Compiling static software metrics for reliability and maintainability from GitHub repositories

Authors

• Jeremy Ludwig, Stottler Henke Associates, Inc.
• Steven Xu, Stottler Henke Associates, Inc.
• Frederick C. Webber, Air Force Research Laboratory

Document Type

Conference Proceeding

Publication Date

10-2017

Department

Department of Electrical and Computer Engineering

School or Division

Graduate School of Engineering and Management

Digital Object Identifier

10.1109/SMC.2017.8122569

Source Publication

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Abstract

Excerpt: This paper identifies a small, essential set of static software code metrics linked to the software product quality characteristics of reliability and maintainability and to the most commonly identified sources of technical debt. Abstract © IEEE

Comments

Copyright © 2017, IEEE

Co-author F. Webber was an AFIT PhD student at the time of this article. (AFIT-ENG-DS-17-D-006, December 2017 graduate, DTIC AD1055590)

Recommended Citation

J. Ludwig, S. Xu and F. Webber, "Compiling static software metrics for reliability and maintainability from GitHub repositories," 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, AB, Canada, 2017, pp. 5-9, doi: 10.1109/SMC.2017.8122569.