Knowledge Based Automated Software Engineering

Knowledge Based Automated Software Engineering

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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 authorsa€™ 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.Control Network Programs and Their Execution, In: 8th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and ... Control Network Programming with SPIDER: Dynamic Search Control, In: Knowledge-Based and Intelligent Information and Engineering Systems, Proc. ... J. of Technical Univ. at Plovdiv, Fundamental Sciences and Applications, v.16, book 1, 2011, 217-222. ( Levitin 2007) Levitin, A. Introduction to Design and Analysis of Algorithms, 2nd ed ., Pearson, 2007.

Title:Knowledge Based Automated Software Engineering
Author: Ivan Stanev, Katalina Grigorova
Publisher:Cambridge Scholars Publishing - 2012-03-15

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