Meta Heuristic Techniques in Software Engineering and Its Applications

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Publisher : Springer Nature
ISBN 13 : 3031117131
Total Pages : 368 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Meta Heuristic Techniques in Software Engineering and Its Applications by : Mihir Narayan Mohanty

Download or read book Meta Heuristic Techniques in Software Engineering and Its Applications written by Mihir Narayan Mohanty and published by Springer Nature. This book was released on 2022-10-17 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses an integration of machine learning with metaheuristic techniques that provide more robust and efficient ways to address traditional optimization problems. Modern metaheuristic techniques, along with their main characteristics and recent applications in artificial intelligence, software engineering, data mining, planning and scheduling, logistics and supply chains, are discussed in this book and help global leaders in fast decision making by providing quality solutions to important problems in business, engineering, economics and science. Novel ways are also discovered to attack unsolved problems in software testing and machine learning. The discussion on foundations of optimization and algorithms leads beginners to apply current approaches to optimization problems. The discussed metaheuristic algorithms include genetic algorithms, simulated annealing, ant algorithms, bee algorithms and particle swarm optimization. New developments on metaheuristics attract researchers and practitioners to apply hybrid metaheuristics in real scenarios.

Meta-heuristic Optimization Techniques

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110716216
Total Pages : 202 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Meta-heuristic Optimization Techniques by : Anuj Kumar

Download or read book Meta-heuristic Optimization Techniques written by Anuj Kumar and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-01-19 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offer a thorough overview of the most popular and researched meta-heuristic optimization techniques and nature inspired algorithms. Their wide applicability makes them a hot research topic and an efficient tool for the solution of complex optimization problems in various field of sciences, engineering and in numerous industries.

SOFTWARE ENGINEERING USING METAHEURISTIC ALGORITHMS

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Publisher : Lulu.com
ISBN 13 : 1678146102
Total Pages : 148 pages
Book Rating : 4.6/5 (781 download)

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Book Synopsis SOFTWARE ENGINEERING USING METAHEURISTIC ALGORITHMS by : Dr. M Sunil Kumar

Download or read book SOFTWARE ENGINEERING USING METAHEURISTIC ALGORITHMS written by Dr. M Sunil Kumar and published by Lulu.com. This book was released on with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Research Anthology on Agile Software, Software Development, and Testing

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Publisher : IGI Global
ISBN 13 : 1668437031
Total Pages : 2164 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Research Anthology on Agile Software, Software Development, and Testing by : Management Association, Information Resources

Download or read book Research Anthology on Agile Software, Software Development, and Testing written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-11-26 with total page 2164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software development continues to be an ever-evolving field as organizations require new and innovative programs that can be implemented to make processes more efficient, productive, and cost-effective. Agile practices particularly have shown great benefits for improving the effectiveness of software development and its maintenance due to their ability to adapt to change. It is integral to remain up to date with the most emerging tactics and techniques involved in the development of new and innovative software. The Research Anthology on Agile Software, Software Development, and Testing is a comprehensive resource on the emerging trends of software development and testing. This text discusses the newest developments in agile software and its usage spanning multiple industries. Featuring a collection of insights from diverse authors, this research anthology offers international perspectives on agile software. Covering topics such as global software engineering, knowledge management, and product development, this comprehensive resource is valuable to software developers, software engineers, computer engineers, IT directors, students, managers, faculty, researchers, and academicians.

Optimization of Automated Software Testing Using Meta-Heuristic Techniques

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Author :
Publisher : Springer Nature
ISBN 13 : 3031072979
Total Pages : 189 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Optimization of Automated Software Testing Using Meta-Heuristic Techniques by : Manju Khari

Download or read book Optimization of Automated Software Testing Using Meta-Heuristic Techniques written by Manju Khari and published by Springer Nature. This book was released on 2022-09-26 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides awareness of different evolutionary methods used for automatic generation and optimization of test data in the field of software testing. While the book highlights on the foundations of software testing techniques, it also focuses on contemporary topics for research and development. This book covers the automated process of testing in different levels like unit level, integration level, performance level, evaluation of testing strategies, testing in security level, optimizing test cases using various algorithms, and controlling and monitoring the testing process etc. This book aids young researchers in the field of optimization of automated software testing, provides academics with knowledge on the emerging field of AI in software development, and supports universities, research centers, and industries in new projects using AI in software testing. ​Supports the advancement in the artificial intelligence used in software development; Advances knowledge on artificial intelligence based metaheuristic approach in software testing; Encourages innovation in traditional software testing field using recent artificial intelligence. ·

Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects

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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.

Software Engineering

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Publisher : Springer
ISBN 13 : 9811088489
Total Pages : 724 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Software Engineering by : M. N. Hoda

Download or read book Software Engineering written by M. N. Hoda and published by Springer. This book was released on 2018-06-12 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. They cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This book focuses on Software Engineering, and informs readers about the state of the art in software engineering by gathering high-quality papers that represent the outcomes of consolidated research and innovations in Software Engineering and related areas. In addition to helping practitioners and researchers understand the chief issues involved in designing, developing, evolving and validating complex software systems, it provides comprehensive information on developing professional careers in Software Engineering. It also provides insights into various research issues such as software reliability, verification and validation, security and extensibility, as well as the latest concepts like component-based development, software process models, process-driven systems and human-computer collaborative systems.

Engineering Optimization

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Publisher : John Wiley & Sons
ISBN 13 : 0470640413
Total Pages : 377 pages
Book Rating : 4.4/5 (76 download)

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Book Synopsis Engineering Optimization by : Xin-She Yang

Download or read book Engineering Optimization written by Xin-She Yang and published by John Wiley & Sons. This book was released on 2010-07-20 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, Engineering Optimization: An Introduction with Metaheuristic Applications outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insightful examples from various fields of study, the author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms. The author introduces all major metaheuristic algorithms and their applications in optimization through a presentation that is organized into three succinct parts: Foundations of Optimization and Algorithms provides a brief introduction to the underlying nature of optimization and the common approaches to optimization problems, random number generation, the Monte Carlo method, and the Markov chain Monte Carlo method Metaheuristic Algorithms presents common metaheuristic algorithms in detail, including genetic algorithms, simulated annealing, ant algorithms, bee algorithms, particle swarm optimization, firefly algorithms, and harmony search Applications outlines a wide range of applications that use metaheuristic algorithms to solve challenging optimization problems with detailed implementation while also introducing various modifications used for multi-objective optimization Throughout the book, the author presents worked-out examples and real-world applications that illustrate the modern relevance of the topic. A detailed appendix features important and popular algorithms using MATLAB® and Octave software packages, and a related FTP site houses MATLAB code and programs for easy implementation of the discussed techniques. In addition, references to the current literature enable readers to investigate individual algorithms and methods in greater detail. Engineering Optimization: An Introduction with Metaheuristic Applications is an excellent book for courses on optimization and computer simulation at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners working in the fields of mathematics, engineering, computer science, operations research, and management science who use metaheuristic algorithms to solve problems in their everyday work.

Advances in Machine Learning Applications in Software Engineering

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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.

Machine Learning: Concepts, Methodologies, Tools and Applications

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Publisher : IGI Global
ISBN 13 : 1609608194
Total Pages : 2174 pages
Book Rating : 4.6/5 (96 download)

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Book Synopsis Machine Learning: Concepts, Methodologies, Tools and Applications by : Management Association, Information Resources

Download or read book Machine Learning: Concepts, Methodologies, Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2011-07-31 with total page 2174 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This reference offers a wide-ranging selection of key research in a complex field of study,discussing topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets"--Provided by publishe

Advances in Software Engineering

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Publisher : Springer
ISBN 13 : 3642175783
Total Pages : 347 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Advances in Software Engineering by : Haeng-kon Kim

Download or read book Advances in Software Engineering written by Haeng-kon Kim and published by Springer. This book was released on 2010-11-26 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to the Proceedings of the 2010 International Conference on Advanced Software Engineering and Its Applications (ASEA 2010) – one of the partnering events of the Second International Mega-Conference on Future Generation Information Technology (FGIT 2010). ASEA brings together researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects of software engineering, including its links to computational sciences, mathematics and information technology. In total, 1,630 papers were submitted to FGIT 2010 from 30 countries, which includes 175 papers submitted to ASEA 2010. The submitted papers went through a rigorous reviewing process: 395 of the 1,630 papers were accepted for FGIT 2010, while 40 papers were accepted for ASEA 2010. Of the 640 papers were selected for the special FGIT 2010 volume published by Springer in the LNCS series. 32 papers are published in this volume, and 2 papers were withdrawn due to technical reasons. We would like to acknowledge the great effort of the ASEA 2010 International Advisory Board and members of the International Program Committee, as well as all the organizations and individuals who supported the idea of publishing this volume of proceedings, including SERSC and Springer. Also, the success of the conference would not have been possible without the huge support from our sponsors and the work of the Chairs and Organizing Committee.

Computational Intelligence Techniques and Their Applications to Software Engineering Problems

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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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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.

Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques

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Publisher : IGI Global
ISBN 13 : 1615208100
Total Pages : 282 pages
Book Rating : 4.6/5 (152 download)

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Book Synopsis Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques by : Chis, Monica

Download or read book Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques written by Chis, Monica and published by IGI Global. This book was released on 2010-06-30 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques lays the foundation for the successful integration of evolutionary computation into software engineering. It surveys techniques ranging from genetic algorithms, to swarm optimization theory, to ant colony optimization, demonstrating their uses and capabilities. These techniques are applied to aspects of software engineering such as software testing, quality assessment, reliability assessment, and fault prediction models, among others, to providing researchers, scholars and students with the knowledge needed to expand this burgeoning application.

Essays and Surveys in Metaheuristics

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Publisher : Springer Science & Business Media
ISBN 13 : 1461515076
Total Pages : 647 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Essays and Surveys in Metaheuristics by : Celso C. Ribeiro

Download or read book Essays and Surveys in Metaheuristics written by Celso C. Ribeiro and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finding exact solutions to many combinatorial optimization problems in busi ness, engineering, and science still poses a real challenge, despite the impact of recent advances in mathematical programming and computer technology. New fields of applications, such as computational biology, electronic commerce, and supply chain management, bring new challenges and needs for algorithms and optimization techniques. Metaheuristics are master procedures that guide and modify the operations of subordinate heuristics, to produce improved approx imate solutions to hard optimization problems with respect to more simple algorithms. They also provide fast and robust tools, producing high-quality solutions in reasonable computation times. The field of metaheuristics has been fast evolving in recent years. Tech niques such as simulated annealing, tabu search, genetic algorithms, scatter search, greedy randomized adaptive search, variable neighborhood search, ant systems, and their hybrids are currently among the most efficient and robust optimization strategies to find high-quality solutions to many real-life optimiza tion problems. A very large nmnber of successful applications of metaheuristics are reported in the literature and spread throughout many books, journals, and conference proceedings. A series of international conferences entirely devoted to the theory, applications, and computational developments in metaheuristics has been attracting an increasing number of participants, from universities and the industry.

Meta-Heuristics

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Publisher : Springer Science & Business Media
ISBN 13 : 1461313619
Total Pages : 676 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Meta-Heuristics by : Ibrahim H. Osman

Download or read book Meta-Heuristics written by Ibrahim H. Osman and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: Meta-heuristics have developed dramatically since their inception in the early 1980s. They have had widespread success in attacking a variety of practical and difficult combinatorial optimization problems. These families of approaches include, but are not limited to greedy random adaptive search procedures, genetic algorithms, problem-space search, neural networks, simulated annealing, tabu search, threshold algorithms, and their hybrids. They incorporate concepts based on biological evolution, intelligent problem solving, mathematical and physical sciences, nervous systems, and statistical mechanics. Since the 1980s, a great deal of effort has been invested in the field of combinatorial optimization theory in which heuristic algorithms have become an important area of research and applications. This volume is drawn from the first conference on Meta-Heuristics and contains 41 papers on the state-of-the-art in heuristic theory and applications. The book treats the following meta-heuristics and applications: Genetic Algorithms, Simulated Annealing, Tabu Search, Networks & Graphs, Scheduling and Control, TSP, and Vehicle Routing Problems. It represents research from the fields of Operations Research, Management Science, Artificial Intelligence and Computer Science.

ECAI 2012

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Publisher : IOS Press
ISBN 13 : 1614990980
Total Pages : 1056 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis ECAI 2012 by : C. Bessiere

Download or read book ECAI 2012 written by C. Bessiere and published by IOS Press. This book was released on 2012-08-15 with total page 1056 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) plays a vital part in the continued development of computer science and informatics. The AI applications employed in fields such as medicine, economics, linguistics, philosophy, psychology and logical analysis, not forgetting industry, are now indispensable for the effective functioning of a multitude of systems. This book presents the papers from the 20th biennial European Conference on Artificial Intelligence, ECAI 2012, held in Montpellier, France, in August 2012. The ECAI conference remains Europe's principal opportunity for researchers and practitioners of Artificial Intelligence to gather and to discuss the latest trends and challenges in all subfields of AI, as well as to demonstrate innovative applications and uses of advanced AI technology. ECAI 2012 featured four keynote speakers, an extensive workshop program, seven invited tutorials and the new Frontiers of Artificial Intelligence track, in which six invited speakers delivered perspective talks on particularly interesting new research results, directions and trends in Artificial Intelligence or in one of its related fields. The proceedings of PAIS 2012 and the System Demonstrations Track are also included in this volume, which will be of interest to all those wishing to keep abreast of the latest developments in the field of AI.