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Domain Modeling-based Software Engineering

RRP $110.00

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Many approaches have been proposed to enhance software productivity and reliability. These approaches typically fall into three categories: the engineering approach, the formal approach, and the knowledge-based approach. The optimal gain in software productivity cannot be obtained if one relies on only one of these approaches. Thus, the integration of different approaches has also become a major area of research.
No approach can be said to be perfect if it fails to satisfy the following two criteria. Firstly, a good approach should support the full life cycle of software development. Secondly, a good approach should support the development of large-scale software for real use in many application domains. Such an approach can be referred to as a five-in-one approach.
The authors of this book have, for the past eight years, conducted research in knowledge-based software engineering, of which the final goal is to develop a paradigm for software engineering which not only integrates the three approaches mentioned above, but also fulfils the two criteria on which the five-in-one approach is based. Domain Modeling- Based Software Engineering: A Formal Approach explores the results of this research.
Domain Modeling-Based Software Engineering: A Formal Approach will be useful to researchers of knowledge-based software engineering, students and instructors of computer science, and software engineers who are working on large-scale projects of software development and want to use knowledge-based development methods in their work.


Decision-aiding Software And Legal Decision-making

RRP $256.99

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The use of microcomputers as decision aids in law practice is increasing rapidly. Nagel here shows how developments in software over the last few years are making microcomputers practically indispensable to lawyers as decision aids. This is in contrast to his earlier book on Microcomputers as Decision Aids in Law Practice. It dealt speculatively with ways in which decision-aiding software could be used by lawyers for judicial prediction, litigation strategy, allocating scarce resources, and negotiation-mediation. The book is divided into three parts covering general developments, specific lawyer skills, and application to all fields of law. The first part previews various uses of decision-aiding software by practicing lawyers, including a general discussion of the potential and actual benefits of such software. How decision-aiding software enhances specific lawyer skills comprises the second and largest part of the work. Among the topics discussed are computer-aided counseling, computer-aided mediation, legal policy evaluation and computer-aided advocacy, law prediction, and legal administration. In the third part, Nagel assesses applications of decision-aiding software to all fields of law, with an emphasis on contracts, property, torts, family law, criminal law, constitutional law, economic regulation, international law, civil procedure, and criminal procedure. In a provocative concluding chapter, he deals with the thorny issues of individual ethics and professional responsibility in the context of microcomputers. Because decision-aiding software encourages decision makers to be much more explicit about their goals than they otherwise would be, its use raises questions as to whose goals should be pursued and to what degree. This is a nuts-and-bolts guidebook that will be a valuable tool for practicing attorneys with some knowledge of microcomputers and is recommended reading for legal scholars and law students.


Python For Software Design

RRP $362.99

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Python for Software Design is a concise introduction to software design using the Python programming language.

Intended for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. Some of the ideas students find most challenging, like recursion and object-oriented programming, are divided into a sequence of smaller steps and introduced over the course of several chapters. The focus is on the programming process, with special emphasis on debugging.

The book includes a wide range of exercises, from short examples to substantial projects, so that students have ample opportunity to practice each new concept.

About the Author

Allen B. Downey, Ph.D., is an Associate Professor of Computer Science at the Olin College of Engineering in Needham, Massachusetts. He has taught at Wellesley College, Colby College, and UC Berkeley. He has a doctorate in computer science from UC Berkeley and a Master's degree from MIT. Dr Downey is the author of a previous version of this book, titled How to Think Like a Computer Scientist : Learning with Python , which he self-published in 2001.


Computer Architecture

RRP $80.00

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This book examines computer architecture, computability theory, and the history of computers from the perspective of minimalist computing - a framework in which the instruction set consists of a single instruction. This approach is different than that taken in any other computer architecture text, and it is a bold step. The audience for this book is researchers, computer hardware engineers, software engineers, and systems engineers who are looking for a fresh, unique perspective on computer architecture. Upper division undergraduate students and early graduate students studying computer architecture, computer organization, or embedded systems will also find this book useful. A typical course title might be "Special Topics in Computer Architecture." The organization ofthe book is as follows. First, the reasons for studying such an "esoteric" subject are given. Then, the history and evolution of instruction sets is studied with an emphasis on how modern computing has features ofone instruction computing. Also, previous computer systems are reviewed to show how their features relate to one instruction computers. Next, the primary forms of one instruction set computing are examined. The theories of computation and of Turing machines are also reviewed to examine the theoretical nature of one instruction computers. Other processor architectures and instruction sets are then mapped into single instructions to illustrate the features of both types of one instruction computers. In doing so, the features of the processor being mapped are highlighted.


Intellectual Property In Electronics And Software

RRP $368.99

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The software, communications and electronics markets are among the most innovative and competitive industries in the world. Robust competition means that developers and manufacturers of software, mobile phones, gaming devices, computers, digital cameras and other consumer electronics and appliances must leverage their IP rights to sustain competitive advantage. However, this can be difficult, as much innovation takes place at the intersection of patent, design and copyright law; and although much law is harmonised, there are still significant national variations both in law and in practice. Intellectual Property in Electronics and Software is a new title designed to provide practical guidance on the IP issues affecting companies working in this area. A unique compendium, it addresses the key issues of IP law in the major jurisdictions worldwide where software and electronics are developed and sold as they impact on software and electronics companies. Topics covered include the challenges of obtaining protection; software protection and the limits of patentability; patent strategy, including approaches to patent drafting to maximise protection; standards setting and reasonable and non-discriminatory licensing; open source software; and other forms of protection such as unfair competition and design rights. Written by a team of leading specialists in IP law, the book will serve as an invaluable guide to navigating the complex and overlapping rights which protect innovation in this field.



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