num_pages: 311
description: In establishing a framework for dealing with uncertainties in software engineering, and for using quantitative measures in related decision-making, this text puts into perspective the large body of work having statistical content that is relevant to software engineering. Aimed at computer scientists, software engineers, and reliability analysts who have some exposure to probability and statistics, the content is pitched at a level appropriate for research workers in software reliability, and for graduate level courses in applied statistics computer science, operations research, and software engineering.
language: English
title: Statistical Methods in Software Engineering: Reliability and Risk
titlecomplete: Statistical Methods in Software Engineering: Reliability and Risk (Springer Series in Statistics)
ratings_count: 1
series: Springer Series in Statistics
publisher: Springer