Computational Intelligence Applications for Software Engineering Problems

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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.

Computational Intelligence Techniques and Their Applications to Software Engineering Problems

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Publisher : CRC Press
ISBN 13 : 100019194X
Total Pages : 809 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 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

Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects

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Author :
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.

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

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Author :
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 Applications for Software Engineering Problems

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Author :
Publisher : CRC Press
ISBN 13 : 100057587X
Total Pages : 325 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 325 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.

Computational Intelligence in Software Engineering

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Author :
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.

Computational Intelligence Techniques and Their Applications to Software Engineering Problems

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Author :
Publisher : CRC Press
ISBN 13 : 1000191923
Total Pages : 251 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 2020-09-28 with total page 251 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 Modeling

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Author :
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110709244
Total Pages : 216 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Computational Intelligence in Software Modeling by : Vishal Jain

Download or read book Computational Intelligence in Software Modeling written by Vishal Jain and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-02-21 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Researchers, academicians and professionals expone in this book their research in the application of intelligent computing techniques to software engineering. As software systems are becoming larger and complex, software engineering tasks become increasingly costly and prone to errors. Evolutionary algorithms, machine learning approaches, meta-heuristic algorithms, and others techniques can help the effi ciency of software engineering.

Computational Intelligence in Software Engineering

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (249 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 . This book was released on 2004 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Software Engineering with Computational Intelligence

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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.

Computational Intelligence in Software Quality Assurance

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Publisher : World Scientific
ISBN 13 : 9814480894
Total Pages : 200 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Computational Intelligence in Software Quality Assurance by : S Dick

Download or read book Computational Intelligence in Software Quality Assurance written by S Dick and published by World Scientific. This book was released on 2005-10-19 with total page 200 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. Contents:Software Engineering and Artificial IntelligenceSoftware Testing and Artificial IntelligenceChaos Theory and Software ReliabilityData Mining and Software MetricsSkewness and Resampling Readership: Primarily, researchers working in the areas of software quality assurance or in computational intelligence, and particularly those interested in interdisciplinary research between these two topics. The book is also intended for practicing software engineers interested in the use of novel technologies for software quality engineering. In addition, the book is appropriate for an advanced graduate-level course in computational intelligence or software engineering. Keywords:Computational Intelligence;Data Mining;Pattern Recognition;Chaos Theory;Software Engineering;Software Reliability;Software Quality AssuranceKey Features:Extensive bibliography of over 300 references, covering the intersection of software engineering and computational intelligence, as well as background material in each fieldUnique usage of chaos theory in software reliability modelingNovel approaches to software quality assurance using data miningReviews of software engineering and computational intelligence make the book self-containedReviews:“Written for researchers and practitioners in software engineering and computational intelligence, this book is a unique and important bridge between these two fields.”Zentralblatt MATH '

Computational Intelligence

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110671352
Total Pages : 280 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Computational Intelligence by : Dinesh C.S. Bisht

Download or read book Computational Intelligence written by Dinesh C.S. Bisht and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-08-10 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence (CI) lies at the interface between engineering and computer science; control engineering, where problems are solved using computer-assisted methods. Thus, it can be regarded as an indispensable basis for all artificial intelligence (AI) activities. This book collects surveys of most recent theoretical approaches focusing on fuzzy systems, neurocomputing, and nature inspired algorithms. It also presents surveys of up-to-date research and application with special focus on fuzzy systems as well as on applications in life sciences and neuronal computing.

Computational Intelligence Applications in Modeling and Control

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Publisher : Springer
ISBN 13 : 3319110179
Total Pages : 430 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Computational Intelligence Applications in Modeling and Control by : Ahmad Taher Azar

Download or read book Computational Intelligence Applications in Modeling and Control written by Ahmad Taher Azar and published by Springer. This book was released on 2014-12-26 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of computational intelligence (CI) systems was inspired by observable and imitable aspects of intelligent activity of human being and nature. The essence of the systems based on computational intelligence is to process and interpret data of various nature so that that CI is strictly connected with the increase of available data as well as capabilities of their processing, mutually supportive factors. Developed theories of computational intelligence were quickly applied in many fields of engineering, data analysis, forecasting, biomedicine and others. They are used in images and sounds processing and identifying, signals processing, multidimensional data visualization, steering of objects, analysis of lexicographic data, requesting systems in banking, diagnostic systems, expert systems and many other practical implementations. This book consists of 16 contributed chapters by subject experts who are specialized in the various topics addressed in this book. The special chapters have been brought out in the broad areas of Control Systems, Power Electronics, Computer Science, Information Technology, modeling and engineering applications. Special importance was given to chapters offering practical solutions and novel methods for the recent research problems in the main areas of this book, viz. Control Systems, Modeling, Computer Science, IT and engineering applications. This book will serve as a reference book for graduate students and researchers with a basic knowledge of control theory, computer science and soft-computing techniques. The resulting design procedures are emphasized using Matlab/Simulink software.

Artificial Intelligence Methods For Software Engineering

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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)

Applications of Artificial Intelligence in Engineering Problems

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Publisher : Springer
ISBN 13 : 9783540163497
Total Pages : 1198 pages
Book Rating : 4.1/5 (634 download)

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Book Synopsis Applications of Artificial Intelligence in Engineering Problems by : D. Sriram

Download or read book Applications of Artificial Intelligence in Engineering Problems written by D. Sriram and published by Springer. This book was released on 1986-05-01 with total page 1198 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence and Software Engineering

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Author :
Publisher : Routledge
ISBN 13 : 1136594469
Total Pages : 287 pages
Book Rating : 4.1/5 (365 download)

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Book Synopsis Artificial Intelligence and Software Engineering by : Derek Partridge

Download or read book Artificial Intelligence and Software Engineering written by Derek Partridge and published by Routledge. This book was released on 2013-04-11 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managers, business owners, computer literate individuals, software developers, students, and researchers--all are looking for an understanding of artificial intelligence (AI) and what might be in the future. In this literate yet easy-to-read discussion, Derek Partridge explains what artificial intelligence can and cannot do, and what it holds for applications such as banking, financial services, and expert systems of all kinds. Topics include: the strengths and weaknesses of software development and engineering; machine learning and its promises and problems; expert systems and success stories; and practical software through artificial intelligence.

Challenges for Computational Intelligence

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Publisher : Springer Science & Business Media
ISBN 13 : 3540719830
Total Pages : 489 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Challenges for Computational Intelligence by : Jacek Mandziuk

Download or read book Challenges for Computational Intelligence written by Jacek Mandziuk and published by Springer Science & Business Media. This book was released on 2007-06-26 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years computational intelligence has been extended by adding many other subdisciplines and this new field requires a series of challenging problems that will give it a sense of direction in order to ensure that research efforts are not wasted. This book written by top experts in computational intelligence provides such clear directions and a much-needed focus on the most important and challenging research issues.