Handbook Of Software Engineering And Knowledge Engineering, Vol 1: Fundamentals
eBook - PDF

Handbook Of Software Engineering And Knowledge Engineering, Vol 1: Fundamentals

Volume I: Fundamentals

  1. 940 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Handbook Of Software Engineering And Knowledge Engineering, Vol 1: Fundamentals

Volume I: Fundamentals

About this book

This is the first handbook to cover comprehensively both software engineering and knowledge engineering - two important fields that have become interwoven in recent years. Over 60 international experts have contributed to the book. Each chapter has been written in such a way that a practitioner of software engineering and knowledge engineering can easily understand and obtain useful information. Each chapter covers one topic and can be read independently of other chapters, providing both a general survey of the topic and an in-depth exposition of the state of the art. Practitioners will find this handbook useful when looking for solutions to practical problems. Researchers can use it for quick access to the background, current trends and most important references regarding a certain topic.The handbook consists of two volumes. Volume One covers the basic principles and applications of software engineering and knowledge engineering.Volume Two will cover the basic principles and applications of visual and multimedia software engineering, knowledge engineering, data mining for software knowledge, and emerging topics in software engineering and knowledge engineering.

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Yes, you can access Handbook Of Software Engineering And Knowledge Engineering, Vol 1: Fundamentals by Shi-kuo Chang in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. PREFACE
  2. CONTENTS
  3. COMPUTER LANGUAGE ADVANCES
  4. FORMAL VERIFICATION TECHNIQUES FOR COMPUTER COMMUNICATION SECURITY PROTOCOLS
  5. SOFTWARE ARCHITECTURE
  6. ENGINEERING ACCESS CONTROL IN DISTRIBUTED APPLICATIONS
  7. SOFTWARE MAINTENANCE
  8. REQUIREMENTS ENGINEERING
  9. SOFTWARE RELIABILITY ENGINEERING
  10. TECHNICAL REVIEWS
  11. REENGINEERING AND PROCESSES
  12. USABILITY IN THE SOFTWARE LIFE CYCLE
  13. THE SOFTWARE PROCESS: MODELING, EVALUATION AND IMPROVEMENT
  14. SOFT WARE MEASUREMENT
  15. SOFTWARE ENGINEERING STANDARDS: REVIEW AND PERSPECTIVES
  16. DOMAIN ENGINEERING
  17. INCONSISTENCY MANAGEMENT IN SOFTWARE ENGINEERING: SURVEY AND OPEN RESEARCH ISSUES
  18. INCREMENTAL DEVELOPMENT - TERMINOLOGY AND GUIDELINES
  19. METRICS FOR IDENTIFYING CRITICAL COMPONENTS IN SOFTWARE PROJECTS
  20. MESSAGE SEQUENCE CHARTS IN THE SOFTWARE ENGINEERING PROCESS
  21. PROGRAM SLICING: PRECISE CHOPS EXTRACTION APPROACHES
  22. A LARGE SCALE NEURAL NETWORK AND ITS APPLICATIONS
  23. AGENT-ORIENTED SOFTWARE ENGINEERING
  24. SOFTWARE CONFIGURATION MANAGEMENT IN SOFTWARE AND HYPERMEDIA ENGINEERING: A SURVEY
  25. CASE-BASED REASONING
  26. THE KNOWLEDGE MODELING PARADIGM IN KNOWLEDGE ENGINEERING
  27. KNOWLEDGE DISCOVERY AND DATA MINING IN DATABASES
  28. KNOWLEDGE-BASED INFORMATION ACCESS
  29. LEARNING SOFTWARE ORGANIZATIONS
  30. ON SOFTWARE ENGINEERING AND LEARNING THEORY FACILITATING LEARNING IN SOFTWARE QUALITY IMPROVEMENT PROGRAMS
  31. WEB-BASED LEARNING ENVIRONMENTS: TOOLS AND ENGINEERING ISSUES
  32. SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING ISSUES IN BIOINFORMATICS
  33. CONCEPTUAL MODELING IN SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING: CONCEPTS, TECHNIQUES AND TRENDS
  34. PATTERN-BASED SOFTWARE RE-ENGINEERING
  35. RATIONALE MANAGEMENT IN SOFTWARE ENGINEERING
  36. TASK MODELS IN INTERACTIVE SOFTWARE SYSTEMS
  37. PRACTICAL MACHINE LEARNING FOR SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
  38. EXPLORING ONTOLOGIES
  39. ON THE USE OF LOGICAL ABDUCTION IN SOFTWARE ENGINEERING
  40. INDEX