Software Metrics: A Rigorous and Practical Approach

ISBN-13: 9781439838228 / Angielski / Twarda / 2014 / 618 str.

Norman Fenton; James Bieman

Opis

A Framework for Managing, Measuring, and Predicting Attributes of Software Development Products and Processes
Reflecting 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 software metrics. Like its popular predecessors, this third edition discusses important issues, explains essential concepts, and offers new approaches for tackling long-standing problems. New to the Third Edition
This edition contains new material relevant to object-oriented design, design patterns, model-driven development, and agile development processes. It includes a new chapter on causal models and Bayesian networks and their application to software engineering. This edition also incorporates recent references to the latest software metrics activities, including research results, industrial case studies, and standards. Suitable for a Range of Readers
With numerous examples and exercises, this book continues to serve a wide audience. It can be used as a textbook for a software metrics and quality assurance course or as a useful supplement in any software engineering course. Practitioners will appreciate the important results that have previously only appeared in research-oriented publications. Researchers will welcome the material on new results as well as the extensive bibliography of measurement-related information. The book also gives software managers and developers practical guidelines for selecting metrics and planning their use in a measurement program.

Spis treści

Fundamentals of Measurement and Experimentation: Measurement: What Is It and Why Do It? The Basics of Measurement. A Goal-Based Framework for Software Measurement. Empirical Investigation. Software Metrics Data Collection. Analyzing Software Measurement Data. Metrics for Decision Support: The Need for Causal Models. Software Engineering Measurement: Measuring Internal Product Attributes: Size. Measuring Internal Product Attributes: Structure. Measuring External Product Attributes. Software Reliability: Measurement and Prediction. Appendix. Bibliography. Index.