Software Engineering With Computational Intelligence

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Computational Intelligence in Software Engineering

Witold Pedrycz,James F. Peters
Computational Intelligence in Software Engineering Book PDF

Author : Witold Pedrycz,James F. Peters
Publisher : World Scientific
Page : 504 pages
File Size : 41,5 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.

Software Engineering with Computational Intelligence

Jonathan Lee
Software Engineering with Computational Intelligence Book PDF

Author : Jonathan Lee
Publisher : Springer
Page : 275 pages
File Size : 53,5 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.

Computational Intelligence Techniques and Their Applications to Software Engineering Problems

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

Author : Ankita Bansal,Abha Jain,Sarika Jain,Vishal Jain,Ankur Choudhary
Publisher : CRC Press
Page : 809 pages
File Size : 44,5 Mb
Release : 2020-09-27
Category : Computers
ISBN : 9781000191943

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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

Computational Intelligence in Software Modeling

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

Author : Vishal Jain,Jyotir Moy Chatterjee,Ankita Bansal,Utku Kose,Abha Jain
Publisher : Walter de Gruyter GmbH & Co KG
Page : 282 pages
File Size : 43,8 Mb
Release : 2022-02-21
Category : Computers
ISBN : 9783110709346

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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.

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

James F Peters,Witold Pedrycz
Computational Intelligence In Software Engineering Advances In Fuzzy Systems Applications And Theory Book PDF

Author : James F Peters,Witold Pedrycz
Publisher : World Scientific
Page : 500 pages
File Size : 55,9 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.

Computational Intelligence in Software Modeling

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

Author : Vishal Jain,Jyotir Moy Chatterjee,Ankita Bansal,Utku Kose,Abha Jain
Publisher : Walter de Gruyter GmbH & Co KG
Page : 216 pages
File Size : 53,7 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.

Artificial Intelligence Methods For Software Engineering

Meir Kalech,Rui Abreu,Mark Last
Artificial Intelligence Methods For Software Engineering Book PDF

Author : Meir Kalech,Rui Abreu,Mark Last
Publisher : World Scientific
Page : 457 pages
File Size : 50,7 Mb
Release : 2021-06-15
Category : Computers
ISBN : 9789811239939

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Artificial Intelligence Methods For Software Engineering by Meir Kalech,Rui Abreu,Mark Last Pdf

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)

Computational Intelligence in Software Quality Assurance

S Dick,A Kandel
Computational Intelligence in Software Quality Assurance Book PDF

Author : S Dick,A Kandel
Publisher : World Scientific
Page : 200 pages
File Size : 42,5 Mb
Release : 2005-10-19
Category : Computers
ISBN : 9789814480895

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Computational Intelligence in Software Quality Assurance by S Dick,A 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. 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 '

Software Engineering in IoT, Big Data, Cloud and Mobile Computing

Haengkon Kim,Roger Lee
Software Engineering in IoT Big Data Cloud and Mobile Computing Book PDF

Author : Haengkon Kim,Roger Lee
Publisher : Springer Nature
Page : 225 pages
File Size : 40,8 Mb
Release : 2020-12-26
Category : Computers
ISBN : 9783030647735

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Software Engineering in IoT, Big Data, Cloud and Mobile Computing by Haengkon Kim,Roger Lee Pdf

This edited book presents scientific results of the International Semi-Virtual Workshop on Software Engineering in IoT, Big data, Cloud and Mobile Computing (SE-ICBM 2020) which was held on October 15, 2020, at Soongsil University, Seoul, Korea. The aim of this workshop was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. 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 workshop organizers selected the best papers from those papers accepted for presentation at the workshop. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 17 of the conference’s most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science.

Software Engineering Research, Management and Applications

Roger Lee
Software Engineering Research Management and Applications Book PDF

Author : Roger Lee
Publisher : Springer
Page : 199 pages
File Size : 42,5 Mb
Release : 2016-06-06
Category : Technology & Engineering
ISBN : 9783319339030

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Software Engineering Research, Management and Applications by Roger Lee Pdf

This edited book presents scientific results of the 14th International Conference on Software Engineering, Artificial Intelligence Research, Management and Applications (SERA 2016) held on June 8-10, 2016 at Towson University, USA. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. 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 best papers from those papers accepted for presentation at the conference. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rigorous rounds of review. This publication captures 13 of the conference’s most promising papers, and we impatiently await the important contributions that we know these authors will bring to the field of computer and information science.

Computational Intelligence Applications for Software Engineering Problems

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

Author : Parma Nand,Nitin Rakesh,Arun Prakash Agrawal,Vishal Jain
Publisher : CRC Press
Page : 317 pages
File Size : 43,7 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.

Computational Intelligence and Quantitative Software Engineering

Witold Pedrycz,Giancarlo Succi,Alberto Sillitti
Computational Intelligence and Quantitative Software Engineering Book PDF

Author : Witold Pedrycz,Giancarlo Succi,Alberto Sillitti
Publisher : Springer
Page : 207 pages
File Size : 50,9 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.

Readings in Artificial Intelligence and Software Engineering

Charles Rich,Richard C. Waters
Readings in Artificial Intelligence and Software Engineering Book PDF

Author : Charles Rich,Richard C. Waters
Publisher : Morgan Kaufmann
Page : 624 pages
File Size : 46,7 Mb
Release : 2014-06-28
Category : Computers
ISBN : 9781483214429

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Readings in Artificial Intelligence and Software Engineering by Charles Rich,Richard C. Waters Pdf

Readings in Artificial Intelligence and Software Engineering covers the main techniques and application of artificial intelligence and software engineering. The ultimate goal of artificial intelligence applied to software engineering is automatic programming. Automatic programming would allow a user to simply say what is wanted and have a program produced completely automatically. This book is organized into 11 parts encompassing 34 chapters that specifically tackle the topics of deductive synthesis, program transformations, program verification, and programming tutors. The opening parts provide an introduction to the key ideas to the deductive approach, namely the correspondence between theorems and specifications and between constructive proofs and programs. These parts also describes automatic theorem provers whose development has be designed for the programming domain. The subsequent parts present generalized program transformation systems, the problems involved in using natural language input, the features of very high level languages, and the advantages of the programming by example system. Other parts explore the intelligent assistant approach and the significance and relation of programming knowledge in other programming system. The concluding parts focus on the features of the domain knowledge system and the artificial intelligence programming. Software engineers and designers and computer programmers, as well as researchers in the field of artificial intelligence will find this book invaluable.

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

Roger Lee
Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing Book PDF

Author : Roger Lee
Publisher : Springer Nature
Page : 262 pages
File Size : 55,9 Mb
Release : 2019-08-22
Category : Technology & Engineering
ISBN : 9783030264284

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

This book presents the outcomes of the 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2019), which was held on July 8–10, 2019, in Toyama, Japan. The aim of the conference was to bring together researchers and scientists, businesspeople and entrepreneurs, teachers, engineers, computer users, and students to discuss the various fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Further, they presented research results on all aspects (theory, applications and tools) of computer and information science, and discussed the practical challenges encountered in their work and the solutions they adopted to overcome them. The book highlights the best papers from those accepted for presentation at the conference. They were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round, 15 of the conference’s most promising papers were selected for this Springer (SCI) book and not the conference proceedings. We eagerly await the important contributions that we know these authors will make to the field of computer and information science.

Applied Computational Intelligence and Soft Computing in Engineering

Khalid, Saifullah
Applied Computational Intelligence and Soft Computing in Engineering Book PDF

Author : Khalid, Saifullah
Publisher : IGI Global
Page : 340 pages
File Size : 55,7 Mb
Release : 2017-09-13
Category : Computers
ISBN : 9781522531302

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Applied Computational Intelligence and Soft Computing in Engineering by Khalid, Saifullah Pdf

Although computational intelligence and soft computing are both well-known fields, using computational intelligence and soft computing in conjunction is an emerging concept. This combination can effectively be used in practical areas of various fields of research. Applied Computational Intelligence and Soft Computing in Engineering is an essential reference work featuring the latest scholarly research on the concepts, paradigms, and algorithms of computational intelligence and its constituent methodologies such as evolutionary computation, neural networks, and fuzzy logic. Including coverage on a broad range of topics and perspectives such as cloud computing, sampling in optimization, and swarm intelligence, this publication is ideally designed for engineers, academicians, technology developers, researchers, and students seeking current research on the benefits of applying computation intelligence techniques to engineering and technology.