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Software Metrics
A Framework for Managing, Measuring, and Predicting Attributes of Software Development Products and ProcessesReflecting the immense progress in the development and use of software metrics in the past decades, Software Metrics: A Rigorous and Practical Approach, Third Edition provides an up-to-date, accessible, and comprehensive introduction to soft
Software Metrics
Software Metrics, 2/e is ideal for undergraduate and graduates studying a course in software metrics or software quality assurance. It also provides an excellent resource for practitioners in industry.
Risk Assessment and Decision Analysis with Bayesian Networks, Second Edition
Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields. This second edition includes new material on influence diagrams, learning from data, value of information, cybersecurity, debunking bad statistics, and much more. Focusing on practical real-world problem-solving and model building, as opposed to algorithms and theory, it explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide more powerful insights and better decision making than is possible from purely data-driven solutions. Features Provides all tools necessary to build and run realistic Bayesi...
Quality Software Project Management
Annotation Drawing on best practices identified at the Software Quality Institute and embodied in bodies of knowledge from the Project Management Institute, the American Society of Quality, IEEE, and the Software Engineering Institute, Quality Software Project Management teaches 34 critical skills that allow any manager to minimize costs, risks, and time-to-market. Written by leading practitioners Robert T. Futrell, Donald F. Shafer, and Linda I. Shafer, it addresses the entire project lifecycle, covering process, project, and people. It contains extensive practical resources-including downloadable checklists, templates, and forms.
Model Driven Engineering Languages and Systems
This book constitutes the refereed proceedings of the 9th International Conference on Model Driven Engineering Languages and Systems (formerly UML conferences), MoDELS 2006. The book presents 51 revised full papers and 2 invited papers. Discussion is organized in topical sections on evaluating UML, MDA in software development, concrete syntax, applying UML to interaction and coordination, aspects, model integration, formal semantics of UML, security, model transformation tools and implementation, and more.
COVID-19
This comprehensive book looks at COVID-19, along with other recent infectious disease outbreaks, with the broad aim of providing constructive lessons and critical reflections from across a wide range of perspectives and disciplinary interests within the risk analysis field. The chapters in this edited volume probe the roles of risk communication, risk perception, and risk science in helping to manage the ever-growing pandemic that was declared a public health emergency of international concern in the beginning of 2020. A few chapters in the book also include relevant content discussing past disease outbreaks, such as Zika, Ebola and MERS-CoV. This book distils past and present knowledge, appraises current responses, introduces new ideas and data, and offers key recommendations, which will help illuminate different aspects of the global health crisis. It also explores how different constructive insights offered from a ‘risk perspective’ might inform decisions on how best to proceed in response as the pandemic continues. The chapters in this book were originally published as a special issue of the Journal of Risk Research.
Reliable Software Technologies - Ada Europe 96
Content Description #Includes bibliographical references and index.
Software Metrics
The modern field of software metrics emerged from the computer modeling and "statistical thinking" services of the 1980s. As the field evolved, metrics programs were integrated with project management, and metrics grew to be a major tool in the managerial decision-making process of software companies. Now practitioners in the software industry have
Programming Environments for Massively Parallel Distributed Systems
Massively Parallel Systems (MPSs) with their scalable computation and storage space promises are becoming increasingly important for high-performance computing. The growing acceptance of MPSs in academia is clearly apparent. However, in industrial companies, their usage remains low. The programming of MPSs is still the big obstacle, and solving this software problem is sometimes referred to as one of the most challenging tasks of the 1990's. The 1994 working conference on "Programming Environments for Massively Parallel Systems" was the latest event of the working group WG 10.3 of the International Federation for Information Processing (IFIP) in this field. It succeeded the 1992 conference in Edinburgh on "Programming Environments for Parallel Computing". The research and development work discussed at the conference addresses the entire spectrum of software problems including virtual machines which are less cumbersome to program; more convenient programming models; advanced programming languages, and especially more sophisticated programming tools; but also algorithms and applications.
