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Annotation The 55 papers cover testing, requirements modelling, concurrency, object-oriented development, software process, distributed systems, development environments, formal methods, quality assurance and reliability, reuse, specification, maintenance, information systems, and reasoning and verification. The keynote addresses discuss software systems engineering from domain analysis via requirements capture to software architectures; and communication, collaboration, and cooperation in software development. The third keynote is not included in the proceedings. No subject index. Annotation copyright by Book News, Inc., Portland, OR.
This book constitutes the proceedings of the 5th European Software Engineering Conference, ESEC '95, held in Sitges near Barcelona, Spain, in September 1995. The ESEC conferences are the premier European platform for the discussion of academic research and industrial use of software engineering technology. The 29 revised full papers were carefully selected from more than 150 submissions and address all current aspects of relevance. Among the topics covered are business process (re-)engineering, real-time, software metrics, concurrency, version and configuration management, formal methods, design process, program analysis, software quality, and object-oriented software development.
This volume contains the papers presented at the Third International Conference on Object Oriented Information Systems (00lS'96) which was held at South Bank University, London. The keynote addresses, by Professor Colette Roland and Mr Ian Graham, are also included. The acceptance rate for papers was around 47%. The papers for the Industry Day were invited papers. The keynote paper by Professor Roland analyses the challenges in object modelling, particularly the impact of requirements engineering for conceptual modelling. She suggests innovative research perspectives to enhance and extend object oriented approaches in order to deal with the emerging area of requirements engineering. The keynote paper presented by Mr. Graham focuses on the problems and solutions for adopting use cases. In his paper, Graham illustrates the theoretical issues and practical problems of use cases, and highlights them using examples. The papers included in this volume cover different aspects of object modelling, object oriented software development, object databases, and interoperability. In the modelling session, Ram, et al. outline an extended object model to tackle the problems of capturing complex requirements of office information systems. Simons' paper concentrates on core object modelling concepts and presents a mathematical theory of class.
Method Engineering focuses on the design, construction and evaluation of methods, techniques and support tools for information systems development It addresses a number of important topics, including: method representation formalisms; meta-modelling; situational methods; contingency approaches; system development practices of method engineering; terminology and reference models; ontologies; usability and experience reports; and organisational support and impact.
Formal methods have been established as the rigorous engineering methodology for the system development. Applying formal methods to a large and complex system development often requires the modelling of different aspects of such a system. For instance, complex systems (such as integrated avionics systems, engine control software) can involve functional and timing requirements that must be eventually implemented as executing code on a communicating distributed topology. This book contains the papers presented at the First International Workshop on Integrated Formal Methods, held at the University of York in June 1999. The conference provided a forum for the discussion of theoretical aspects of combing behavioural and state-based formalisms and practical solutions to the industrial problems of this approach.
This book constitutes the refereed proceedings of the 4th International Conference on Formal Engineering methods, ICFEM 2002, held in Shanghai, China, in October 2002. The 43 revised full papers and 16 revised short papers presented together with 5 invited contributions were carefully reviewed and selected from a total of 108 submissions. The papers are organized in topical sections on component engineering and software architecture, method integration, specification techniques and languages, tools and environments, refinement, applications, validation and verification, UML, and semantics.
In the past two years, the Smalltalk and Java in Industry and Education C- ference (STJA) featured a special track on generative programming, which was organized by the working group \Generative and Component-Based Software Engineering" of the \Gesellschaft fur ̈ Informatik" FG 2.1.9 \Object-Oriented Software Engineering." This track covered a wide range of related topics from domain analysis, software system family engineering, and software product - nes, to extendible compilers and active libraries. The talks and keynotes directed towards this new software engineering paradigm received much attention and - terest from the STJA audience. Hence the STJA organizers suggested enlarging this track, making it more visible and open to wider, international participation. This is how the GCSE symposium was born. The rst GCSE symposium attracted 39 submissions from all over the world. This impressive number demonstrates the international interest in generative programming and related elds. After a careful review by the program comm- tee, fteen papers were selected for presentation. We are very grateful to the members of the program committee, all of them renowned experts, for their dedication in preparing thorough reviews of the submissions. Special thanks go to Elke Pulvermuller ̈ and Andreas Speck, who proposed and organized a special conference event, the Young Researches Workshop (YRW). This workshop provided a unique opportunity for young scientists and Ph.D.
Machine learning deals with the issue of how to build computer programs that improve their performance at some tasks through experience. Machine learning algorithms have proven to be of great practical value in a variety of application domains. Not surprisingly, the field of software engineering turns out to be a fertile ground where many software development and maintenance tasks could be formulated as learning problems and approached in terms of learning algorithms. This book deals with the subject of machine learning applications in software engineering. It provides an overview of machine learning, summarizes the state-of-the-practice in this niche area, gives a classification of the existing work, and offers some application guidelines. Also included in the book is a collection of previously published papers in this research area.
This book constitutes the proceedings of the 17th International Conference on Theoretical Aspects of Software Engineering, TASE 2023, held in Bristol, UK, July 4–6, 2023. The 19 full papers and 2 short papers included in this book were carefully reviewed and selected from 49 submissions. They cover the following areas: distributed and concurrent systems; cyber-physical systems; embedded and real-time systems; object-oriented systems; quantum computing; formal verification and program semantics; static analysis; formal methods; verification and testing for AI systems; and AI for formal methods.
This unique volume is the first publication on software engineering and computational intelligence (CI) viewed as a synergistic interplay of neurocomputing, granular computation (including fuzzy sets and rough sets), and evolutionary methods. It presents a unified view of CI in the context of software engineering. The book addresses a number of crucial issues: what is CI, what role does it play in software development, how are CI elements built into successive phases of the software life cycle, and what is the role played by CI in quantifying fundamental features of software artifacts? With contributions from leading researchers and practitioners, the book provides the reader with a wealth of new concepts and approaches, complete algorithms, in-depth case studies, and thought-provoking exercises. The topics coverage include neurocomputing, granular as well as evolutionary computing, object-oriented analysis and design in software engineering. There is also an extensive bibliography.