Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Software defects lead to enormous costs for the software industry and society as a whole. While testing is useful to find bugs, it is insufficient to show the absence of certain kinds of errors or that a program satisfies its specification. Such high levels of software quality can be achieved by software verification, that is, by proving the correctness of a program with respect to its specification. Software verification has seen tremendous progress during the last decade; it continues to be an active research topic and is now also becoming increasingly popular among practitioners. This tutorial contains selected papers from the LASER summer Schools 2007 and 2008, both of which focused on correctness - Applied Software Verification in 2007 and Concurrency and Correctness in 2008. Topics covered include verification of fine-grain concurrency and transactions, the SCOOP model for concurrent object-oriented programming, the Spec# programming and verification system, verification in the prototype verification system PVS, and multi-core chip design.

Logic --- Computer science --- Programming --- Computer architecture. Operating systems --- Computer. Automation --- computers --- computerbesturingssystemen --- programmeren (informatica) --- programmeertalen --- software engineering --- computernetwerken

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This volume contains the proceedings of the 4th International Conference on Verified Software: Theories, Tools, and Experiments, VSTTE 2012, held in Philadelphia, PA, USA, in January 2012. The 20 revised full papers presented together with 2 invited talks and 2 tutorials were carefully revised and selected from 54 initial submissions for inclusion in the book. The goal of the VSTTE conference is to advance the state of the art through the interaction of theory development, tool evolution, and experimental validation. The papers address topics such as: specification and verification techniques, tool support for specification languages, tool for various design methodologies, tool integration and plug-ins, automation in formal verification, tool comparisons and benchmark repositories, combination of tools and techniques, customizing tools for particular applications, challenge problems, refinement methodologies, requirements modeling, specification languages, specification/verification case-studies, software design methods, and program logic.

Mathematical logic --- Logic --- Computer science --- Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- ontwerpen --- programmeren (informatica) --- programmeertalen --- wiskunde --- software engineering --- robots

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While the book can not exhaustively cover all current research areas, it does include some exemplary discussion of most research frontiers. Topics include objective Bayesian inference, shrinkage estimation and other decision based estimation, model selection and testing, nonparametric Bayes, the interface of Bayesian and frequentist inference, data mining and machine learning, methods for categorical and spatio-temporal data analysis and posterior simulation methods. Several major application areas are covered: computer models, Bayesian clinical trial design, epidemiology, phylogenetics, bioinformatics, climate modeling and applications in political science, finance and marketing. As a review of current research in Bayesian analysis the book presents a balance between theory and applications. The lack of a clear demarcation between theoretical and applied research is a reflection of the highly interdisciplinary and often applied nature of research in Bayesian statistics. The book is intended as an update for researchers in Bayesian statistics, including non-statisticians who make use of Bayesian inference to address substantive research questions in other fields. It would also be useful for graduate students and research scholars in statistics or biostatistics who wish to acquaint themselves with current research frontiers. Ming-Hui Chen is Professor of Statistics at the University of Connecticut; Dipak K. Dey is Head and Professor of Statistics at the University of Connecticut; Peter Müller is Professor of Biostatistics at the University of Texas M. D. Anderson Cancer Center; Dongchu Sun is Professor of Statistics at the University of Missouri- Columbia; and Keying Ye is Professor of Statistics at the University of Texas at San Antonio.

Statistical science --- Operational research. Game theory --- Probability theory --- Mathematics --- Computer. Automation --- waarschijnlijkheidstheorie --- stochastische analyse --- computers --- informatica --- statistiek --- wiskunde --- kansrekening --- statistisch onderzoek