Computational Intelligence And Quantitative Software Engineering

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Computational Intelligence and Quantitative Software Engineering

Author : Witold Pedrycz
Publisher : Springer
ISBN 13 : 3319259644
Total Pages : 212 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Computational Intelligence and Quantitative Software Engineering by : Witold Pedrycz

Download or read book Computational Intelligence and Quantitative Software Engineering written by Witold Pedrycz and published by Springer. This book was released on 2016-01-14 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a down-to-the earth manner, the volume lucidly presents how the fundamental concepts, methodology, and algorithms of Computational Intelligence are efficiently exploited in Software Engineering and opens up a novel and promising avenue of a comprehensive analysis and advanced design of software artifacts. It shows how the paradigm and the best practices of Computational Intelligence can be creatively explored to carry out comprehensive software requirement analysis, support design, testing, and maintenance. Software Engineering is an intensive knowledge-based endeavor of inherent human-centric nature, which profoundly relies on acquiring semiformal knowledge and then processing it to produce a running system. The knowledge spans a wide variety of artifacts, from requirements, captured in the interaction with customers, to design practices, testing, and code management strategies, which rely on the knowledge of the running system. This volume consists of contributions written by widely acknowledged experts in the field who reveal how the Software Engineering benefits from the key foundations and synergistically existing technologies of Computational Intelligence being focused on knowledge representation, learning mechanisms, and population-based global optimization strategies. This book can serve as a highly useful reference material for researchers, software engineers and graduate students and senior undergraduate students in Software Engineering and its sub-disciplines, Internet engineering, Computational Intelligence, management, operations research, and knowledge-based systems.

International Journal of Software Science and Computational Intelligence, Issue 3

Author : Yingxu Wang
Publisher : IGI Publishing
ISBN 13 : 9781613502648
Total Pages : 110 pages
Book Rating : 4.5/5 (26 download)

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Book Synopsis International Journal of Software Science and Computational Intelligence, Issue 3 by : Yingxu Wang

Download or read book International Journal of Software Science and Computational Intelligence, Issue 3 written by Yingxu Wang and published by IGI Publishing. This book was released on 2010 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest developments in computer science, theoretical software engineering, cognitive science, cognitive informatics, intelligence science, and the crystallization of accumulated knowledge by the fertilization of these areas, have led to the emergence of a transdisciplinary and convergence field known as software and intelligence sciences International Journal of Software Science and Computational Intelligence (IJSSCI) is a transdisciplinary, archived, and rigorously refereed journal that publishes and disseminates cutting-edge research findings and technological developments in the emerging fields of software science and computational intelligence, as well as their engineering applications.

Software Engineering Research, Management and Applications 2011

Author : Roger Lee
Publisher : Springer
ISBN 13 : 3642232027
Total Pages : 202 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Software Engineering Research, Management and Applications 2011 by : Roger Lee

Download or read book Software Engineering Research, Management and Applications 2011 written by Roger Lee and published by Springer. This book was released on 2011-11-06 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of the 9th International Conference on Software Engineering Research, Management and Applications(SERA 2011) held on August 10-12, 2011 in Baltimore, Maryland was to bring together scientists, engineers, computer users, and students to share their experiences and exchange new ideas and research results about all aspects (theory, applications and tools) of computer and information sciences, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected 12 outstanding papers from SERA 2011, all of which you will find in this volume of Springer’s Studies in Computational Intelligence.

Software Engineering with Computational Intelligence

Author : Jonathan Lee
Publisher : Springer
ISBN 13 : 3540364234
Total Pages : 275 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Software Engineering with Computational Intelligence by : Jonathan Lee

Download or read book Software Engineering with Computational Intelligence written by Jonathan Lee and published by Springer. This book was released on 2013-11-11 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is not an exaggeration to view Professor Lee's book," Software Engineer ing with Computational Intelligence," or SECI for short, as a pioneering contribution to software engineering. Breaking with the tradition of treat ing uncertainty, imprecision, fuzziness and vagueness as issues of peripheral importance, SECI moves them much closer to the center of the stage. It is ob vious, though still not widely accepted, that this is where these issues should be, since the real world is much too complex and much too ill-defined to lend itself to categorical analysis in the Cartesian spirit. As its title suggests, SECI employs the machineries of computational intel ligence (CI) and, more or less equivalently, soft computing (SC), to deal with the foundations and principal issues in software engineering. Basically, CI and SC are consortia of methodologies which collectively provide a body of con cepts and techniques for conception, design, construction and utilization of intelligent systems. The principal constituents of CI and SC are fuzzy logic, neurocomputing, evolutionary computing, probabilistic computing, chaotic computing and machine learning. The leitmotif of CI and SC is that, in general, better performance can be achieved by employing the constituent methodologies of CI and SC in combination rat her than in a stand-alone mode. In what follows, I will take the liberty of focusing my attention on fuzzy logic and fuzzy set theory, and on their roles in software engineering. But first, a couple of points of semantics which are in need of clarification.

Artificial Intelligence Methods For Software Engineering

Author : Meir Kalech
Publisher : World Scientific
ISBN 13 : 9811239932
Total Pages : 457 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Artificial Intelligence Methods For Software Engineering by : Meir Kalech

Download or read book Artificial Intelligence Methods For Software Engineering written by Meir Kalech and published by World Scientific. This book was released on 2021-06-15 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software is an integral part of our lives today. Modern software systems are highly complex and often pose new challenges in different aspects of Software Engineering (SE).Artificial Intelligence (AI) is a growing field in computer science that has been proven effective in applying and developing AI techniques to address various SE challenges.This unique compendium covers applications of state-of-the-art AI techniques to the key areas of SE (design, development, debugging, testing, etc).All the materials presented are up-to-date. This reference text will benefit researchers, academics, professionals, and postgraduate students in AI, machine learning and software engineering.Related Link(s)

Advances in Machine Learning Applications in Software Engineering

Author : Zhang, Du
Publisher : IGI Global
ISBN 13 : 1591409438
Total Pages : 498 pages
Book Rating : 4.5/5 (914 download)

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Book Synopsis Advances in Machine Learning Applications in Software Engineering by : Zhang, Du

Download or read book Advances in Machine Learning Applications in Software Engineering written by Zhang, Du and published by IGI Global. This book was released on 2006-10-31 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides analysis, characterization and refinement of software engineering data in terms of machine learning methods. It depicts applications of several machine learning approaches in software systems development and deployment, and the use of machine learning methods to establish predictive models for software quality while offering readers suggestions by proposing future work in this emerging research field"--Provided by publisher.

Computational Intelligence In Software Engineering, Advances In Fuzzy Systems: Applications And Theory

Author : James F Peters
Publisher : World Scientific
ISBN 13 : 9814496022
Total Pages : 500 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Computational Intelligence In Software Engineering, Advances In Fuzzy Systems: Applications And Theory by : James F Peters

Download or read book Computational Intelligence In Software Engineering, Advances In Fuzzy Systems: Applications And Theory written by James F Peters and published by World Scientific. This book was released on 1998-12-24 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique volume is the first publication on software engineering and computational intelligence (CI) viewed as a synergistic interplay of neurocomputing, granular computation (including fuzzy sets and rough sets), and evolutionary methods. It presents a unified view of CI in the context of software engineering.The book addresses a number of crucial issues: what is CI, what role does it play in software development, how are CI elements built into successive phases of the software life cycle, and what is the role played by CI in quantifying fundamental features of software artifacts?With contributions from leading researchers and practitioners, the book provides the reader with a wealth of new concepts and approaches, complete algorithms, in-depth case studies, and thought-provoking exercises. The topics coverage include neurocomputing, granular as well as evolutionary computing, object-oriented analysis and design in software engineering. There is also an extensive bibliography.

Computational Intelligence in Software Engineering

Author : Witold Pedrycz
Publisher : World Scientific
ISBN 13 : 9789810235031
Total Pages : 504 pages
Book Rating : 4.2/5 (35 download)

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Book Synopsis Computational Intelligence in Software Engineering by : Witold Pedrycz

Download or read book Computational Intelligence in Software Engineering written by Witold Pedrycz and published by World Scientific. This book was released on 1998 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique volume is the first publication on software engineering and computational intelligence (CI) viewed as a synergistic interplay of neurocomputing, granular computation (including fuzzy sets and rough sets), and evolutionary methods. It presents a unified view of CI in the context of software engineering. The book addresses a number of crucial issues: what is CI, what role does it play in software development, how are CI elements built into successive phases of the software life cycle, and what is the role played by CI in quantifying fundamental features of software artifacts? With contributions from leading researchers and practitioners, the book provides the reader with a wealth of new concepts and approaches, complete algorithms, in-depth case studies, and thought-provoking exercises. The topics coverage include neurocomputing, granular as well as evolutionary computing, object-oriented analysis and design in software engineering. There is also an extensive bibliography.

Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

Author : Roger Lee
Publisher : Springer
ISBN 13 : 3319007386
Total Pages : 248 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing by : Roger Lee

Download or read book Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing written by Roger Lee and published by Springer. This book was released on 2013-05-14 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book presents scientific results of the 14th ACIS/IEEE International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2013), held in Honolulu, Hawaii, USA on July 1-3, 2013. The aim of this conference was to bring together scientists, engineers, computer users, and students to share their experiences and exchange new ideas, research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected the 17 outstanding papers from those papers accepted for presentation at the conference.

Computational Intelligence Applications for Software Engineering Problems

Author : Parma Nand
Publisher : CRC Press
ISBN 13 : 1000575926
Total Pages : 317 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Computational Intelligence Applications for Software Engineering Problems by : Parma Nand

Download or read book Computational Intelligence Applications for Software Engineering Problems written by Parma Nand and published by CRC Press. This book was released on 2023-02-10 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new volume explores the computational intelligence techniques necessary to carry out different software engineering tasks. Software undergoes various stages before deployment, such as requirements elicitation, software designing, software project planning, software coding, and software testing and maintenance. Every stage is bundled with a number of tasks or activities to be performed. Due to the large and complex nature of software, these tasks can become costly and error prone. This volume aims to help meet these challenges by presenting new research and practical applications in intelligent techniques in the field of software engineering. Computational Intelligence Applications for Software Engineering Problems discusses techniques and presents case studies to solve engineering challenges using machine learning, deep learning, fuzzy-logic-based computation, statistical modeling, invasive weed meta-heuristic algorithms, artificial intelligence, the DevOps model, time series forecasting models, and more.

Software Engineering with Computational Intelligence

Author : Taghi M. Khoshgoftaar
Publisher : Springer Science & Business Media
ISBN 13 : 1461504295
Total Pages : 373 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Software Engineering with Computational Intelligence by : Taghi M. Khoshgoftaar

Download or read book Software Engineering with Computational Intelligence written by Taghi M. Khoshgoftaar and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: The constantly evolving technological infrastructure of the modem world presents a great challenge of developing software systems with increasing size, complexity, and functionality. The software engineering field has seen changes and innovations to meet these and other continuously growing challenges by developing and implementing useful software engineering methodologies. Among the more recent advances are those made in the context of software portability, formal verification· techniques, software measurement, and software reuse. However, despite the introduction of some important and useful paradigms in the software engineering discipline, their technological transfer on a larger scale has been extremely gradual and limited. For example, many software development organizations may not have a well-defined software assurance team, which can be considered as a key ingredient in the development of a high-quality and dependable software product. Recently, the software engineering field has observed an increased integration or fusion with the computational intelligence (Cl) field, which is comprised of primarily the mature technologies of fuzzy logic, neural networks, genetic algorithms, genetic programming, and rough sets. Hybrid systems that combine two or more of these individual technologies are also categorized under the Cl umbrella. Software engineering is unlike the other well-founded engineering disciplines, primarily due to its human component (designers, developers, testers, etc. ) factor. The highly non-mechanical and intuitive nature of the human factor characterizes many of the problems associated with software engineering, including those observed in development effort estimation, software quality and reliability prediction, software design, and software testing.

Computational Intelligence Techniques and Their Applications to Software Engineering Problems

Author : Ankita Bansal
Publisher : CRC Press
ISBN 13 : 1000191923
Total Pages : 267 pages
Book Rating : 4.0/5 (1 download)

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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 267 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

Computational Intelligence In Software Quality Assurance

Author : Scott Dick
Publisher : World Scientific
ISBN 13 : 9814480894
Total Pages : 199 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Computational Intelligence In Software Quality Assurance by : Scott Dick

Download or read book Computational Intelligence In Software Quality Assurance written by Scott Dick and published by World Scientific. This book was released on 2005-10-19 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software systems surround us. Software is a critical component in everything from the family car through electrical power systems to military equipment. As software plays an ever-increasing role in our lives and livelihoods, the quality of that software becomes more and more critical. However, our ability to deliver high-quality software has not kept up with those increasing demands. The economic fallout is enormous; the US economy alone is losing over US$50 billion per year due to software failures. This book presents new research into using advanced artificial intelligence techniques to guide software quality improvements. The techniques of chaos theory and data mining are brought to bear to provide new insights into the software development process. Written for researchers and practitioners in software engineering and computational intelligence, this book is a unique and important bridge between these two fields.

Sharing Data and Models in Software Engineering

Author : Tim Menzies
Publisher : Morgan Kaufmann
ISBN 13 : 0124173071
Total Pages : 415 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Sharing Data and Models in Software Engineering by : Tim Menzies

Download or read book Sharing Data and Models in Software Engineering written by Tim Menzies and published by Morgan Kaufmann. This book was released on 2014-12-22 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share largely applicable experimental results discussed with the blend of practitioner focused domain expertise, with commentary that highlights the methods that are most useful, and applicable to the widest range of projects. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists in software engineering. Throughout, the editors share best practices collected from their experience training software engineering students and practitioners to master data science, and highlight the methods that are most useful, and applicable to the widest range of projects. - Shares the specific experience of leading researchers and techniques developed to handle data problems in the realm of software engineering - Explains how to start a project of data science for software engineering as well as how to identify and avoid likely pitfalls - Provides a wide range of useful qualitative and quantitative principles ranging from very simple to cutting edge research - Addresses current challenges with software engineering data such as lack of local data, access issues due to data privacy, increasing data quality via cleaning of spurious chunks in data

Software Technology: Methods and Tools

Author : Manuel Mazzara
Publisher : Springer Nature
ISBN 13 : 3030298523
Total Pages : 429 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Software Technology: Methods and Tools by : Manuel Mazzara

Download or read book Software Technology: Methods and Tools written by Manuel Mazzara and published by Springer Nature. This book was released on 2019-10-08 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 51st International Conference on Software Technology: Methods and Tools, TOOLS 2019, held in Innopolis, Russia, in October 2019.The 19 revised full papers and 13 short papers presented in this book were carefully reviewed and selected from 62 submissions. The papers discuss all aspects of software engineering and programming languages; machine learning; internet of things; security computer architectures and robotics; and projects.

Computational Intelligence in Security for Information Systems

Author : Álvaro Herrero
Publisher : Springer
ISBN 13 : 3642213235
Total Pages : 324 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Computational Intelligence in Security for Information Systems by : Álvaro Herrero

Download or read book Computational Intelligence in Security for Information Systems written by Álvaro Herrero and published by Springer. This book was released on 2011-05-31 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2011, held in Torremolinos-Málaga, in June 2011 as a satellite event of IWANN 2011, the International Work-conference on Artificial and Natural Neural Networks. The 38 revised full papers presented were carefully reviewed and selected from a total of 70 submissions. The papers are organized in topical sections on machine learning and intelligence, network security, cryptography, securing software, and applications of intelligent methods for security.

Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects

Author : Meziane, Farid
Publisher : IGI Global
ISBN 13 : 1605667595
Total Pages : 372 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects by : Meziane, Farid

Download or read book Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects written by Meziane, Farid and published by IGI Global. This book was released on 2009-07-31 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides an overview of useful techniques in artificial intelligence for future software development along with critical assessment for further advancement"--Provided by publisher.