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.
List of Figures. List of Tables. Foreword. Acknowledgments. Part I: Introduction. 1. Challenge of the ERA. Part II: Domain Analysis and Domain Modeling. 2. Ontology-Oriented Domain Analysis: The Foundation. 3. Ontology-Oriented Domain Analysis: The Dynamics. Part III: The Knowledge based Software Development. 4. Automating the Requirement Analysis. 5. OORA: Ontology Oriented Requirement Analysis. 6. Planning Software Architecture. Part IV: The Virtual Enterprise. 7. Intelligent Information Service. 8. Software Reuse and System Evolution. Part V: A Summary. 9. Summary and Assessment.
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.
I Introduction.- 1. Challenge of The Era.- II Domain Analysis and Domain Modeling.- 2. Ontology-Oriented Domain Analysis: The Foundation.- 3. Ontology-Oriented Domain Analysis: The Dynamics.- III The Knowledge based Software Development.- 4. Automating The Rrequirement Analysis.- 5. OORA: Ontology Oriented Requirement Analysis.- 6. Planning Software Architecture.- IV The Virtual Enterprise.- 7. Intelligent Information Service.- 8. Software Reuse And System Evolution.- V A Summary.- 9. Summary And Assessment.
Inhaltsverzeichnis
List of Figures. List of Tables. Foreword. Acknowledgments. Part I: Introduction. 1. Challenge of the ERA. Part II: Domain Analysis and Domain Modeling. 2. Ontology-Oriented Domain Analysis: The Foundation. 3. Ontology-Oriented Domain Analysis: The Dynamics. Part III: The Knowledge based Software Development. 4. Automating the Requirement Analysis. 5. OORA: Ontology Oriented Requirement Analysis. 6. Planning Software Architecture. Part IV: The Virtual Enterprise. 7. Intelligent Information Service. 8. Software Reuse and System Evolution. Part V: A Summary. 9. Summary and Assessment.
Klappentext
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.
