandabilit "
"docSurtitle" => "Conference Proceedings"
"authorNames" => "<a href="/cv/wattiau-isabelle">COMYN-WATTIAU Isabelle</a>, MEHMOOD K., SI-SAID CHERFI S."
"docDescription" => "<span class="document-property-authors">COMYN-WATTIAU Isabelle, MEHMOOD K., SI-SAID CHERFI S.</span><br><span class="document-property-authors_fields">Information Systems, Data Analytics and Operations</span> | <span class="document-property-year">2009</span> <span class="document-property-authors">COMYN-WATTIAU Isabelle, MEHMOOD K., SI-SAID CHERFI S.</span> "
"keywordList" => "<a href="#">Compréhensibilité du mondèle conceptuel</a>, <a href="#">Facteur de qualité</a>, <a href="#">Métrique de qualité</a>, <a href="#">Modèle conceptuel</a>, <a href="#">Qualité de la modélisation conceptuelle</a> <a href="#">Compréhensibilité du mondèle conceptuel</a>, <a href="#">Facteur de qualité</a>, <a href "
"docPreview" => "<b>Data Quality Through Model Quality: A Quality Model for Measuring and Improving the Understandability of Conceptual Models</b><br><span>2009-01 | Conference Proceedings </span> <b>Data Quality Through Model Quality: A Quality Model for Measuring and Improving the Understandabi "
"docType" => "research"
"publicationLink" => "<a href="#" target="_blank">Data Quality Through Model Quality: A Quality Model for Measuring and Improving the Understandability of Conceptual Models</a> <a href="#" target="_blank">Data Quality Through Model Quality: A Quality Model for Measuring and Im "
]
+lang: "en"
+"_type": "_doc"
+"_score": 9.243839
+"parent": null
}
