Computational Intelligence And Quantitative Software Engineering

Author : Witold Pedrycz,Giancarlo Succi,Alberto Sillitti
Publisher : Springer
Page : 207 pages
File Size : 55,8 Mb
Release : 2016-01-14
Category : Technology & Engineering
ISBN : 9783319259642

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Computational Intelligence and Quantitative Software Engineering by Witold Pedrycz,Giancarlo Succi,Alberto Sillitti Pdf

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.

Author : Witold Pedrycz,James F. Peters
Publisher : World Scientific
Page : 504 pages
File Size : 51,7 Mb
Release : 1998
Category : Computers
ISBN : 9810235038

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Computational Intelligence in Software Engineering by Witold Pedrycz,James F. Peters Pdf

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.

Author : Vishal Jain,Jyotir Moy Chatterjee,Ankita Bansal,Utku Kose,Abha Jain
Publisher : Walter de Gruyter GmbH & Co KG
Page : 216 pages
File Size : 50,6 Mb
Release : 2022-02-21
Category : Computers
ISBN : 9783110709247

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Computational Intelligence in Software Modeling by Vishal Jain,Jyotir Moy Chatterjee,Ankita Bansal,Utku Kose,Abha Jain Pdf

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.

Author : Scott Dick,Abraham Kandel
Publisher : World Scientific
Page : 199 pages
File Size : 42,6 Mb
Release : 2005
Category : Computers
ISBN : 9789812703477

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Computational Intelligence in Software Quality Assurance by Scott Dick,Abraham Kandel Pdf

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.

Author : Jonathan Lee
Publisher : Springer
Page : 275 pages
File Size : 54,6 Mb
Release : 2013-11-11
Category : Technology & Engineering
ISBN : 9783540364238

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Software Engineering with Computational Intelligence by Jonathan Lee Pdf

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.

Author : James F Peters,Witold Pedrycz
Publisher : World Scientific
Page : 500 pages
File Size : 47,7 Mb
Release : 1998-12-24
Category : Computers
ISBN : 9789814496025

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Computational Intelligence In Software Engineering, Advances In Fuzzy Systems: Applications And Theory by James F Peters,Witold Pedrycz Pdf

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.

Author : Witold Pedrycz,Mehmet Aksit
Publisher : Unknown
Page : 0 pages
File Size : 41,8 Mb
Release : 2004
Category : Computational intelligence
ISBN : OCLC:249723610

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Computational Intelligence in Software Engineering by Witold Pedrycz,Mehmet Aksit Pdf

Author : Parma Nand,Rakesh Nitin,Arun Prakash Agrawal,Vishal Jain
Publisher : Apple Academic Press Incorporated
Page : 0 pages
File Size : 42,6 Mb
Release : 2023
Category : Artificial intelligence
ISBN : 1774910470

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Computational Intelligence Applications for Software Engineering Problems by Parma Nand,Rakesh Nitin,Arun Prakash Agrawal,Vishal Jain Pdf

"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 become more 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. This volume will be helpful to software engineers, researchers, and faculty and advanced students working on intelligent techniques in the field of software engineering"--

Author : Dinesh C.S. Bisht,Mangey Ram
Publisher : Walter de Gruyter GmbH & Co KG
Page : 280 pages
File Size : 50,7 Mb
Release : 2020-08-10
Category : Technology & Engineering
ISBN : 9783110671353

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Computational Intelligence by Dinesh C.S. Bisht,Mangey Ram Pdf

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.

Author : Roger Lee
Publisher : Springer
Page : 200 pages
File Size : 48,5 Mb
Release : 2011-11-06
Category : Technology & Engineering
ISBN : 9783642232022

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Software Engineering Research, Management and Applications 2011 by Roger Lee Pdf

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.

Author : Zhang, Du,Tsai, Jeffery J.P.
Publisher : IGI Global
Page : 498 pages
File Size : 48,8 Mb
Release : 2006-10-31
Category : Computers
ISBN : 9781591409434

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Advances in Machine Learning Applications in Software Engineering by Zhang, Du,Tsai, Jeffery J.P. Pdf

"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.

Author : Roger Lee
Publisher : Springer
Page : 242 pages
File Size : 48,7 Mb
Release : 2013-05-14
Category : Technology & Engineering
ISBN : 9783319007380

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Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing by Roger Lee Pdf

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.

Author : Parma Nand,Nitin Rakesh,Arun Prakash Agrawal,Vishal Jain
Publisher : CRC Press
Page : 317 pages
File Size : 44,7 Mb
Release : 2023-02-10
Category : Computers
ISBN : 9781000575927

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Computational Intelligence Applications for Software Engineering Problems by Parma Nand,Nitin Rakesh,Arun Prakash Agrawal,Vishal Jain Pdf

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.

Author : Taghi M. Khoshgoftaar
Publisher : Springer Science & Business Media
Page : 373 pages
File Size : 54,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461504290

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Software Engineering with Computational Intelligence by Taghi M. Khoshgoftaar Pdf

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.

Author : Ankita Bansal,Abha Jain,Sarika Jain,Vishal Jain,Ankur Choudhary
Publisher : CRC Press
Page : 251 pages
File Size : 45,9 Mb
Release : 2020-09-28
Category : Computers
ISBN : 9781000191929

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Computational Intelligence Techniques and Their Applications to Software Engineering Problems by Ankita Bansal,Abha Jain,Sarika Jain,Vishal Jain,Ankur Choudhary Pdf

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