Using version control data to evaluate the impact of software tools

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Using version control data to evaluate the impact of software tools

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International Conference on Software Engineering archive
Proceedings of the 21st international conference on Software engineering table of contents

Los Angeles, California, United States

Pages: 324 - 333

Year of Publication: 1999

ISBN:1-58113-074-0

Authors

David Atkins	Software Production Research Dept., Bell Laboratories, Lucent Technologies
Thomas Ball	Software Production Research Dept., Bell Laboratories, Lucent Technologies
Todd Graves	Software Production Research Dept., National Institute of Statistical Sciences, Bell Laboratories, Lucent Technologies
Audris Mockus	Software Production Research Dept., Bell Laboratories, Lucent Technologies

Sponsors

IEEE-CS : Computer Society
IEEE-CS\TCSE : TC on Software Engineering
SIGADA: ACM Special Interest Group on Ada Programming Language
SIGSOFT: ACM Special Interest Group on Software Engineering
SIGPLAN: ACM Special Interest Group on Programming Languages

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 11, Downloads (12 Months): 45, Citation Count: 5

Additional Information:

references cited by index terms collaborative colleagues

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY 5

	David L. Atkins , Thomas Ball , Todd L. Graves , Audris Mockus, Using version control data to evaluate the impact of software tools: a case study of the version editor, IEEE Transactions on Software Engineering, v.28 n.7, p.625-637, July 2002
	Lorin Hochstein , Victor R. Basili , Marvin V. Zelkowitz , Jeffrey K. Hollingsworth , Jeff Carver, Combining self-reported and automatic data to improve programming effort measurement, ACM SIGSOFT Software Engineering Notes, v.30 n.5, September 2005
	Michael D. Ernst , Greg J. Badros , David Notkin, An Empirical Analysis of C Preprocessor Use, IEEE Transactions on Software Engineering, v.28 n.12, p.1146-1170, December 2002
	Ahmed E. Hassan , Richard C. Holt, Replaying development history to assess the effectiveness of change propagation tools, Empirical Software Engineering, v.11 n.3, p.335-367, September 2006
	Stefan Koch, Software evolution in open source projects—a large-scale investigation, Journal of Software Maintenance and Evolution: Research and Practice, v.19 n.6, p.361-382, November 2007