Author and noted computer scientist Timothy Budd has been at the cutting edge of multiparadigm programming research. He has developed a single programming language--Leda-- which can be used to illustrate the benefits of four different programming paradigms. Using Leda, Budd shows in his new book how the unique features of each paradigm can be learned and applied simultaneously through one multiparadigm tool.

Teaching the science and the technology of programming as a unified discipline that shows the deep relationships between programming paradigms. This innovative text presents computer programming as a unified discipline in a way that is both practical and scientifically sound. The book focuses on techniques of lasting value and explains them precisely in terms of a simple abstract machine. The book presents all major programming paradigms in a uniform framework that shows their deep relationships and how and where to use them together. After an introduction to programming concepts, the book presents both well-known and lesser-known computation models ("programming paradigms"). Each model has its own set of techniques and each is included on the basis of its usefulness in practice. The general models include declarative programming, declarative concurrency, message-passing concurrency, explicit state, object-oriented programming, shared-state concurrency, and relational programming. Specialized models include graphical user interface programming, distributed programming, and constraint programming. Each model is based on its kernel language—a simple core language that consists of a small number of programmer-significant elements. The kernel languages are introduced progressively, adding concepts one by one, thus showing the deep relationships between different models. The kernel languages are defined precisely in terms of a simple abstract machine. Because a wide variety of languages and programming paradigms can be modeled by a small set of closely related kernel languages, this approach allows programmer and student to grasp the underlying unity of programming. The book has many program fragments and exercises, all of which can be run on the Mozart Programming System, an Open Source software package that features an interactive incremental development environment.

Following a 13-year tradition of excellence, the 14th ECOOP conference repeated the success of its predecessors. This excellence is certainly due to the level of maturity that object-oriented technology has reached, which warrants its use as a key paradigm in any computerized system. The principles of the object-oriented paradigm and the features of systems, languages, tools, and methodologies based on it are a source of research ideas and solutions to many in all areas of computer science. ECOOP 2000 showed a thriving eld characterized by success on the practical side and at the same time by continuous scienti c growth. Firmly established as a leading forum in the object-oriented arena, ECOOP 2000 received 109 high quality submissions. After a thorough review process, the program committee selected 20 papers, which well re?ect relevant trends in object-oriented research: object modeling, type theory, distribution and coo- ration, advanced tools, programming languages. The program committee, c- sisting of 31 distinguished researchers in object-orientation, met in Milan, Italy, to select the papers for inclusion in the technical program of the conference.

ECOOP 2002 Workshop Reader

This volume constitutes the proceedings of REFLECTION 2001, the Third Int- national Conference on Metalevel Architectures and Separation of Crosscutting Concerns, which was held in Kyoto, September 25-28, 2001. Metalevel architectures and re?ection have drawn the attention of researchers and practitioners throughout computer science. Re?ective and metalevel te- niques are being used to address real-world problems in such areas as: progr- ming languages, operating systems, databases, distributed computing, expert systems and web computing. Separation of concerns has been a guiding principle of software engineering for nearly 30 years, but its known bene?ts are seldom fully achieved in practice. This is primarily because traditional mechanisms are not powerful enough to handle many kinds of concerns that occur in practice. Over the last 10 years, to overcome the limitations of traditional frameworks, many researchers, including several from the re?ection community, have proposed new approaches. For the ?rst time, papers on advanced approaches to separation of concerns were explicitly solicited. Following the success of previous conferences such as IMSA’92 in Tokyo, Re?ection’96 in San Francisco, and Re?ection’99 in Saint Malo, we hope that the conference provided an excellent forum for researchers with a broad range of interests in metalevel architectures, re?ective techniques, and separation of concerns in general.

Computer-based mathematical modeling - the technique of representing and managing models in machine-readable form - is still in its infancy despite the many powerful mathematical software packages already available which can solve astonishingly complex and large models. On the one hand, using mathematical and logical notation, we can formulate models which cannot be solved by any computer in reasonable time - or which cannot even be solved by any method. On the other hand, we can solve certain classes of much larger models than we can practically handle and manipulate without heavy programming. This is especially true in operations research where it is common to solve models with many thousands of variables. Even today, there are no general modeling tools that accompany the whole modeling process from start to finish, that is to say, from model creation to report writing. This book proposes a framework for computer-based modeling. More precisely, it puts forward a modeling language as a kernel representation for mathematical models. It presents a general specification for modeling tools. The book does not expose any solution methods or algorithms which may be useful in solving models, neither is it a treatise on how to build them. No help is intended here for the modeler by giving practical modeling exercises, although several models will be presented in order to illustrate the framework. Nevertheless, a short introduction to the modeling process is given in order to expound the necessary background for the proposed modeling framework.