Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Software errors and complexity: an empirical investigation0

Software errors and complexity: an empirical investigation0 An analysis of the distributions and relationships derived from the change data collected during development of a medium-scale software project produces some surprising insights into the factors influencing software development. Among these are the tradeoffs between modifying an existing module as opposed to creating a new one, and the relationship between module size and error proneness. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Communications of the ACM Association for Computing Machinery

Software errors and complexity: an empirical investigation0

Communications of the ACM , Volume 27 (1): 11 – Jan 1, 1984

Loading next page...
 
/lp/association-for-computing-machinery/software-errors-and-complexity-an-empirical-investigation0-MYwTpQr506

References (17)

Publisher
Association for Computing Machinery
Copyright
Copyright © 1984 ACM
ISSN
0001-0782
eISSN
1557-7317
DOI
10.1145/69605.2085
Publisher site
See Article on Publisher Site

Abstract

An analysis of the distributions and relationships derived from the change data collected during development of a medium-scale software project produces some surprising insights into the factors influencing software development. Among these are the tradeoffs between modifying an existing module as opposed to creating a new one, and the relationship between module size and error proneness.

Journal

Communications of the ACMAssociation for Computing Machinery

Published: Jan 1, 1984

There are no references for this article.