Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download 2016 Ieee 27th International Symposium On Software Reliability Engineering full books in PDF, epub, and Kindle. Read online 2016 Ieee 27th International Symposium On Software Reliability Engineering ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author :
Publisher :
ISBN 13 : 9781467390026
Total Pages : pages
Book Rating : 4.3/5 (9 download)
Download or read book 2016 IEEE 27th International Symposium on Software Reliability Engineering written by and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 : 9781467390019
Total Pages : pages
Book Rating : 4.3/5 (9 download)
Download or read book 2016 IEEE 27th International Symposium on Software Reliability Engineering written by and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Tadashi Dohi
Publisher : World Scientific
ISBN 13 : 9811214581
Total Pages : 424 pages
Book Rating : 4.8/5 (112 download)
Download or read book Handbook Of Software Aging And Rejuvenation: Fundamentals, Methods, Applications, And Future Directions written by Tadashi Dohi and published by World Scientific. This book was released on 2020-04-22 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Software Aging and Rejuvenation provides a comprehensive overview of the subject, making it indispensable to graduate students as well as professionals in the field. It begins by introducing fundamental concepts, definitions, and the history of software aging and rejuvenation research, followed by methods, tools, and strategies that can be used to detect, analyze, and overcome software aging.
Author : IEEE Staff
Publisher :
ISBN 13 : 9781538683224
Total Pages : pages
Book Rating : 4.6/5 (832 download)
Download or read book 2018 IEEE 29th International Symposium on Software Reliability Engineering (ISSRE) written by IEEE Staff and published by . This book was released on 2018-10-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The 29th annual International Symposium on Software Reliability Engineering (ISSRE 2018) is focused on innovative techniques and tools for assessing, predicting, and improving the reliability, safety, and security of software products ISSRE also emphasizes industrial relevance, rigorous empirical studies and experience reports on existing software systems
Author : Feng Zhao
Publisher : Springer Nature
ISBN 13 : 9819975875
Total Pages : 377 pages
Book Rating : 4.8/5 (199 download)
Download or read book AI-generated Content written by Feng Zhao and published by Springer Nature. This book was released on 2023-12-03 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the revised selected papers of the First International Conference, AIGC 2023, held in Shanghai, China, during August 25–26, 2023 The 30 full papers included in this volume were carefully reviewed and selected from 62 submissions. The volume focuses on the remarkable strides that have been made in the realm of artificial intelligence and its transformative impact on content creation. As delving into the content of the proceedings, the readers will encounter cutting-edge research findings, innovative applications, and thought-provoking insights that underscore the transformative potential of AI-generated content.
Author : W. Eric Wong
Publisher : John Wiley & Sons
ISBN 13 : 1119291828
Total Pages : 614 pages
Book Rating : 4.1/5 (192 download)
Download or read book Handbook of Software Fault Localization written by W. Eric Wong and published by John Wiley & Sons. This book was released on 2023-04-21 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Software Fault Localization A comprehensive analysis of fault localization techniques and strategies In Handbook of Software Fault Localization: Foundations and Advances, distinguished computer scientists Prof. W. Eric Wong and Prof. T.H. Tse deliver a robust treatment of up-to-date techniques, tools, and essential issues in software fault localization. The authors offer collective discussions of fault localization strategies with an emphasis on the most important features of each approach. The book also explores critical aspects of software fault localization, like multiple bugs, successful and failed test cases, coincidental correctness, faults introduced by missing code, the combination of several fault localization techniques, ties within fault localization rankings, concurrency bugs, spreadsheet fault localization, and theoretical studies on fault localization. Readers will benefit from the authors’ straightforward discussions of how to apply cost-effective techniques to a variety of specific environments common in the real world. They will also enjoy the in-depth explorations of recent research directions on this topic. Handbook of Software Fault Localization also includes: A thorough introduction to the concepts of software testing and debugging, their importance, typical challenges, and the consequences of poor efforts Comprehensive explorations of traditional fault localization techniques, including program logging, assertions, and breakpoints Practical discussions of slicing-based, program spectrum-based, and statistics-based techniques In-depth examinations of machine learning-, data mining-, and model-based techniques for software fault localization Perfect for researchers, professors, and students studying and working in the field, Handbook of Software Fault Localization: Foundations and Advances is also an indispensable resource for software engineers, managers, and software project decision makers responsible for schedule and budget control.
Author :
Publisher : Academic Press
ISBN 13 : 0128151226
Total Pages : 498 pages
Book Rating : 4.1/5 (281 download)
Download or read book Advances in Computers written by and published by Academic Press. This book was released on 2019-01-08 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Computers, Volume 112, the latest volume in a series published since 1960, presents detailed coverage of innovations in computer hardware, software, theory, design and applications. Chapters in this updated volume include Mobile Application Quality Assurance, Advances in Combinatorial Testing, Advances in Applications of Object Constraint Language for Software Engineering, Advances in Techniques for Test Prioritization, Data Warehouse Testing, Mutation Testing Advances: An Analysis and Survey, Event-Based Concurrency: Applications, Abstractions, and Analyses, and A Taxonomy of Software Integrity Protection Techniques. Provides in-depth surveys and tutorials on new computer technology Covers well-known authors and researchers in the field Presents extensive bibliographies with most chapters Includes volumes that are devoted to single themes or subfields of computer science
Author : Guozhu Dong
Publisher : CRC Press
ISBN 13 : 1351721267
Total Pages : 389 pages
Book Rating : 4.3/5 (517 download)
Download or read book Feature Engineering for Machine Learning and Data Analytics written by Guozhu Dong and published by CRC Press. This book was released on 2018-03-14 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive introduction to feature engineering, including feature generation, feature extraction, feature transformation, feature selection, and feature analysis and evaluation. The book presents key concepts, methods, examples, and applications, as well as chapters on feature engineering for major data types such as texts, images, sequences, time series, graphs, streaming data, software engineering data, Twitter data, and social media data. It also contains generic feature generation approaches, as well as methods for generating tried-and-tested, hand-crafted, domain-specific features. The first chapter defines the concepts of features and feature engineering, offers an overview of the book, and provides pointers to topics not covered in this book. The next six chapters are devoted to feature engineering, including feature generation for specific data types. The subsequent four chapters cover generic approaches for feature engineering, namely feature selection, feature transformation based feature engineering, deep learning based feature engineering, and pattern based feature generation and engineering. The last three chapters discuss feature engineering for social bot detection, software management, and Twitter-based applications respectively. This book can be used as a reference for data analysts, big data scientists, data preprocessing workers, project managers, project developers, prediction modelers, professors, researchers, graduate students, and upper level undergraduate students. It can also be used as the primary text for courses on feature engineering, or as a supplement for courses on machine learning, data mining, and big data analytics.
Author : Sunil Pathak
Publisher : CRC Press
ISBN 13 : 1000406822
Total Pages : 428 pages
Book Rating : 4.0/5 (4 download)
Download or read book Intelligent System Algorithms and Applications in Science and Technology written by Sunil Pathak and published by CRC Press. This book was released on 2022-02-03 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 21st century has witnessed massive changes around the world in intelligence systems in order to become smarter, energy efficient, reliable, and cheaper. This volume explores the application of intelligent techniques in various fields of engineering and technology. It addresses diverse topics in such areas as machine learning-based intelligent systems for healthcare, applications of artificial intelligence and the Internet of Things, intelligent data analytics techniques, intelligent network systems and applications, and inequalities and process control systems. The authors explore the full breadth of the field, which encompasses data analysis, image processing, speech processing and recognition, medical science and healthcare monitoring, smart irrigation systems, insurance and banking, robotics and process control, and more.
Author : Ivan Mistrik
Publisher : CRC Press
ISBN 13 : 1000397645
Total Pages : 427 pages
Book Rating : 4.0/5 (3 download)
Download or read book Knowledge Management in the Development of Data-Intensive Systems written by Ivan Mistrik and published by CRC Press. This book was released on 2021-06-15 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new knowledge that extends and synthesizes existing knowledge. Knowledge Management in the Development of Data-Intensive Systems addresses new challenges arising from knowledge management in the development of data-intensive software systems. These challenges concern requirements, architectural design, detailed design, implementation and maintenance. The book covers the current state and future directions of knowledge management in development of data-intensive software systems. The book features both academic and industrial contributions which discuss the role software engineering can play for addressing challenges that confront developing, maintaining and evolving systems;data-intensive software systems of cloud and mobile services; and the scalability requirements they imply. The book features software engineering approaches that can efficiently deal with data-intensive systems as well as applications and use cases benefiting from data-intensive systems. Providing a comprehensive reference on the notion of data-intensive systems from a technical and non-technical perspective, the book focuses uniquely on software engineering and knowledge management in the design and maintenance of data-intensive systems. The book covers constructing, deploying, and maintaining high quality software products and software engineering in and for dynamic and flexible environments. This book provides a holistic guide for those who need to understand the impact of variability on all aspects of the software life cycle. It leverages practical experience and evidence to look ahead at the challenges faced by organizations in a fast-moving world with increasingly fast-changing customer requirements and expectations.
Author : Sahar Tahvili
Publisher : Academic Press
ISBN 13 : 0323912826
Total Pages : 232 pages
Book Rating : 4.3/5 (239 download)
Download or read book Artificial Intelligence Methods for Optimization of the Software Testing Process written by Sahar Tahvili and published by Academic Press. This book was released on 2022-07-21 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence Methods for Optimization of the Software Testing Process: With Practical Examples and Exercises presents different AI-based solutions for overcoming the uncertainty found in many initial testing problems. The concept of intelligent decision making is presented as a multi-criteria, multi-objective undertaking. The book provides guidelines on how to manage diverse types of uncertainty with intelligent decision-making that can help subject matter experts in many industries improve various processes in a more efficient way. As the number of required test cases for testing a product can be large (in industry more than 10,000 test cases are usually created). Executing all these test cases without any particular order can impact the results of the test execution, hence this book fills the need for a comprehensive resource on the topics on the how's, what's and whys. To learn more about Elsevier’s Series, Uncertainty, Computational Techniques and Decision Intelligence, please visit this link: https://www.elsevier.com/books-and-journals/book-series/uncertainty-computational-techniques-and-decision-intelligence Presents one of the first empirical studies in the field, contrasting theoretical assumptions on innovations in a real industrial environment with a large set of use cases from developed and developing testing processes at various large industries Explores specific comparative methodologies, focusing on developed and developing AI-based solutions Serves as a guideline for conducting industrial research in the artificial intelligence and software testing domain Explains all proposed solutions through real industrial case studies
Author : Thelma Elita Colanzi
Publisher : Springer
ISBN 13 : 3319992414
Total Pages : 393 pages
Book Rating : 4.3/5 (199 download)
Download or read book Search-Based Software Engineering written by Thelma Elita Colanzi and published by Springer. This book was released on 2018-08-23 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Symposium on Search-Based Software Engineering, SSBSE 2018, held in Montpellier, France, in September 2018. The 12 full papers and 7 short papers presented together with 3 keynotes, 2 tutorials, and 1 anniversary paper were carefully reviewed and selected from 21 submissions. SSBSE welcomes not only applications from throughout the software engineering lifecycle but also a broad range of search methods ranging from exact Operational Research techniques to nature-inspired algorithms and simulated annealing. Chapter "Deploying Search Based Software Engineering with Sapienz at Facebook" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Author : Asit Kumar Das
Publisher : Springer Nature
ISBN 13 : 9811524491
Total Pages : 593 pages
Book Rating : 4.8/5 (115 download)
Download or read book Computational Intelligence in Pattern Recognition written by Asit Kumar Das and published by Springer Nature. This book was released on 2020-02-19 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features high-quality research papers presented at the 2nd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2020), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 4–5 January 2020. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.
Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1799891593
Total Pages : 904 pages
Book Rating : 4.7/5 (998 download)
Download or read book Research Anthology on Usage and Development of Open Source Software written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-06-25 with total page 904 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quick growth of computer technology and development of software caused it to be in a constant state of change and advancement. This advancement in software development meant that there would be many types of software developed in order to excel in usability and efficiency. Among these different types of software was open source software, one that grants permission for users to use, study, change, and distribute it freely. Due to its availability, open source software has quickly become a valuable asset to the world of computer technology and across various disciplines including education, business, and library science. The Research Anthology on Usage and Development of Open Source Software presents comprehensive research on the design and development of open source software as well as the ways in which it is used. The text discusses in depth the way in which this computer software has been made into a collaborative effort for the advancement of software technology. Discussing topics such as ISO standards, big data, fault prediction, open collaboration, and software development, this anthology is essential for computer engineers, software developers, IT specialists and consultants, instructors, librarians, managers, executives, professionals, academicians, researchers, and students.
Author : Long Wang
Publisher : Springer Nature
ISBN 13 : 3031020634
Total Pages : 429 pages
Book Rating : 4.0/5 (31 download)
Download or read book System Dependability and Analytics written by Long Wang and published by Springer Nature. This book was released on 2022-07-25 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises chapters authored by experts who are professors and researchers in internationally recognized universities and research institutions. The book presents the results of research and descriptions of real-world systems, services, and technologies. Reading this book, researchers, professional practitioners, and graduate students will gain a clear vision on the state of the art of the research and real-world practice on system dependability and analytics. The book is published in honor of Professor Ravishankar K. Iyer, the George and Ann Fisher Distinguished Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign (UIUC), Urbana, Illinois. Professor Iyer is ACM Fellow, IEEE Fellow, AAAS Fellow, and served as Interim Vice Chancellor of UIUC for research during 2008–2011. The book contains chapters written by many of his former students.
Author : Radek Silhavy
Publisher : Springer Nature
ISBN 13 : 3030519651
Total Pages : 621 pages
Book Rating : 4.0/5 (35 download)
Download or read book Intelligent Algorithms in Software Engineering written by Radek Silhavy and published by Springer Nature. This book was released on 2020-08-08 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the refereed proceedings of the Intelligent Algorithms in Software Engineering Section of the 9th Computer Science On-line Conference 2020 (CSOC 2020), held on-line in April 2020. Software engineering research and its applications to intelligent algorithms have now assumed an essential role in computer science research. In this book, modern research methods, together with applications of machine and statistical learning in software engineering research, are presented.
Author : David Naccache
Publisher : Springer
ISBN 13 : 3030019500
Total Pages : 818 pages
Book Rating : 4.0/5 (3 download)
Download or read book Information and Communications Security written by David Naccache and published by Springer. This book was released on 2018-10-26 with total page 818 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 20th International Conference on Information and Communications Security, ICICS 2018, held in Lille, France, in October 2018. The 39 revised full papers and 11 short papers presented were carefully selected from 202 submissions. The papers are organized in topics on blockchain technology, malware, botnet and network security, real-world cryptography, encrypted computing, privacy protection, signature schemes, attack analysis and detection, searchable encryption and identity-based cryptography, verifiable storage and computing, applied cryptography, supporting techniques, formal analysis and cryptanalysis, attack detection, and security management.
