This book establishes a framework for dealing with uncertainties in software engineering, and for using quantitative measures for decision making in this context. It brings in perspective the large body of work having statistical content that is relevantto software engineering. The audience is computer scientists, software engineers, and reliability analysts, who have some exposure to probability and statistics. The content is pitched at a level that is appropriate for research workers in software reliability, and for graduate level courses in applied statistics computer science, operations research, and software engineering. Это и многое другое вы найдете в книге Statistical Methods in Software Engineering: Reliability and Risk (Springer Series in Statistics) (Nozer D. Singpurwalla, Simon Wilson, Simon P. Wilson)