Ontologies for Software Engineering and Software Technology - Image 1

Price loading...

Springer Ontologies for Software Engineering and Software Technology

Name: Ontologies for Software Engineering and Software Technology
Brand: Springer

AI & Machine Learning

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Communication is one of the main activities in software projects, many such projects fail or encounter serious problems because the stakeholders involved have different understandings of the problem domain and/or they use different terminologies. Ontologies can help to mitigate these communication problems. Calero and her coeditors mainly cover two applications of ontologies in software engineering and software techonology: sharing knowledge of the problem domain and using a common terminology among all stakeholders; and filtering the knowledge when defining models and metamodels. The editors structured the contributions into three parts: first, a detailed introduction into the use of ontologies in software engineering and software technology in general; second, the use of ontologies to conceptualize different process-related domains such as software maintenance, software measurement, or SWEBOK, initiated by IEEE; third, the use of ontologies as artifacts in several software processes, like, for example, in OMG’s MOF or MDA. By presenting the advanced use of ontologies in software research and software projects, this book is of benefit to software engineering researchers in both academia and industry.

Product Specifications

Brand: Springer
Format: Hardcover
ASIN: 3540345175
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 19 October 2006
Listed Since: 05 January 2007

Barcode

No barcode data available

Springer Ontologies for Software Engineering and Software Technology

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Springer - Ontologies for Software Engineering and Technology

Ontological Engineering: With Examples from the Areas of Knowledge Management, E-Commerce and the Semantic Web (Advanced Information and Knowledge ... and the Semantic Web. First Edition

Ontology Engineering (Synthesis Lectures on Data, Semantics, and Knowledge)

Semantic Web and Model-Driven Engineering

Software Engineering

Software Sustainability

Enterprise Ontology: A Human-Centric Approach to Understanding the Essence of Organisation (The Enterprise Engineering Series)

Springer - Software Engineering in the Era of Cloud Computing

Enterprise Ontology: A Human-Centric Approach to Understanding the Essence of Organisation (The Enterprise Engineering Series)

Ingramcontent Ontological Engineering of Information Science

Legal Ontology Engineering: Methodologies, Modelling Trends, and the Ontology of Professional Judicial Knowledge: 3 (Law, Governance and Technology Series, 3)

Legal Ontology Engineering: Methodologies, Modelling Trends, and the Ontology of Professional Judicial Knowledge: 3 (Law, Governance and Technology Series, 3)

Handbook on Ontologies (International Handbooks on Information Systems)

Ontology Modeling in Physical Asset Integrity Management

Ontology, Epistemology, and Teleology for Modeling and Simulation: Philosophical Foundations for Intelligent M&S Applications: 44 (Intelligent Systems Reference Library, 44)

Semantic Management of Middleware: 1 (Semantic Web and Beyond, 1)

Ontology Management: Semantic Web, Semantic Web Services, and Business Applications: 7 (Semantic Web and Beyond, 7)

Software Engineering: A Hands-On Approach

Applied Semantic Web Technologies

Mining Software Engineering Data for Software Reuse (Advanced Information and Knowledge Processing)

Mining Software Engineering Data for Software Reuse (Advanced Information and Knowledge Processing)

Springer - Theory and Applications of Ontology (2 Volumes)

Managing Software Engineering Knowledge

Domain Engineering: Product Lines, Languages, and Conceptual Models