Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Mining Software Specifications
Download Mining Software Specifications full books in PDF, epub, and Kindle. Read online Mining Software Specifications ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Mining Software Specifications by : David Lo
Download or read book Mining Software Specifications written by David Lo and published by CRC Press. This book was released on 2011-05-24 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: An emerging topic in software engineering and data mining, specification mining tackles software maintenance and reliability issues that cost economies billions of dollars each year. The first unified reference on the subject, Mining Software Specifications: Methodologies and Applications describes recent approaches for mining specifications of sof
Book Synopsis Software Applications: Concepts, Methodologies, Tools, and Applications by : Tiako, Pierre F.
Download or read book Software Applications: Concepts, Methodologies, Tools, and Applications written by Tiako, Pierre F. and published by IGI Global. This book was released on 2009-03-31 with total page 3994 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes articles in topic areas such as autonomic computing, operating system architectures, and open source software technologies and applications.
Book Synopsis Mining Software Engineering Data for Software Reuse by : Themistoklis Diamantopoulos
Download or read book Mining Software Engineering Data for Software Reuse written by Themistoklis Diamantopoulos and published by Springer Nature. This book was released on 2020-03-30 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph discusses software reuse and how it can be applied at different stages of the software development process, on different types of data and at different levels of granularity. Several challenging hypotheses are analyzed and confronted using novel data-driven methodologies, in order to solve problems in requirements elicitation and specification extraction, software design and implementation, as well as software quality assurance. The book is accompanied by a number of tools, libraries and working prototypes in order to practically illustrate how the phases of the software engineering life cycle can benefit from unlocking the potential of data. Software engineering researchers, experts, and practitioners can benefit from the various methodologies presented and can better understand how knowledge extracted from software data residing in various repositories can be combined and used to enable effective decision making and save considerable time and effort through software reuse. Mining Software Engineering Data for Software Reuse can also prove handy for graduate-level students in software engineering.
Book Synopsis The Art and Science of Analyzing Software Data by : Christian Bird
Download or read book The Art and Science of Analyzing Software Data written by Christian Bird and published by Elsevier. This book was released on 2015-09-02 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to master data science. The book covers topics such as the analysis of security data, code reviews, app stores, log files, and user telemetry, among others. It covers a wide variety of techniques such as co-change analysis, text analysis, topic analysis, and concept analysis, as well as advanced topics such as release planning and generation of source code comments. It includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source, present results to stakeholders, and drive decisions. - Presents best practices, hints, and tips to analyze data and apply tools in data science projects - Presents research methods and case studies that have emerged over the past few years to further understanding of software data - Shares stories from the trenches of successful data science initiatives in industry
Book Synopsis Theoretical Aspects of Software Engineering by : Yamine Aït-Ameur
Download or read book Theoretical Aspects of Software Engineering written by Yamine Aït-Ameur and published by Springer Nature. This book was released on 2022-07-01 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 16th International Conference on Theoretical Aspects of Software Engineering, TASE 2022, held in Cluj-Napoca, Romania, July 2022. The 21 full regular papers presented together with 5 short papers in this book were carefully reviewed and selected from 71 submissions. The topics of the papers covering various fields in software engineering and the latest developments in in formal and theoretical software engineering methods and techniques.
Book Synopsis Requirements Engineering: Foundation for Software Quality by : Eric Knauss
Download or read book Requirements Engineering: Foundation for Software Quality written by Eric Knauss and published by Springer. This book was released on 2019-03-11 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 25th International Working Conference on Requirements Engineering - Foundation for Software Quality, REFSQ 2019, held in Essen, Germany, in March 2019. The 13 full papers and 9 short papers in this volume were carefully reviewed and selected from 66 submissions. The papers were organized in topical sections named: Automated Analysis; Making Sense of Requirements; Tracelink Quality; Requirements Management (Research Previews); From Vision to Specification; Automated Analysis (Research Previews); Requirements Monitoring; Open Source; Managing Requirements Knowledge at a Large Scale; in Situ/Walkthroughs (Research previews).
Book Synopsis New Trends in Software Methodologies, Tools and Techniques by : Hamido Fujita
Download or read book New Trends in Software Methodologies, Tools and Techniques written by Hamido Fujita and published by IOS Press. This book was released on 2008 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: "New Trends in Software Methodologies, Tools and Techniques, as part of the SoMeT series, contributes to new trends and theories in the direction in which the editors believe software science and engineering may develop in order to transform the role of software and science integration in tomorrow s global information society. This book is an attempt to capture the essence of a new state-of-the-art in software science and its supporting technology. Aiming at identifying the challenges such a technology has to master. It contains extensively reviewed papers given at the Seventh International Conference on New Trends in Software Methodology Tools, and Techniques (SoMeT08) held in Sharjah, United Arab Emirates. One of the important issues addressed in this book is handling cognitive issues on software development to adapt to user mental state. Tools and techniques have been contributed here. Another aspect challenged in this conference was intelligent software design in software security. This book, and the series, will also contribute to the elaboration on such new trends and related academic research studies and development."--BOOK JACKET.
Book Synopsis Engineering of Software by : Peri L. Tarr
Download or read book Engineering of Software written by Peri L. Tarr and published by Springer Science & Business Media. This book was released on 2011-04-07 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software engineering research can trace its roots to a few highly influential individuals. Among that select group is Leon J. Osterweil, who has been a major force in driving software engineering from its infancy to its modern reality. For more than three decades, Prof. Osterweil's work has fundamentally defined or significantly impacted major directions in software analysis, development tools and environments, and software process--all critical parts of software engineering as it is practiced today. His exceptional contributions to the field have been recognized with numerous awards and honors through his career, including the ACM SIGSOFT Outstanding Research Award, in recognition of his extensive and sustained research impact, and the ACM SIGSOFT Influential Educator Award, in recognition of his career-long achievements as an educator and mentor. In honor of Prof. Osterweil's profound accomplishments, this book was prepared for a special honorary event held during the 2011 International Conference on Software Engineering (ICSE). It contains some of his most important published works to date, together with several new articles written by leading authorities in the field, exploring the broad impact of his work in the past and how it will further impact software engineering research in the future. These papers, part of the core software engineering legacy and now available in one commented volume for the first time, are grouped into three sections: flow analysis for software dependability, the software lifecycle, and software process.
Book Synopsis Healthcare Data Analytics by : Chandan K. Reddy
Download or read book Healthcare Data Analytics written by Chandan K. Reddy and published by CRC Press. This book was released on 2015-06-23 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available
Book Synopsis Data Classification by : Charu C. Aggarwal
Download or read book Data Classification written by Charu C. Aggarwal and published by CRC Press. This book was released on 2014-07-25 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive Coverage of the Entire Area of Classification Research on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data Classification: Algorithms and Applications explores the underlying algorithms of classification as well as applications of classification in a variety of problem domains, including text, multimedia, social network, and biological data. This comprehensive book focuses on three primary aspects of data classification: Methods: The book first describes common techniques used for classification, including probabilistic methods, decision trees, rule-based methods, instance-based methods, support vector machine methods, and neural networks. Domains: The book then examines specific methods used for data domains such as multimedia, text, time-series, network, discrete sequence, and uncertain data. It also covers large data sets and data streams due to the recent importance of the big data paradigm. Variations: The book concludes with insight on variations of the classification process. It discusses ensembles, rare-class learning, distance function learning, active learning, visual learning, transfer learning, and semi-supervised learning as well as evaluation aspects of classifiers.
Book Synopsis Computational Business Analytics by : Subrata Das
Download or read book Computational Business Analytics written by Subrata Das and published by CRC Press. This book was released on 2013-12-14 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. The author first covers core descriptive and inferential statistics for analytics and then enhances numerical statistical techniques with symbolic artificial intelligence and machine learning techniques for richer predictive and prescriptive analytics. Through many examples and challenging case studies from a variety of fields, practitioners easily see the connections to their own problems and can then formulate their own solution strategies.
Book Synopsis Fundamental Approaches to Software Engineering by : Marsha Chechik
Download or read book Fundamental Approaches to Software Engineering written by Marsha Chechik and published by Springer Science & Business Media. This book was released on 2009-03-09 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference on Fundamental Approaches to Software Engineering, FASE 2009, held in York, UK, in March 2009, as part of ETAPS 2009, the European Joint Conferences on Theory and Practice of Software. The 30 revised full papers presented together with 2 tool demonstrations were carefully reviewed and selected from 123 regluar and 9 tool paper submissions. The topics addressed are model-driven development, synthesis and adaptation, modeling, testing and debugging, model analysis, patterns, security, queries and error handling, and tools (demos) and program analysis.
Book Synopsis Social Networks with Rich Edge Semantics by : Quan Zheng
Download or read book Social Networks with Rich Edge Semantics written by Quan Zheng and published by CRC Press. This book was released on 2017-08-15 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social Networks with Rich Edge Semantics introduces a new mechanism for representing social networks in which pairwise relationships can be drawn from a range of realistic possibilities, including different types of relationships, different strengths in the directions of a pair, positive and negative relationships, and relationships whose intensities change with time. For each possibility, the book shows how to model the social network using spectral embedding. It also shows how to compose the techniques so that multiple edge semantics can be modeled together, and the modeling techniques are then applied to a range of datasets. Features Introduces the reader to difficulties with current social network analysis, and the need for richer representations of relationships among nodes, including accounting for intensity, direction, type, positive/negative, and changing intensities over time Presents a novel mechanism to allow social networks with qualitatively different kinds of relationships to be described and analyzed Includes extensions to the important technique of spectral embedding, shows that they are mathematically well motivated and proves that their results are appropriate Shows how to exploit embeddings to understand structures within social networks, including subgroups, positional significance, link or edge prediction, consistency of role in different contexts, and net flow of properties through a node Illustrates the use of the approach for real-world problems for online social networks, criminal and drug smuggling networks, and networks where the nodes are themselves groups Suitable for researchers and students in social network research, data science, statistical learning, and related areas, this book will help to provide a deeper understanding of real-world social networks.
Book Synopsis Intelligent Technologies for Web Applications by : Priti Srinivas Sajja
Download or read book Intelligent Technologies for Web Applications written by Priti Srinivas Sajja and published by CRC Press. This book was released on 2016-04-19 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference presents both fundamental and advanced topics and related to Web operations. Using an integrated approach, the authors describe the basics as well as latest trends in the area. They cover agent-based Web, wrapper induction, Web mining, information retrieval, Web knowledge management, and social networks. The text includes a host of examples and over 100 illustrations that clarify complex material. It also contains many bibliographical notes, end-of-chapter exercises, glossaries, and practice questions with solutions/hints.
Book Synopsis Foundations of Predictive Analytics by : James Wu
Download or read book Foundations of Predictive Analytics written by James Wu and published by CRC Press. This book was released on 2012-02-15 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on the authors’ two decades of experience in applied modeling and data mining, Foundations of Predictive Analytics presents the fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior modeling, risk and marketing analytics, and other areas. It also discusses a variety of practical topics that are frequently missing from similar texts. The book begins with the statistical and linear algebra/matrix foundation of modeling methods, from distributions to cumulant and copula functions to Cornish–Fisher expansion and other useful but hard-to-find statistical techniques. It then describes common and unusual linear methods as well as popular nonlinear modeling approaches, including additive models, trees, support vector machine, fuzzy systems, clustering, naïve Bayes, and neural nets. The authors go on to cover methodologies used in time series and forecasting, such as ARIMA, GARCH, and survival analysis. They also present a range of optimization techniques and explore several special topics, such as Dempster–Shafer theory. An in-depth collection of the most important fundamental material on predictive analytics, this self-contained book provides the necessary information for understanding various techniques for exploratory data analysis and modeling. It explains the algorithmic details behind each technique (including underlying assumptions and mathematical formulations) and shows how to prepare and encode data, select variables, use model goodness measures, normalize odds, and perform reject inference. Web Resource The book’s website at www.DataMinerXL.com offers the DataMinerXL software for building predictive models. The site also includes more examples and information on modeling.
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 370 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.
Book Synopsis Database Systems for Advanced Applications by : Jayant R. Haritsa
Download or read book Database Systems for Advanced Applications written by Jayant R. Haritsa and published by Springer. This book was released on 2008-04-03 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: Coverage in this proceedings includes XML schemas, data mining, spatial data, indexes and cubes, data streams, P2P and transactions, complex pattern processing, IR techniques, queries and transactions, XML databases, data warehouses, and distributed data.
