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Optimization of Automated Software Testing Using Meta-Heuristic Techniques, Khari


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Автор: Khari
Название:  Optimization of Automated Software Testing Using Meta-Heuristic Techniques
ISBN: 9783031072963
Издательство: Springer
Классификация:

ISBN-10: 3031072960
Обложка/Формат: Hardback
Страницы: 184
Вес: 0.47 кг.
Дата издания: 11.10.2022
Серия: EAI/Springer Innovations in Communication and Computing
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 51 illustrations, color; 13 illustrations, black and white; x, 184 p. 64 illus., 51 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 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. ·
Дополнительное описание: Introduction.- Testing Fundamentals.- Strategies and Methods For Test Cases.- Automated Testing Levels.- Polices and Plans for Testing.- Test Organization.- Controlling and Monitoring Testing Process.- Evaluating Automated Software Quality.- Defect Analys



Heuristic Search,

Автор: Stefan Edelkamp
Название: Heuristic Search,
ISBN: 0123725127 ISBN-13(EAN): 9780123725127
Издательство: Elsevier Science
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Цена: 10004.00 р. 11115.00 -10%
Наличие на складе: Есть (1 шт.)
Описание: Search has been vital to artificial intelligence from the very beginning as a core technique in problem solving. This title presents a thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and application to real-world problems.

Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms

Автор: Eftimov
Название: Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms
ISBN: 3030969169 ISBN-13(EAN): 9783030969165
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Focusing on comprehensive comparisons of the performance of stochastic optimization algorithms, this book provides an overview of the current approaches used to analyze algorithm performance in a range of common scenarios, while also addressing issues that are often overlooked. In turn, it shows how these issues can be easily avoided by applying the principles that have produced Deep Statistical Comparison and its variants. The focus is on statistical analyses performed using single-objective and multi-objective optimization data. At the end of the book, examples from a recently developed web-service-based e-learning tool (DSCTool) are presented. The tool provides users with all the functionalities needed to make robust statistical comparison analyses in various statistical scenarios. The book is intended for newcomers to the field and experienced researchers alike. For newcomers, it covers the basics of optimization and statistical analysis, familiarizing them with the subject matter before introducing the Deep Statistical Comparison approach. Experienced researchers can quickly move on to the content on new statistical approaches. The book is divided into three parts: Part I: Introduction to optimization, benchmarking, and statistical analysis – Chapters 2-4. Part II: Deep Statistical Comparison of meta-heuristic stochastic optimization algorithms – Chapters 5-7. Part III: Implementation and application of Deep Statistical Comparison – Chapter 8.

Portfolio Management with Heuristic Optimization

Автор: Dietmar G. Maringer
Название: Portfolio Management with Heuristic Optimization
ISBN: 1441938427 ISBN-13(EAN): 9781441938428
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The second part (Applications and Contributions) consists of five chapters, covering different problems in financial optimization: the effects of (linear, proportional and combined) transaction costs together with integer constraints and limitations on the initital endowment to be invested;

Design of heuristic algorithms for hard optimization

Автор: Taillard, Eric D.
Название: Design of heuristic algorithms for hard optimization
ISBN: 3031137132 ISBN-13(EAN): 9783031137136
Издательство: Springer
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Цена: 5589.00 р.
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Описание: The book features a wealth of illustrations that allow the concepts to be understood at a glance. The book approaches the main metaheuristics from a new angle, deconstructing them into a few key concepts presented in separate chapters: construction, improvement, decomposition, randomization and learning methods.

Multiobjective Heuristic Search

Автор: Wolfgang Bibel; Pallab Dasgupta; Rudolf Kruse; P.
Название: Multiobjective Heuristic Search
ISBN: 3528057084 ISBN-13(EAN): 9783528057084
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Solutions to most real-world optimization problems involve a trade-offbetween multiple conflicting and non-commensurate objectives. Some ofthe most challenging ones are area-delay trade-off in VLSI synthesisand design space exploration, time-space trade-off in computation, andmulti-strategy games.

Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search

Автор: David L. Woodruff
Название: Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search
ISBN: 1441950230 ISBN-13(EAN): 9781441950239
Издательство: Springer
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Цена: 29209.00 р.
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Описание: Computer Science and Operations Research continue to have a synergistic relationship and this book - as a part of the Operations Research and Computer Science Interface Series - sits squarely in the center of the confluence of these two technical research communities.

A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications

Автор: Dmitri A. Viattchenin
Название: A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications
ISBN: 364244301X ISBN-13(EAN): 9783642443015
Издательство: Springer
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Цена: 16977.00 р.
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Описание: In a new approach to possibilistic clustering, the sought clustering structure of the set is based directly on the formal definition of fuzzy cluster and possibilistic memberships are determined directly from the values of the pairwise similarity of objects.

Heuristic Reasoning

Автор: Emiliano Ippoliti
Название: Heuristic Reasoning
ISBN: 3319091581 ISBN-13(EAN): 9783319091587
Издательство: Springer
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Цена: 19564.00 р.
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Описание: And how can we use findings about scientific discovery to boost funding policies, thus fostering a deeper impact of scientific discovery itself?The respective chapters in this book provide readers with answers to these questions.

Structures in Science

Автор: Theo A.F. Kuipers
Название: Structures in Science
ISBN: 9048157498 ISBN-13(EAN): 9789048157495
Издательство: Springer
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Цена: 27245.00 р.
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Описание: Although there is an abundance of highly specialized monographs, learned collections and general introductions to the philosophy of science, only a few 25 years.

Advances in Heuristic Signal Processing and Applications

Автор: Amitava Chatterjee; Hadi Nobahari; Patrick Siarry
Название: Advances in Heuristic Signal Processing and Applications
ISBN: 364244525X ISBN-13(EAN): 9783642445255
Издательство: Springer
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Цена: 18167.00 р.
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Описание:

There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and multidimensional signal processing, namely image and video processing, with the recent focus changing from a step-by-step procedure of designing the algorithm first and following up with in-depth analysis and performance improvement to instead applying heuristic-based methods to solve signal-processing problems.

In this book the contributing authors demonstrate both general-purpose algorithms and those aimed at solving specialized application problems, with a special emphasis on heuristic iterative optimization methods employing modern evolutionary and swarm intelligence based techniques. The applications considered are in domains such as communications engineering, estimation and tracking, digital filter design, wireless sensor networks, bioelectric signal classification, image denoising, and image feature tracking.

The book presents interesting, state-of-the-art methodologies for solving real-world problems and it is a suitable reference for researchers and engineers in the areas of heuristics and signal processing.

A Theory of Heuristic Information in Game-Tree Search

Автор: Chun-Hung Tzeng
Название: A Theory of Heuristic Information in Game-Tree Search
ISBN: 3642648126 ISBN-13(EAN): 9783642648120
Издательство: Springer
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Цена: 12157.00 р.
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Описание: A solution to this problem is a sequence of moves leading from the initial configuration to the goal configuration, and an optimal solution is a solution having the smallest number of moves.

Heuristic Reasoning

Автор: Emiliano Ippoliti
Название: Heuristic Reasoning
ISBN: 3319362224 ISBN-13(EAN): 9783319362229
Издательство: Springer
Рейтинг:
Цена: 14365.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: And how can we use findings about scientific discovery to boost funding policies, thus fostering a deeper impact of scientific discovery itself?The respective chapters in this book provide readers with answers to these questions.


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