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Multi Criteria Decision Models In Software Reliability
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Book Synopsis Multi-Criteria Decision Models in Software Reliability by : Ashish Mishra
Download or read book Multi-Criteria Decision Models in Software Reliability written by Ashish Mishra and published by CRC Press. This book was released on 2022-11-30 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides insights into contemporary issues and challenges in multi-criteria decision models. It is a useful guide for identifying, understanding and categorising multi-criteria decision models, and ultimately implementing the analysis for effective decision-making. The use of multi-criteria decision models in software reliability engineering is a relatively new field of study, and this book collects all the latest methodologies, tools and techniques in one single volume. It covers model selection, assessment, resource allocation, release management, up-grade planning, open-source systems, bug tracking system management and defect prediction. Multi-Criteria Decision Models in Software Reliability: Methods and Applications will cater to researchers, academicians, post-graduate students, software developers, software reliability engineers and IT managers.
Book Synopsis Multi-Criteria Decision Models in Software Reliability by : Ashish Mishra
Download or read book Multi-Criteria Decision Models in Software Reliability written by Ashish Mishra and published by CRC Press. This book was released on 2022-11-30 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides insights into contemporary issues and challenges in multi-criteria decision models. It is a useful guide for identifying, understanding and categorising multi-criteria decision models, and ultimately implementing the analysis for effective decision-making. The use of multi-criteria decision models in software reliability engineering is a relatively new field of study, and this book collects all the latest methodologies, tools and techniques in one single volume. It covers model selection, assessment, resource allocation, release management, up-grade planning, open-source systems, bug tracking system management and defect prediction. Multi-Criteria Decision Models in Software Reliability: Methods and Applications will cater to researchers, academicians, post-graduate students, software developers, software reliability engineers and IT managers.
Book Synopsis Optimization Models in Software Reliability by : Anu G. Aggarwal
Download or read book Optimization Models in Software Reliability written by Anu G. Aggarwal and published by Springer Nature. This book was released on 2021-09-29 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book begins with an introduction to software reliability, models and techniques. The book is an informative book covering the strategies needed to assess software failure behaviour and its quality, as well as the application of optimization tools for major managerial decisions related to the software development process. It features a broad range of topics including software reliability assessment and apportionment, optimal allocation and selection decisions and upgradations problems. It moves through a variety of problems related to the evolving field of optimization of software reliability engineering, including software release time, resource allocating, budget planning and warranty models, which are each explored in depth in dedicated chapters. This book provides a comprehensive insight into present-day practices in software reliability engineering, making it relevant to students, researchers, academics and practising consultants and engineers.
Author :Igor (US Army Engineer Research and Development Linkov, Brookline Massachusetts USA) Publisher :CRC Press ISBN 13 :9780367544386 Total Pages :0 pages Book Rating :4.5/5 (443 download)
Book Synopsis Multi-Criteria Decision Analysis by : Igor (US Army Engineer Research and Development Linkov, Brookline Massachusetts USA)
Download or read book Multi-Criteria Decision Analysis written by Igor (US Army Engineer Research and Development Linkov, Brookline Massachusetts USA) and published by CRC Press. This book was released on 2023-05-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thoroughly updated second edition provides seven additional new case studies focused on sustainability. Combining applications using MCDA methodologies with free DECERNS software package, this book is a great resource for professionals and students in learning and applying similar frameworks to other environmental projects.
Book Synopsis Multi-criteria Decision Analysis by : Alessio Ishizaka
Download or read book Multi-criteria Decision Analysis written by Alessio Ishizaka and published by John Wiley & Sons. This book was released on 2013-06-10 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an introduction to MCDA followed by more detailed chapters about each of the leading methods used in this field. Comparison of methods and software is also featured to enable readers to choose the most appropriate method needed in their research. Worked examples as well as the software featured in the book are available on an accompanying website.
Book Synopsis Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design by : Ali Jahan
Download or read book Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design written by Ali Jahan and published by Butterworth-Heinemann. This book was released on 2016-02-17 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design, Second Edition, provides readers with tactics they can use to optimally select materials to satisfy complex design problems when they are faced with the vast range of materials available. Current approaches to materials selection range from the use of intuition and experience, to more formalized computer-based methods, such as electronic databases with search engines to facilitate the materials selection process. Recently, multi-criteria decision-making (MCDM) methods have been applied to materials selection, demonstrating significant capability for tackling complex design problems. This book describes the rapidly growing field of MCDM and its application to materials selection. It aids readers in producing successful designs by improving the decision-making process. This new edition updates and expands previous key topics, including new chapters on materials selection in the context of design problem-solving and multiple objective decision-making, also presenting a significant amount of additional case studies that will aid in the learning process. Describes the advantages of Quality Function Deployment (QFD) in the materials selection process through different case studies Presents a methodology for multi-objective material design optimization that employs Design of Experiments coupled with Finite Element Analysis Supplements existing quantitative methods of materials selection by allowing simultaneous consideration of design attributes, component configurations, and types of material Provides a case study for simultaneous materials selection and geometrical optimization processes
Book Synopsis Computational Intelligence Techniques and Their Applications to Software Engineering Problems by : Ankita Bansal
Download or read book Computational Intelligence Techniques and Their Applications to Software Engineering Problems written by Ankita Bansal and published by CRC Press. This book was released on 2020-09-27 with total page 809 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence Techniques and Their Applications to Software Engineering Problems focuses on computational intelligence approaches as applicable in varied areas of software engineering such as software requirement prioritization, cost estimation, reliability assessment, defect prediction, maintainability and quality prediction, size estimation, vulnerability prediction, test case selection and prioritization, and much more. The concepts of expert systems, case-based reasoning, fuzzy logic, genetic algorithms, swarm computing, and rough sets are introduced with their applications in software engineering. The field of knowledge discovery is explored using neural networks and data mining techniques by determining the underlying and hidden patterns in software data sets. Aimed at graduate students and researchers in computer science engineering, software engineering, information technology, this book: Covers various aspects of in-depth solutions of software engineering problems using computational intelligence techniques Discusses the latest evolutionary approaches to preliminary theory of different solve optimization problems under software engineering domain Covers heuristic as well as meta-heuristic algorithms designed to provide better and optimized solutions Illustrates applications including software requirement prioritization, software cost estimation, reliability assessment, software defect prediction, and more Highlights swarm intelligence-based optimization solutions for software testing and reliability problems
Book Synopsis Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis by : Adiel Teixeira de Almeida
Download or read book Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis written by Adiel Teixeira de Almeida and published by Springer. This book was released on 2015-07-01 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book integrates multiple criteria concepts and methods for problems within the Risk, Reliability and Maintenance (RRM) context. The concepts and foundations related to RRM are considered for this integration with multicriteria approaches. In the book, a general framework for building decision models is presented and this is illustrated in various chapters by discussing many different decision models related to the RRM context. The scope of the book is related to ways of how to integrate Applied Probability and Decision Making. In Applied Probability, this mainly includes: decision analysis and reliability theory, amongst other topics closely related to risk analysis and maintenance. In Decision Making, it includes a broad range of topics in MCDM (Multi-Criteria Decision Making) and MCDA (Multi-Criteria Decision Aiding; also known as Multi-Criteria Decision Analysis). In addition to decision analysis, some of the topics related to Mathematical Programming area are briefly considered, such as multiobjective optimization, since methods related to these topics have been applied to the context of RRM. The book addresses an innovative treatment for the decision making in RRM, thereby improving the integration of fundamental concepts from the areas of both RRM and decision making. This is accomplished by presenting an overview of the literature on decision making in RRM. Some pitfalls of decision models when applying them to RRM in practice are discussed and guidance on overcoming these drawbacks is offered. The procedure enables multicriteria models to be built for the RRM context, including guidance on choosing an appropriate multicriteria method for a particular problem faced in the RRM context. The book also includes many research advances in these topics. Most of the multicriteria decision models that are described are specific applications that have been influenced by this research and the advances in this field. Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis is implicitly structured in three parts, with 12 chapters. The first part deals with MCDM/A concepts methods and decision processes. The second part presents the main concepts and foundations of RRM. Finally the third part deals with specific decision problems in the RRM context approached with MCDM/A models.
Book Synopsis Software Engineering in Intelligent Systems by : Radek Silhavy
Download or read book Software Engineering in Intelligent Systems written by Radek Silhavy and published by Springer. This book was released on 2015-04-25 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is based on the research papers presented in the 4th Computer Science On-line Conference. The volume Software Engineering in Intelligent Systems presents new approaches and methods to real-world problems, and in particular, exploratory research that describes novel approaches in the field of Software Engineering. Particular emphasis is laid on modern trends in selected fields of interest. New algorithms or methods in a variety of fields are also presented. The Computer Science On-line Conference (CSOC 2015) is intended to provide an international forum for discussions on the latest high-quality research results in all areas related to Computer Science. The addressed topics are the theoretical aspects and applications of Computer Science, Artificial Intelligences, Cybernetics, Automation Control Theory and Software Engineering.
Book Synopsis Knowledge-Based Software Engineering by : Alla Kravets
Download or read book Knowledge-Based Software Engineering written by Alla Kravets and published by Springer. This book was released on 2014-08-26 with total page 763 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th Joint Conference on Knowledge-Based Software-Engineering, JCKBSE 2014, held in Volgograd, Russia, in September 2014. The 59 full and 3 short papers presented were carefully reviewed and selected from 197 submissions. The papers are organized in topical sections on methodology and tools for knowledge discovery and data mining; methods and tools for software engineering education; knowledge technologies for semantic web and ontology engineering; knowledge-based methods and tools for testing, verification and validation, maintenance and evolution; natural language processing, image analysis and recognition; knowledge-based methods and applications in information security, robotics and navigation; decision support methods for software engineering; architecture of knowledge-based systems, including intelligent agents and softbots; automating software design and synthesis; knowledge management for business processes, workflows and enterprise modeling; knowledge-based methods and applications in bioscience, medicine and justice; knowledge-based requirements engineering, domain analysis and modeling; intelligent user interfaces and human-machine interaction; lean software engineering; program understanding, programming knowledge, modeling programs and programmers.
Book Synopsis Trends in Computer Science, Engineering and Information Technology by : Dhinaharan Nagamalai
Download or read book Trends in Computer Science, Engineering and Information Technology written by Dhinaharan Nagamalai and published by Springer Science & Business Media. This book was released on 2011-09-14 with total page 753 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Computer Science, Engineering and Information Technology, CCSEIT 2011, held in Tirunelveli, India, in September 2011. The 73 revised full papers were carefully reviewed and selected from more than 400 initial submissions. The papers feature significant contributions to all major fields of the Computer Science and Information Technology in theoretical and practical aspects.
Book Synopsis Software Reliability Modelling by : M. Xie
Download or read book Software Reliability Modelling written by M. Xie and published by World Scientific. This book was released on 1991 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book summarizes the recent advances in software reliability modelling. Almost all the existing models are classified and the most interesting models are described in detail.Because of the application of software in many industrial, military and commercial systems, software reliability has become an important research area. Although there are many models and results appeared in different journals and conference proceedings, there is a lack of systematic publications on this subject. The aim of this book is to provide an overview of this area and provide software reliability researchers and analysts with a systematic study of the existing results. This book can also be used as a reference book for other software engineers and reliability theoreticians interested in this area.
Book Synopsis Software Engineering and Algorithms in Intelligent Systems by : Radek Silhavy
Download or read book Software Engineering and Algorithms in Intelligent Systems written by Radek Silhavy and published by Springer. This book was released on 2018-05-16 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents new software engineering approaches and methods, discussing real-world problems and exploratory research that describes novel approaches, modern design techniques, hybrid algorithms and empirical methods. This book constitutes part of the refereed proceedings of the Software Engineering and Algorithms in Intelligent Systems Section of the 7th Computer Science On-line Conference 2018 (CSOC 2018), held in April 2018.
Book Synopsis Reliability and Maintainability Assessment of Industrial Systems by : Mangey Ram
Download or read book Reliability and Maintainability Assessment of Industrial Systems written by Mangey Ram and published by Springer Nature. This book was released on 2022-05-05 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers advanced reliability and maintainability knowledge as applied to recent engineering problems. It highlights research in the fields of reliability measures of binary and complex engineering systems, cost analysis, simulations, optimizations, risk factors, and sensitivity analysis. The book scrutinizes various advanced tools and techniques, methodology, and concepts to solve the various engineering problems related to reliability and maintainability of the industrial system at minimum cost and maximum profit. It consists of 15 chapters and offers a platform to researchers, academicians, professionals and scientists to enhance their knowledge and understanding the concept of reliability in engineering.
Book Synopsis Recent Advancements in Software Reliability Assurance by : Adarsh Anand
Download or read book Recent Advancements in Software Reliability Assurance written by Adarsh Anand and published by CRC Press. This book was released on 2019-04-08 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to provide a platform to academicians, practitioners, and researchers to understand current and future trends in software reliability growth modeling. Emphasis will be on qualitative work relevant to the theme with particular importance given to mathematical modeling for software reliability and various methods and applications of multi attributed decision making in governing the software performance. Presents software quality and security models Offers reliability analysis, assurance techniques for software systems Covers methodologies, tools, and practical applications of software reliability modeling and testing resources Includes robust reliability design techniques, diagnostic, and decision support Discusses stochastic modelling for software systems
Book Synopsis Multiple Criteria Decision Aid by : Jason Papathanasiou
Download or read book Multiple Criteria Decision Aid written by Jason Papathanasiou and published by Springer. This book was released on 2018-09-19 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple criteria decision aid (MCDA) methods are illustrated in this book through theoretical and computational techniques utilizing Python. Existing methods are presented in detail with a step by step learning approach. Theoretical background is given for TOPSIS, VIKOR, PROMETHEE, SIR, AHP, goal programming, and their variations. Comprehensive numerical examples are also discussed for each method in conjunction with easy to follow Python code. Extensions to multiple criteria decision making algorithms such as fuzzy number theory and group decision making are introduced and implemented through Python as well. Readers will learn how to implement and use each method based on the problem, the available data, the stakeholders involved, and the various requirements needed. Focusing on the practical aspects of the multiple criteria decision making methodologies, this book is designed for researchers, practitioners and advanced graduate students in the applied mathematics, information systems, operations research and business administration disciplines, as well as other engineers and scientists oriented in interdisciplinary research. Readers will greatly benefit from this book by learning and applying various MCDM/A methods. (Adiel Teixeira de Almeida, CDSID-Center for Decision System and Information Development, Universidade Federal de Pernambuco, Recife, Brazil) Promoting the development and application of multicriteria decision aid is essential to ensure more ethical and sustainable decisions. This book is a great contribution to this objective. It is a perfect blend of theory and practice, providing potential users and researchers with the theoretical bases of some of the best-known methods as well as with the computing tools needed to practice, to compare and to put these methods to use. (Jean-Pierre Brans, Vrije Universiteit Brussel, Brussels, Belgium) This book is intended for researchers, practitioners and students alike in decision support who wish to familiarize themselves quickly and efficiently with multicriteria decision aiding algorithms. The proposed approach is original, as it presents a selection of methods from the theory to the practical implementation in Python, including a detailed example. This will certainly facilitate the learning of these techniques, and contribute to their effective dissemination in applications. (Patrick Meyer, IMT Atlantique, Lab-STICC, Univ. Bretagne Loire, Brest, France)
Book Synopsis Predictive Analytics in System Reliability by : Vijay Kumar
Download or read book Predictive Analytics in System Reliability written by Vijay Kumar and published by Springer Nature. This book was released on 2022-09-08 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides engineers and researchers knowledge to help them in system reliability analysis using machine learning, artificial intelligence, big data, genetic algorithm, information theory, multi-criteria decision making, and other techniques. It will also be useful to students learning reliability engineering. The book brings readers up to date with how system reliability relates to the latest techniques of AI, big data, genetic algorithm, information theory, and multi-criteria decision making and points toward future developments in the subject.
