In the world of modern engineering, rigorous and definite design methodologies are needed. However, many parts of engineering design are performed in either an ad-hoc manner or based on the intuition of the engineer. This is the first book to look at both stages of the design process – conceptual design and detailed design – and detail design methodologies for every step of the design process. Case studies show how practical design problems can be solved with analytic design methods. This book is an excellent introduction to the subject. The book’s practical focus will make the book useful to practicing engineers as a practical handbook of design.

A comprehensive treatment of systems and software testing using state of the art methods and tools This book provides valuable insights into state of the art software testing methods and explains, with examples, the statistical and analytic methods used in this field. Numerous examples are used to provide understanding in applying these methods to real-world problems. Leading authorities in applied statistics, computer science, and software engineering present state-of-the-art methods addressing challenges faced by practitioners and researchers involved in system and software testing. Methods include: machine learning, Bayesian methods, graphical models, experimental design, generalized regression, and reliability modeling. Analytic Methods in Systems and Software Testing presents its comprehensive collection of methods in four parts: Part I: Testing Concepts and Methods; Part II: Statistical Models; Part III: Testing Infrastructures; and Part IV: Testing Applications. It seeks to maintain a focus on analytic methods, while at the same time offering a contextual landscape of modern engineering, in order to introduce related statistical and probabilistic models used in this domain. This makes the book an incredibly useful tool, offering interesting insights on challenges in the field for researchers and practitioners alike. Compiles cutting-edge methods and examples of analytical approaches to systems and software testing from leading authorities in applied statistics, computer science, and software engineering Combines methods and examples focused on the analytic aspects of systems and software testing Covers logistic regression, machine learning, Bayesian methods, graphical models, experimental design, generalized regression, and reliability models Written by leading researchers and practitioners in the field, from diverse backgrounds including research, business, government, and consulting Stimulates research at the theoretical and practical level Analytic Methods in Systems and Software Testing is an excellent advanced reference directed toward industrial and academic readers whose work in systems and software development approaches or surpasses existing frontiers of testing and validation procedures. It will also be valuable to post-graduate students in computer science and mathematics.

The Analytical Methods Committee of the Royal Society of Chemistry has for many years been involved in national and international efforts to establish a comprehensive framework for achieving appropriate quality in chemical measurement. This handbook attempts to select or define robust procedures that ensure the best use of resources and enable laboratories to generate consistent, reliable data. Written in concise, easy-to-read language and illustrated with worked examples, it is a guide to current best practice and establishes a control framework for the development and validation of laboratory-based analytical methods. Topics include samples and sampling, method selection, equipment calibration and qualification, method development and validation, evaluation of data and statistical approaches for method performance and comparison. Valid Analytical Methods and Procedures will be welcomed by many organisations throughout the world who are required to prove that the validity of their analytical results can be established beyond reasonable doubt.

The Routledge Companion to Design Research offers a comprehensive examination of design research, celebrating the plurality of design research and the wide range of conceptual, methodological, technological and theoretical approaches evident in contemporary design research. This volume comprises 39 original and high quality design research chapters from contributors around the world, with offerings from the vast array of disciplines in and around modern design praxis, including areas such as industrial and product design, visual communication, interaction design, fashion design, service design, engineering and architecture. The Companion is divided into five distinct sections with chapters that examine the nature and process of design research, the purpose of design research, and how one might embark on design research. They also explore how leading design researchers conduct their design research through formulating and asking questions in novel ways, and the creative methods and tools they use to collect and analyse data. The Companion also includes a number of case studies that illustrate how one might best communicate and disseminate design research through contributions that offer techniques for writing and publicising research. The Routledge Companion to Design Research will have wide appeal to researchers and educators in design and design-related disciplines such as engineering, business, marketing, computing, and will make an invaluable contribution to state-of-the-art design research at postgraduate, doctoral, and post-doctoral levels and teaching across a wide range of different disciplines.

"Universal Methods of Design is an immensely useful survey of research and design methods used by today's top practitioners, and will serve as a crucial reference for any designer grappling with really big problems. This book has a place on every designer's bookshelf, including yours!" —David Sherwin, Principal Designer at frog and author of Creative Workshop: 80 Challenges to Sharpen Your Design Skills "Universal Methods of Design is a landmark method book for the field of design. This tidy text compiles and summarizes 100 of the most widely applicable and effective methods of design—research, analysis, and ideation—the methods that every graduate of a design program should know, and every professional designer should employ. Methods are concisely presented, accompanied by information about the origin of the technique, key research supporting the method, and visual examples. Want to know about Card Sorting, or the Elito Method? What about Think-Aloud Protocols? This book has them all and more in readily digestible form. The authors have taken away our excuse for not using the right method for the job, and in so doing have elevated its readers and the field of design. UMOD is an essential resource for designers of all levels and specializations, and should be one of the go-to reference tools found in every designer’s toolbox." —William Lidwell, author of Universal Principles of Design, Lecturer of Industrial Design, University of Houston This comprehensive reference provides a thorough and critical presentation of 100 research methods, synthesis/analysis techniques, and research deliverables for human centered design, delivered in a concise and accessible format perfect for designers, educators, and students. Whether research is already an integral part of a practice or curriculum, or whether it has been unfortunately avoided due to perceived limitations of time, knowledge, or resources, Universal Methods of Design serves as an invaluable compendium of methods that can be easily referenced and utilized by cross-disciplinary teams in nearly any design project. This essential guide: - Dismantles the myth that user research methods are complicated, expensive, and time-consuming - Creates a shared meaning for cross-disciplinary design teams - Illustrates methods with compelling visualizations and case studies - Characterizes each method at a glance - Indicates when methods are best employed to help prioritize appropriate design research strategies Universal Methods of Design distills each method down to its most powerful essence, in a format that will help design teams select and implement the most credible research methods best suited to their design culture within the constraints of their projects.

Current practice in mechanical product description and computational processing is rooted in the theory of solid modeling whose principles were established almost four decades ago. Despite providing a concrete foundation for computerizing the product development process at the time, the limited capacity of the traditional models to answer the growing design and manufacturing needs is only recently being recognized in the scientific and engineering communities. I propose an alternative approach that employs spatial functions (i.e., 3D signals) instead of (or in addition to) topological pointsets in the Euclidean 3-space to abstract physical objects and their various geometric, physical, and material properties. The central benefit of this new approach is its great promise and potential extensibility in response to the emerging needs for more meaningful form-function correlations (e.g., for conceptual design) and more powerful tools for modeling new materials (e.g., knitted composites) and processes (e.g., additive manufacturing). This requires a paradigm shift from 'explicit' descriptions equipped with 'combinatorial' methods--e.g., combinatorial intersection test between objects modeled as r-sets, approximated by sphere trees, and tested using set-theoretic operations that exploit efficient tree traversal--to 'implicit' descriptions equipped with 'analytic' methods--e.g., analytic intersection test between objects modeled as density functions, approximated by frequency domain samples, and tested using measure-theoretic operations that are streamlined via fast Fourier transforms (FFT). The results obtained so far suggest that the proposed approach is a powerful unifying alternative to the conventional approaches to geometric computing and overcomes some of the key shortcomings of the traditional models. It opens up new promising theoretical and computational directions for future research in the nascent but emerging field of analytic solid geometry. I hope that the early-stage results in this thesis will inspire other researchers to develop more rigorous formal models and that it will eventually encourage broad industrial adoption of the analytic techniques into future generations of the product life-cycle management (PLM) software.