Environment Modeling-Based Requirements Engineering for Software Intensive Systems provides a new and promising approach for engineering the requirements of software-intensive systems, presenting a systematic, promising approach to identifying, clarifying, modeling, deriving, and validating the requirements of software-intensive systems from well-modeled environment simulations. In addition, the book presents a new view of software capability, i.e. the effect-based software capability in terms of environment modeling.
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Prof. Zhi Jin is a full professor at Peking University. Her research interests include knowledge-based requirements engineering. She has published more than 100 papers in refereed journals and conferences in knowledge engineering and requirements engineering and related topics. She is a published author having written two books; Domain Modeling-Based Software Engineering: A Formal Approach (ISBN: 0-7923-7889-X, Kluwer Academic Publishers) and a computer science textbook in Chinese published by Science Press. She has years of working experience in ontology engineering, knowledge-based requirements engineering, and service-oriented modelling
Environment Modeling-Based Requirements Engineering for Software Intensive Systems presents a systematic approach to identifying, and modeling the requirements of software-intensive systems from well-modeled environment simulations in addition, the book provides a new view of software capability, i.e. the effect-based software capability in terms of environment modeling.
Key features:
Provides novel and systematic methodologies for engineering the requirements of software-intensive systems.
Describes ontologies and easily-understandable notations for modeling software-intensive systems.
Analyses functional and non-functional requirements based on the properties of the software surroundings.
Provides an essential, practical guide and formalization tools for the task of identifying the requirements of software-intensive systems.
Gives system analysts and requirements engineers insight into how to recognize and structure the problems of developing software-intensive systems.
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