Published 1993
by McGraw-Hill in London .
Written in English
Edition Notes
| Statement | edited by Martin Shepperd. Vol.1, Measures and validations. |
| Series | The McGraw-Hill international series in software engineering |
| Contributions | Shepperd, Martin. |
| The Physical Object | |
|---|---|
| Pagination | xi,302p. ; |
| Number of Pages | 302 |
| ID Numbers | |
| Open Library | OL20956891M |
| ISBN 10 | 0077074106 |
Software Engineering Metrics and Models (Benjamin/Cummings series in software engineering): Computer Science Books @ Skip to main content Try Prime. The authors also show results from some of their own experiments to verify various metrics. The book is easy to read; the mathematics are nicely worked in without the need to refer to other publications. Software engineering involves a search for producing programs with the best achievable quality and productivity. As with many software engineering classes, term projects help in forcing students to apply these concepts to the programs in the project. The book has perhaps the best collection of references on software metrics and models available at the time of publication. Its primary purpose is more as a reference or secondary text. Software engineering metrics. [Martin Shepperd;] Drawing on American and European research on software engineering, Software engineering metrics. London ; New York: McGraw-Hill Book Co., ©(OCoLC) Online version: Software engineering metrics.
Additional Physical Format: Online version: Conte, Samuel Daniel, Software engineering metrics and models. Menlo Park, Calif.: Benjamin/Cummings Pub. Co., © --Capers Jones, from the Foreword"Metrics and Models in Software Quality Engineering, Second Edition," is the definitive book on this essential topic of /5(8). Software metrics are proposed to help show indications for quality, size, complexity, etc. of software products. In this paper, software metrics related to . Software Engineering ; textbook by Ivan Marsic & Software Engineering book [PDF document; size: MBytes] Last updated: Septem Pages: Table of Contents Note: Problem solutions are included on the back of the book, starting from page @ Instructor materials • Lecture slides @ Team projects.
Software Metrics. Software Engineering. Definitions. • Measure - quantitative indication of extent, amount, dimension, capacity, or size of some attribute of a product or process. – Number of errors. • Metric - quantitative measure of degree to which a system, component or process possesses a given Size: 70KB. Kanban is a simple and elegant Agile framework that helps to control and improve development processes. Kanban in 30 Days explores the key features of Kanban, and demonstrates how to put it into practice through exercises that will help you make the most of this unique approach to managing collaboration and g: metrics. Management Metrics Techniques for software cost estimation 1. Algorithmic cost modeling: Model developed using historical cost information that relates some software metric (usually lines of code) to project cost. Estimate made of metric and then model predicts effort required. The most scientific approach but not necessarily the most accurate. Size: KB. 9 metrics that can make a difference to today’s software development teams Steven A. Lowe, Product Technology Manager, Google As I noted in the article " Why metrics don’t matter in software development (unless you pair them with business goals)," choosing metrics requires considerable thought and care to support the specific questions a.
