Domain Modeling-Based Software Engineering: A Formal Approach

Many approaches have been proposed to enhance software productivity and reliability. These approaches typically fall into three categories: the engineering approach, the formal approach, and the knowledge-based approach. The optimal gain in software productivity cannot be obtained if one relies on o...

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Bibliographic Details
Main Authors: Ruqian Lu (Author), Zhi Jin (Author)
Format: Electronic eBook
Language:English
Published: New York, NY Springer US 2000
Edition:1st ed. 2000
Series:The International Series on Asian Studies in Computer and Information Science 8
Subjects:
Online Access:UBY01
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Summary:Many approaches have been proposed to enhance software productivity and reliability. These approaches typically fall into three categories: the engineering approach, the formal approach, and the knowledge-based approach. The optimal gain in software productivity cannot be obtained if one relies on only one of these approaches. Thus, the integration of different approaches has also become a major area of research. No approach can be said to be perfect if it fails to satisfy the following two criteria. Firstly, a good approach should support the full life cycle of software development. Secondly, a good approach should support the development of large-scale software for real use in many application domains. Such an approach can be referred to as a five-in-one approach. The authors of this book have, for the past eight years, conducted research in knowledge-based software engineering, of which the final goal is to develop a paradigm for software engineering which not only integrates the three approaches mentioned above, but also fulfils the two criteria on which the five-in-one approach is based. Domain Modeling- Based Software Engineering: A Formal Approach explores the results of this research. Domain Modeling-Based Software Engineering: A Formal Approach will be useful to researchers of knowledge-based software engineering, students and instructors of computer science, and software engineers who are working on large-scale projects of software development and want to use knowledge-based development methods in their work
Physical Description:1 Online-Ressource (XIX, 347 p)
ISBN:9781461544876
DOI:10.1007/978-1-4615-4487-6

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