What Is Model Based Approach


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How to Engineer Software


How to Engineer Software

Author: Steve Tockey

language: en

Publisher: John Wiley & Sons

Release Date: 2019-09-10


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A guide to the application of the theory and practice of computing to develop and maintain software that economically solves real-world problem How to Engineer Software is a practical, how-to guide that explores the concepts and techniques of model-based software engineering using the Unified Modeling Language. The author—a noted expert on the topic—demonstrates how software can be developed and maintained under a true engineering discipline. He describes the relevant software engineering practices that are grounded in Computer Science and Discrete Mathematics. Model-based software engineering uses semantic modeling to reveal as many precise requirements as possible. This approach separates business complexities from technology complexities, and gives developers the most freedom in finding optimal designs and code. The book promotes development scalability through domain partitioning and subdomain partitioning. It also explores software documentation that specifically and intentionally adds value for development and maintenance. This important book: Contains many illustrative examples of model-based software engineering, from semantic model all the way to executable code Explains how to derive verification (acceptance) test cases from a semantic model Describes project estimation, along with alternative software development and maintenance processes Shows how to develop and maintain cost-effective software that solves real-world problems Written for graduate and undergraduate students in software engineering and professionals in the field, How to Engineer Software offers an introduction to applying the theory of computing with practice and judgment in order to economically develop and maintain software.

Practical Model-Based Testing


Practical Model-Based Testing

Author: Mark Utting

language: en

Publisher: Elsevier

Release Date: 2010-07-27


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Practical Model-Based Testing gives a practical introduction to model-based testing, showing how to write models for testing purposes and how to use model-based testing tools to generate test suites. It is aimed at testers and software developers who wish to use model-based testing, rather than at tool-developers or academics. The book focuses on the mainstream practice of functional black-box testing and covers different styles of models, especially transition-based models (UML state machines) and pre/post models (UML/OCL specifications and B notation). The steps of applying model-based testing are demonstrated on examples and case studies from a variety of software domains, including embedded software and information systems. From this book you will learn: - The basic principles and terminology of model-based testing - How model-based testing differs from other testing processes - How model-based testing fits into typical software lifecycles such as agile methods and the Unified Process - The benefits and limitations of model-based testing, its cost effectiveness and how it can reduce time-to-market - A step-by-step process for applying model-based testing - How to write good models for model-based testing - How to use a variety of test selection criteria to control the tests that are generated from your models - How model-based testing can connect to existing automated test execution platforms such as Mercury Test Director, Java JUnit, and proprietary test execution environments - Presents the basic principles and terminology of model-based testing - Shows how model-based testing fits into the software lifecycle, its cost-effectiveness, and how it can reduce time to market - Offers guidance on how to use different kinds of modeling techniques, useful test generation strategies, how to apply model-based testing techniques to real applications using case studies

Model-based Development and Evolution of Information Systems


Model-based Development and Evolution of Information Systems

Author: John Krogstie

language: en

Publisher:

Release Date: 2012


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There is no single approach to modelling and model-based systems development that is best for all possible situations. Therefore, a high-level overview is needed in order to evaluate the options and identify the optimal approach. This unique textbook/reference introduces and describes in detail the SEQUAL framework for understanding the quality of models and modelling languages, including the numerous specialisations of the generic framework, and the various ways in which this can be used for different applications. Examples are provided from the application of SEQUAL in industrial and governmental settings. Topics and features:Contains case studies, chapter summaries, review questions, problems and exercises throughout the text, in addition to Appendices on terminology and abbreviationsPresents a thorough introduction to the most important concepts in conceptual modelling, including the underlying philosophical outlook on the quality of modelsDescribes the basic tasks and model types in information systems development and evolution, and the main methodologies for mixing different phases of information system developmentProvides an overview of the general mechanisms and perspectives used in conceptual modellingPredicts future trends in technological development, and discusses how the role of modelling can be envisaged in this landscapeThis didactic guide is essential reading for postgraduate students of computer science, software engineering and information systems wishing to learn more about conceptual modelling in their preparation for professional practice. Developers of information systems will also find the book an ideal reference to support their professional activity. Dr. John Krogstie is a Professor of Information Systems in the Department of Computer and Information Science at the Norwegian University of Science and Technology, Trondheim, Norway.