Verification By Error Modeling PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Verification By Error Modeling PDF full book. Access full book title Verification By Error Modeling.
| Author | : Katarzyna Radecka |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 227 |
| Release | : 2005-12-17 |
| Genre | : Technology & Engineering |
| ISBN | : 030648739X |
Download Verification by Error Modeling Book in PDF, ePub and Kindle
This book presents the basis for reusing the test vector generation and simulation for the purpose of implementation verification, to result in a significant timesaving. It brings the results in the direction of merging manufacturing test vector generation and verification.
| Author | : Jan Mendling |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 205 |
| Release | : 2008-10-20 |
| Genre | : Computers |
| ISBN | : 3540892249 |
Download Metrics for Process Models Book in PDF, ePub and Kindle
Business process modeling plays an important role in the management of business processes. As valuable design artifacts, business process models are subject to quality considerations. The absence of formal errors such as deadlocks is of paramount importance for the subsequent implementation of the process. In his book Jan Mendling develops a framework for the detection of formal errors in business process models and the prediction of error probability based on quality attributes of these models (metrics). He presents a precise description of Event-driven Process Chains (EPCs), their control-flow semantics and a suitable correctness criterion called EPC soundness.
| Author | : |
| Publisher | : Springer |
| Total Pages | : 194 |
| Release | : 2009-08-29 |
| Genre | : Computers |
| ISBN | : 9783540892595 |
Download Metrics for Process Models Book in PDF, ePub and Kindle
Business process modeling plays an important role in the management of business processes. As valuable design artifacts, business process models are subject to quality considerations. The absence of formal errors such as deadlocks is of paramount importance for the subsequent implementation of the process. In his book Jan Mendling develops a framework for the detection of formal errors in business process models and the prediction of error probability based on quality attributes of these models (metrics). He presents a precise description of Event-driven Process Chains (EPCs), their control-flow semantics and a suitable correctness criterion called EPC soundness.
| Author | : Victor Oke |
| Publisher | : |
| Total Pages | : 65 |
| Release | : 2015 |
| Genre | : |
| ISBN | : |
Download Model-Based Verification for SIMULINK Design Book in PDF, ePub and Kindle
Testing a Model-Based design is the only way to determine the correctness of the designed model but not enough to conclude that the design is error free. Verification exposes all the design errors and describes the functionality of the system. Assertion based verification helps to determine whether the model obey the actual design requirements. This thesis work is mainly based on verification of a Water Tank control system modeling using SIMULINK model.
| Author | : David Van Campenhout |
| Publisher | : |
| Total Pages | : 306 |
| Release | : 1999 |
| Genre | : |
| ISBN | : |
Download Functional Design Verification for Microprocessors by Error Modeling Book in PDF, ePub and Kindle
| Author | : William L. Oberkampf |
| Publisher | : Cambridge University Press |
| Total Pages | : 782 |
| Release | : 2010-10-14 |
| Genre | : Computers |
| ISBN | : 1139491768 |
Download Verification and Validation in Scientific Computing Book in PDF, ePub and Kindle
Advances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations. The emphasis is placed on models that are described by partial differential and integral equations and the simulations that result from their numerical solution. The methods described can be applied to a wide range of technical fields, from the physical sciences, engineering and technology and industry, through to environmental regulations and safety, product and plant safety, financial investing, and governmental regulations. This book will be genuinely welcomed by researchers, practitioners, and decision makers in a broad range of fields, who seek to improve the credibility and reliability of simulation results. It will also be appropriate either for university courses or for independent study.
| Author | : Christel Baier |
| Publisher | : MIT Press |
| Total Pages | : 994 |
| Release | : 2008-04-25 |
| Genre | : Computers |
| ISBN | : 026202649X |
Download Principles of Model Checking Book in PDF, ePub and Kindle
A comprehensive introduction to the foundations of model checking, a fully automated technique for finding flaws in hardware and software; with extensive examples and both practical and theoretical exercises. Our growing dependence on increasingly complex computer and software systems necessitates the development of formalisms, techniques, and tools for assessing functional properties of these systems. One such technique that has emerged in the last twenty years is model checking, which systematically (and automatically) checks whether a model of a given system satisfies a desired property such as deadlock freedom, invariants, and request-response properties. This automated technique for verification and debugging has developed into a mature and widely used approach with many applications. Principles of Model Checking offers a comprehensive introduction to model checking that is not only a text suitable for classroom use but also a valuable reference for researchers and practitioners in the field. The book begins with the basic principles for modeling concurrent and communicating systems, introduces different classes of properties (including safety and liveness), presents the notion of fairness, and provides automata-based algorithms for these properties. It introduces the temporal logics LTL and CTL, compares them, and covers algorithms for verifying these logics, discussing real-time systems as well as systems subject to random phenomena. Separate chapters treat such efficiency-improving techniques as abstraction and symbolic manipulation. The book includes an extensive set of examples (most of which run through several chapters) and a complete set of basic results accompanied by detailed proofs. Each chapter concludes with a summary, bibliographic notes, and an extensive list of exercises of both practical and theoretical nature.
| Author | : Claus Beisbart |
| Publisher | : Springer |
| Total Pages | : 1074 |
| Release | : 2019-04-09 |
| Genre | : Computers |
| ISBN | : 3319707663 |
Download Computer Simulation Validation Book in PDF, ePub and Kindle
This unique volume introduces and discusses the methods of validating computer simulations in scientific research. The core concepts, strategies, and techniques of validation are explained by an international team of pre-eminent authorities, drawing on expertise from various fields ranging from engineering and the physical sciences to the social sciences and history. The work also offers new and original philosophical perspectives on the validation of simulations. Topics and features: introduces the fundamental concepts and principles related to the validation of computer simulations, and examines philosophical frameworks for thinking about validation; provides an overview of the various strategies and techniques available for validating simulations, as well as the preparatory steps that have to be taken prior to validation; describes commonly used reference points and mathematical frameworks applicable to simulation validation; reviews the legal prescriptions, and the administrative and procedural activities related to simulation validation; presents examples of best practice that demonstrate how methods of validation are applied in various disciplines and with different types of simulation models; covers important practical challenges faced by simulation scientists when applying validation methods and techniques; offers a selection of general philosophical reflections that explore the significance of validation from a broader perspective. This truly interdisciplinary handbook will appeal to a broad audience, from professional scientists spanning all natural and social sciences, to young scholars new to research with computer simulations. Philosophers of science, and methodologists seeking to increase their understanding of simulation validation, will also find much to benefit from in the text.
| Author | : National Research Council |
| Publisher | : National Academies Press |
| Total Pages | : 144 |
| Release | : 2012-07-26 |
| Genre | : Mathematics |
| ISBN | : 0309256348 |
Download Assessing the Reliability of Complex Models Book in PDF, ePub and Kindle
Advances in computing hardware and algorithms have dramatically improved the ability to simulate complex processes computationally. Today's simulation capabilities offer the prospect of addressing questions that in the past could be addressed only by resource-intensive experimentation, if at all. Assessing the Reliability of Complex Models recognizes the ubiquity of uncertainty in computational estimates of reality and the necessity for its quantification. As computational science and engineering have matured, the process of quantifying or bounding uncertainties in a computational estimate of a physical quality of interest has evolved into a small set of interdependent tasks: verification, validation, and uncertainty of quantification (VVUQ). In recognition of the increasing importance of computational simulation and the increasing need to assess uncertainties in computational results, the National Research Council was asked to study the mathematical foundations of VVUQ and to recommend steps that will ultimately lead to improved processes. Assessing the Reliability of Complex Models discusses changes in education of professionals and dissemination of information that should enhance the ability of future VVUQ practitioners to improve and properly apply VVUQ methodologies to difficult problems, enhance the ability of VVUQ customers to understand VVUQ results and use them to make informed decisions, and enhance the ability of all VVUQ stakeholders to communicate with each other. This report is an essential resource for all decision and policy makers in the field, students, stakeholders, UQ experts, and VVUQ educators and practitioners.
| Author | : John A. Sokolowski |
| Publisher | : John Wiley & Sons |
| Total Pages | : 453 |
| Release | : 2010-07-13 |
| Genre | : Mathematics |
| ISBN | : 0470590610 |
Download Modeling and Simulation Fundamentals Book in PDF, ePub and Kindle
An insightful presentation of the key concepts, paradigms, and applications of modeling and simulation Modeling and simulation has become an integral part of research and development across many fields of study, having evolved from a tool to a discipline in less than two decades. Modeling and Simulation Fundamentals offers a comprehensive and authoritative treatment of the topic and includes definitions, paradigms, and applications to equip readers with the skills needed to work successfully as developers and users of modeling and simulation. Featuring contributions written by leading experts in the field, the book's fluid presentation builds from topic to topic and provides the foundation and theoretical underpinnings of modeling and simulation. First, an introduction to the topic is presented, including related terminology, examples of model development, and various domains of modeling and simulation. Subsequent chapters develop the necessary mathematical background needed to understand modeling and simulation topics, model types, and the importance of visualization. In addition, Monte Carlo simulation, continuous simulation, and discrete event simulation are thoroughly discussed, all of which are significant to a complete understanding of modeling and simulation. The book also features chapters that outline sophisticated methodologies, verification and validation, and the importance of interoperability. A related FTP site features color representations of the book's numerous figures. Modeling and Simulation Fundamentals encompasses a comprehensive study of the discipline and is an excellent book for modeling and simulation courses at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the fields of computational statistics, engineering, and computer science who use statistical modeling techniques.
