Semantic Web Enabled Software Engineering.
Title:
Semantic Web Enabled Software Engineering.
Author:
Pan, J.Z.
ISBN:
9781614993704
Personal Author:
Physical Description:
1 online resource (286 pages)
Series:
Studies on the Semantic Web ; v.17
Studies on the Semantic Web
Contents:
Title Page -- Foreword -- Contents -- List of Contributors -- Part I. Software Engineering Meets Semantic Web: Concepts and Theories -- Motivation and Introduction -- Close Encounters of the Semantic Web and MDA Kinds -- Generating Model Transformations Using Ontology Engineering Space -- Part II. Realize Software Engineering by Semantic Web Technologies -- Towards a Consistent Feature Model using OWL -- Using Semantic Web Technologies for Management Application Integration -- Semantic Web Enabled Software Analysis -- Semantically Enabling Web Service Repositories -- ABC: A methodology for Semantic Web Application Development -- Model-driven Design Frameworks for Semantic Web Applications -- Part III. Design Ontologies for Software Engineering -- A Software Process Ontology and Its Application -- Enriching SE Ontologies with Bug Quality -- Learning Ontologies from Software Artifacts: Exploring and Combining Multiple Choices -- References.
Abstract:
Over the last decade, ontology has become an important modeling component in software engineering. Semantic Web Enabled Software Engineering presents some critical findings on opening a new direction of the research of Software Engineering, by exploiting Semantic Web technologies. Most of these findings are from selected papers from the Semantic Web Enabled Software Engineering (SWESE) series of workshops starting from 2005. Edited by two leading researchers, this advanced text presents a unifying and contemporary perspective on the field. The book integrates in one volume a unified perspective on concepts and theories of connecting Software Engineering and Semantic Web. It presents state-of-the-art techniques on how to use Semantic Web technologies in Software Engineering and introduces techniques on how to design ontologies for Software Engineering.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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