By Topic

Empirical investigation of a novel approach to check the integrity of software engineering measuring processes

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Skylar Lei ; Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada ; M. Smith ; G. Succi

We present an empirical investigation of the applicability of Benford's Law (1958) and Digital Statistics (Nigrine, 1995) in the context of software engineering metrics analysis and process validation. We have conducted an investigation to determine under what circumstances various software metrics follow Benford's Law, and whether any special characteristics, or irregularities, in the data can be uncovered if the data are found not to follow the law. Lists were formed from three software metrics extracted from 100 public domain industrial Java projects. These metrics were Lines of Code (LOC), Fan-Out (FO) and McCabe Cyclomatic Complexity (MCC). The results indicate that the first digits of numbers in lists of LOC metrics extracted from the projects closely followed the probabilities predicted by Benford's Law. The FO and MCC metrics did not follow the standard Benford's Law as closely as the LOC metrics

Published in:

Software Engineering, 2000. Proceedings of the 2000 International Conference on

Date of Conference:

2000