Software Prototyping In Data And Knowledge Engineering

This monograph describes an innovative prototyping framework for data and knowledge intensive systems. The proposed approach will prove especially useful for advanced and research-oriented projects that aim to develop a traditional database perspective into fully-fledged advanced database approaches and knowledge engineering technologies. The book is organised in two parts. The first part, comprising chapters 1 to 4, provides an introduction to the concept of prototyping, to database and knowledge-based technologies, and to the main issues involved in the integration of data and knowledge engineering. The second part, comprising chapters 5 to 12, illustrates the proposed approach in technical detail. Audience: This volume will be of interest to researchers in the field of databases and knowledge engineering in general, and for software designers and knowledge engineers who aim to expand their expertise in data and knowledge intensive systems.

The papers collected in the book were invited by the editors as tutorial courses or keynote speeches for the Fourth International Conference on Software Engineering and Knowledge Engineering. It was the editors' intention that this book should offer a wide coverage of the main topics involved with the specifications, prototyping, development and maintenance of software systems and knowledge-based systems. The main issues in the area of software engineering and knowledge engineering are addressed and for each analyzed topic the corresponding of state research is reported. Contents:An Introduction to Software Architecture (D Garland & M Shaw)Modeling the Software Development Process (V Ambriola & C Montangero)Knowledge Representation in Current Design Methods (B I Blum)Unifying Multi-Paradigms in Software System Design (Y Deng & S K Chang)What is Logic Prgramming Good for in Software Engineering? (P Ciancarini & G Levi)Parallel Execution of Real-Time Petri Nets (C Ghezzi et al.)Introduction to Information Retrieval for Software Reuse (Y S Maarek)Issues in the Verification and Validation of Knowedge-Based Systems (R M O'Keefe) Readership: Computer scientists. keywords:

This volume focuses on current and future trends in the interplay between software engineering and artificial intelligence.This interplay is now critical to the success of both disciplines, and it also affects a wide range of subject areas. The articles in this volume survey the significant work that has been accomplished, describe the state of the art, analyze the current trends, and predict which future directions have the most potential for success. Areas covered include requirements engineering, real-time systems, reuse technology, development environments and meta-environments, process representations, safety-critical systems, and metrics and measures for processes and products.

The interplay of artificial intelligence and software engineering has been an interesting and an active area in research institution and industry. This book covers the state of the art in the use of knowledge-based approaches for software specification, design, implementation, testing and debugging. Starting with an introduction to various software engineering paradigms and knowledge-based software systems, the book continues with the discussion of using hybrid knowledge representation as a basis to specify software requirements, to facilitate specification analysis and transformation of real-time distributed software systems. A formal requirements specification language using non-monotonic logic, temporal logic, frames and production systems for new software engineering paradigms (such as rapid prototyping, operational specification and transformational implementation) is also discussed in detail. Examples from switching and other applications are used to illustrate the requirements language. Finally, the development, specification and verification of knowledge-based systems are investigated.

Prototyping is an approach used in evolutionary system development. In this book, the authors show which forms of prototyping can be employed to tackle which problems. They take a look at the tools used in everyday software development with a view to determining their suitability for prototyping, and attempt to elucidate prototyping as a methodological concept. Part I of the book looks at prototyping as an approach for constructing and evaluating models. Traditional approaches and phase-oriented life cycle plans are discussed. Prototyping overcomes fundamental problems associated with life cycle plans. The authors present their own concept of evolutionary system development. Part II shows to what extent technical support of evolutionary system development is possible. Various tools for supporting prototyping are discussed and prospective trends are indicated. Criteria are listed to help the reader choose between the various development environments currently available or likely to become available in the near future. Case studies are used to illustrate how prototype construction can be integrated in software projects.

This Concise Encyclopedia of Software Engineering is intended to provide compact coverage of the knowledge relevant to the practicing software engineer. The content has been chosen to provide an introduction to the theory and techniques relevant to the software of a broad class of computer applications. It is supported by examples of particular applications and their enabling technologies. This Encyclopedia will be of value to new practitioners who need a concise overview and established practitioners who need to read about the "penumbra" surrounding their own specialities. It will also be useful to professionals from other disciplines who need to gain some understanding of the various aspects of software engineering which underpin complex information and control systems, and the thinking behind them.

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.