Knowledge Based Automated Software Engineering
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Knowledge Based Automated Software Engineering
Author: Katalina Grigorova
language: en
Publisher: Cambridge Scholars Publishing
Release Date: 2012-03-15
The process of developing big information systems is less effective and more resource consuming than software developers expect. The most widely disseminated software engineering methods and tools applied through the life cycle of this process are characterised with a low level of process automation, insufficient component reusability and dissatisfactory final product flexibility. The efficiency of the software development process can be improved with the application of hi-tech IT instruments as: (1) non-formal business model specifications, (2) automated verification and modification of the non-formal specifications related to predefined standardised knowledge bases both for the domain and IT areas, (3) automated generation of the final software product from the verified business model, and (4) incorporation of components set for real time monitoring and tuning within the generated software. This book presents the authors’ views on Knowledge Based Automated Software Engineering (KBASE). It involves the domain scope, the implemented research methods, tools and applications. The KBASE products presented in the book are addressed to the needs of scientists, practitioners and students working in the areas of software engineering, computer science, knowledge representation, artificial intelligence, manufacturing engineering, and education.
Knowledge-based Software Engineering
JCKBSE aims to provide a forum for researchers and practitioners to discuss the latest developments in the areas of knowledge engineering and software engineering. Particular emphasis is placed upon applying knowledge-based methods to software engineering problems. This volume is a collection of contributions of authors from 8 different countries. The book covers a wide range of topics related to knowledge-based or automated software engineering. architecture of knowledge; software and information systems; requirement engineering; domain analysis and modelling; formal and semiformal specifications; knowledge engineering for domain modelling; data mining and knowledge discovery; automating software design and synthesis; object-oriented and other programming paradigms; knowledge-based methods and tools for software engineering, including testing, verification and validation; process management, maintenance and evolution, applied semiotics for knowledge-based software engineering; knowledge systems methodology; development tools and environments; practical applications and experience of software and knowledge engineering; information technology in control, design, production, logistics and management; enterprise modelling and workflow.
Knowledge-Based Software Engineering
Author: Dorothy E. Setliff
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-12-14
Knowledge-Based Software Engineering brings together in one place important contributions and up-to-date research results in this important area. Knowledge-Based Software Engineering serves as an excellent reference, providing insight into some of the most important research issues in the field.