Software Metrics

Software metrics or measurement is the field concerned with the collection and interpretation of empirical data about all aspects of software development, from cost estimation during requirements definition, to code size and complexity measurement during or after coding, and process measurement to keep a tab on project progress. The goal is to understand and improve the development process in order to reduce costs and defects and increase productivity.

Resources

• Software Metrics. A subdivided bibliography by Reiner Dumke

• Software metrics sites

• Software Measurement (DACS)

Literature

• Karl E. Wiegers. A Software Metrics Primer

• Software Measurement Guidebook. NASA Software Engineering Laboratory

• A. Chou, J. Yang, B. Chelf, S. Hallem, and D. Engler. An Empirical Study of Operating Systems Errors In Proceedings of the 18th ACM Symposium on Operating System Principles (SOSP '01), Oct. 2001.

• Lehman MM, Perry DE, Ramil JF, Turski WM and Wernick PD, Metrics and Laws of Software Evolution-The Nineties View, to be publ. in Proc. Metrics 97 Symp., Nov. 5-7th, 1997, Albuquerque, NM

• Park, R. (1992), Software Size Measurement: A Framework for Counting Source Statements, CMU/SEI-92-TR-20, Software Engineering Institute, Pittsburgh, PA.

• Serge Demeyer, Stéphane Ducasse, Oscar Nierstrasz. Finding refactorings via change metrics. In Proceedings of the 15th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications. pages 166 - 177. Minneapolis, Minnesota, United States. ACM 2000.

Conferences

• Metrics 2003 -- 9th International Software Metrics Symposium