Software Engineering Foundations
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A01=Yingxu Wang
AC
Author_Yingxu Wang
autonomic
Category=UMZ
Category=UY
cognitive
cognitive informatics
cognitive organizational modeling
Computational Operations
computing
CWO
denotational mathematics
empirical software research
engineering economics
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eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Formal Language Theories
Generic Engineering Principles
informatics
intelligence
interdisciplinary software theory
Internal Information Processing Mechanisms
Interpersonal Coordination
LTM Establishment
Management Science
Management Science Foundations
Mathematical Model
natural
Optimal Labor Allocation
organization laws
perspective
resource constraints analysis
science
Software
Software Development Organization
software engineering
Software Engineering Experience
Software Engineering Foundations
Software Engineering Practices
Software Engineering Principles
Software Engineering Processes
Software Engineering Projects
Software Engineering Theories
Software Science
Software Science Perspective
Software System
systems
Systems Science Foundations
theories
transdisciplinary theories
unified framework
Yingxu Wang
Product details
- ISBN 9780849319310
- Dimensions: 156 x 234mm
- Publication Date: 09 Aug 2007
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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A groundbreaking book in this field, Software Engineering Foundations: A Software Science Perspective integrates the latest research, methodologies, and their applications into a unified theoretical framework. Based on the author's 30 years of experience, it examines a wide range of underlying theories from philosophy, cognitive informatics, denotational mathematics, system science, organization laws, and engineering economics. The book contains in-depth information, annotated references, real-world problems, heuristics, and research opportunities.
Highlighting the inherent limitations of the historical programming-language-centered approach, the author explores an interdisciplinary approach to software engineering. He identifies fundamental cognitive, organizational, and resource constraints and the need for multi-faceted and transdisciplinary theories and empirical knowledge. He then synergizes theories, principles, and best practices of software engineering into a unified framework and delineates overarching, durable, and transdisciplinary theories as well as alternative solutions and open issues for further research. The book develops dozens of Wang's laws for software engineering and outlooks the emergence of software science.
The author's rigorous treatment of the theoretical framework and his comprehensive coverage of complicated problems in software engineering lay a solid foundation for software theories and technologies. Comprehensive and written for all levels, the book explains a core set of fundamental principles, laws, and a unified theoretical framework.
University of Calgary, Alberta, Canada
