Computational Intelligence In Software Modeling
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Computational Intelligence in Software Modeling
Author | : Vishal Jain,Jyotir Moy Chatterjee,Ankita Bansal,Utku Kose,Abha Jain |
Publsiher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 216 |
Release | : 2022-02-21 |
Genre | : Computers |
ISBN | : 9783110709247 |
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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
Author | : Witold Pedrycz,James F. Peters |
Publsiher | : World Scientific |
Total Pages | : 504 |
Release | : 1998 |
Genre | : Computers |
ISBN | : 9810235038 |
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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 Advances In Fuzzy Systems Applications And Theory
Author | : James F Peters,Witold Pedrycz |
Publsiher | : World Scientific |
Total Pages | : 500 |
Release | : 1998-12-24 |
Genre | : Computers |
ISBN | : 9789814496025 |
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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 Quality Assurance
Author | : Scott Dick,Abraham Kandel |
Publsiher | : World Scientific |
Total Pages | : 199 |
Release | : 2005 |
Genre | : Computers |
ISBN | : 9789812703477 |
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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.
Computational Intelligence in Software Engineering
![Computational Intelligence in Software Engineering](https://youbookinc.com/wp-content/uploads/2024/06/cover.jpg)
Author | : Witold Pedrycz,Mehmet Aksit |
Publsiher | : Unknown |
Total Pages | : 0 |
Release | : 2004 |
Genre | : Computational intelligence |
ISBN | : OCLC:249723610 |
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Computational Intelligence in Software Modeling
Author | : Vishal Jain,Jyotir Moy Chatterjee,Ankita Bansal,Utku Kose,Abha Jain |
Publsiher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 282 |
Release | : 2022-02-21 |
Genre | : Computers |
ISBN | : 9783110709346 |
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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 Applications in Modeling and Control
Author | : Ahmad Taher Azar,Sundarapandian Vaidyanathan |
Publsiher | : Springer |
Total Pages | : 434 |
Release | : 2014-12-26 |
Genre | : Technology & Engineering |
ISBN | : 9783319110172 |
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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.
Software Engineering with Computational Intelligence
Author | : Jonathan Lee |
Publsiher | : Springer |
Total Pages | : 275 |
Release | : 2013-11-11 |
Genre | : Technology & Engineering |
ISBN | : 9783540364238 |
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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.