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Domain Modeling-based Software Engineering
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.
As with any art, science, or discipline, natural talent is only part of the equation. Consistent success stems from honing your skills, cultivating good techniques, and hard work. Design engineering, a field often considered an intuitive process not amenable to scientific investigation, is no exception. Providing descriptive theory, broad context, and practical examples, Design Engineering: A Manual for Enhanced Creativity explores how to quantify creativity, codify inspiration, and document a process seemingly based solely on intuition.
The authors discuss how to clarify the design task, conceptualize candidate solutions, and search for alternatives. They delineate how these phases fit into an industrial context, including engineering product development, and what to consider during design engineering to satisfy all customers. The book discusses activities and methods for performing engineering design work in a rational, reviewable, and documented way, increasing the likelihood of finding an optimal solution. The presentation covers substantiated use of intuition and opportunism as an integral part of rational, systematic, and methodical designing. It examines the influence of other topics on the work, such as psychology, computers, teamwork, application of methods, and education. The authors recommend that results from these less systematic activities be brought into the rational and systematic framework to document the results.
Based on the authors' extensive industrial experience, the book elucidates a coherent body of knowledge of design engineering. The book clearly details an easily applicable theory that not only gives you solid design tools, but can also be adapted to any existing design situation.
Engineering Uncertainty And Risk Analysis
An integrated coverage of probability, statistics, Monte Carlo simulation, inferential statistics, design of experiments, systems reliability, fitting random data to models, analysis of variance, stochastic processes, and stochastic differential equations for engineers and scientists. The author for first time presents an introduction to the broad field of applied engineering uncertainty analysis in one comprehensive, friendly, coverage.
Each concept is illustrated with several examples of relevance in engineering applications (no cards, colored balls, or dice):
- 478 pages; 177 solved examples; 147 proposed problems; 174 illustrations, 69 short computer programs; and 51 data and statistical tables.
- Clear presentation of concepts. Practical engineering examples. No cards, no dice, no colored balls.
- Prepares the reader for today's problems in engineering analysis, modeling, and design under uncertainty.
- This edition includes new research advances in nonlinear stochastic equations; simple methods to solve and graph boundary-value problems in several dimensions.
- Integrated treatment of probability, statistics, and stochastic modeling.
- Includes numerical (Monte Carlo) simulations and analytical modeling.
- Intuitive and graphical introduction to stochastic processes.
- Practical introduction to applied stochastic differential equations.
Searching For Great White Sharks
Most people avoid great white sharks, but shark divers go looking for them! Diver and photographer Jeff Rotman goes to extremes to find and photograph great whites in their natural habitats. It takes a shark cage, a blood and fish recipe, patience, and courage to get up close photos of these powerful hunters. Discover the secrets of the great white, and what it s like to meet one face to face."
The Engineer And The Scandal
The Engineer and the Scandals offers both an in-depth study of a critical step in the evolution of the theory of porous media and an absorbing tale of interpersonal dispute and ultimate tragedy involving two key theorists. Both working at the Technische Hochschule in Vienna, Karl von Terzaghi, `the father of modern soil mechanics,' and Paul Fillunger engaged in a long disagreement in the 1930s over the handling of the physical problems in porous bodies. The ugly confrontation with its tragic end was a scandal in many respects, not only in Vienna but throughout the international engineering community, and perhaps a microcosm of wider unrest and upheaval in contemporaneous Middle Europe. Using biographical and scientific details, this book brings to life these diametrically opposed personalities, their clash of ideas and styles, and the sad consequences.
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