Proceedings
Author :
Publisher :
Page : 378 pages
File Size : 14,46 MB
Release : 1997
Category : Computers
ISBN :
Author :
Publisher :
Page : 378 pages
File Size : 14,46 MB
Release : 1997
Category : Computers
ISBN :
Author : British Library. Document Supply Centre
Publisher :
Page : 836 pages
File Size : 41,21 MB
Release : 2000
Category : Conference proceedings
ISBN :
Author : Frank Van Harmelen
Publisher : IOS Press
Page : 774 pages
File Size : 31,93 MB
Release : 2002
Category : Computers
ISBN : 9781586032579
This volume contains the 137 papers accepted for presentation at the 15th European Conference on Artificial Intelligence (ECAI '02), which is organized by the European Co-ordination Committee on Artificial Intelligence.
Author : Branden University
Publisher :
Page : 464 pages
File Size : 13,3 MB
Release : 1998-01-01
Category : Expert systems (Computer science)
ISBN : 9780964169999
Author : Rose Arny
Publisher :
Page : 1434 pages
File Size : 39,5 MB
Release : 2001
Category : American literature
ISBN :
Author : Coral Calero
Publisher : Springer Science & Business Media
Page : 344 pages
File Size : 25,64 MB
Release : 2006-10-12
Category : Computers
ISBN : 3540345183
This book covers two applications of ontologies in software engineering and software technology: sharing knowledge of the problem domain and using a common terminology among all stakeholders; and filtering the knowledge when defining models and metamodels. By presenting the advanced use of ontologies in software research and software projects, this book is of benefit to software engineering researchers in both academia and industry.
Author : Forrest Shull
Publisher : Springer Science & Business Media
Page : 393 pages
File Size : 19,41 MB
Release : 2007-11-21
Category : Computers
ISBN : 1848000448
This book gathers chapters from some of the top international empirical software engineering researchers focusing on the practical knowledge necessary for conducting, reporting and using empirical methods in software engineering. Topics and features include guidance on how to design, conduct and report empirical studies. The volume also provides information across a range of techniques, methods and qualitative and quantitative issues to help build a toolkit applicable to the diverse software development contexts
Author : Shi Kuo Chang
Publisher : World Scientific
Page : 807 pages
File Size : 42,76 MB
Release : 2002
Category : Computers
ISBN : 9810249748
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.
Author : Meir Kalech
Publisher : World Scientific
Page : 457 pages
File Size : 24,1 MB
Release : 2021-06-15
Category : Computers
ISBN : 9811239932
Software is an integral part of our lives today. Modern software systems are highly complex and often pose new challenges in different aspects of Software Engineering (SE).Artificial Intelligence (AI) is a growing field in computer science that has been proven effective in applying and developing AI techniques to address various SE challenges.This unique compendium covers applications of state-of-the-art AI techniques to the key areas of SE (design, development, debugging, testing, etc).All the materials presented are up-to-date. This reference text will benefit researchers, academics, professionals, and postgraduate students in AI, machine learning and software engineering.Related Link(s)
Author : Stefan Biffl
Publisher : Springer Science & Business Media
Page : 399 pages
File Size : 43,63 MB
Release : 2006-02-23
Category : Computers
ISBN : 3540292632
The IT community has always struggled with questions concerning the value of an organization’s investment in software and hardware. It is the goal of value-based software engineering (VBSE) to develop models and measures of value which are of use for managers, developers and users as they make tradeoff decisions between, for example, quality and cost or functionality and schedule – such decisions must be economically feasible and comprehensible to the stakeholders with differing value perspectives. VBSE has its roots in work on software engineering economics, pioneered by Barry Boehm in the early 1980s. However, the emergence of a wider scope that defines VBSE is more recent. VBSE extends the merely technical ISO software engineering definition with elements not only from economics, but also from cognitive science, finance, management science, behavioral sciences, and decision sciences, giving rise to a truly multi-disciplinary framework. Biffl and his co-editors invited leading researchers and structured their contributions into three parts, following an introduction into the area by Boehm himself. They first detail the foundations of VBSE, followed by a presentation of state-of-the-art methods and techniques. The third part demonstrates the benefits of VBSE through concrete examples and case studies. This book deviates from the more anecdotal style of many management-oriented software engineering books and so appeals particularly to all readers who are interested in solid foundations for high-level aspects of software engineering decision making, i.e., to product or project managers driven by economics and to software engineering researchers and students.