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BugzillaMetrics - Design of an adaptable tool for evaluating user-defined metric specifications on change requests

Lars Grammel, Holger Schackmann, Horst Lichter. BugzillaMetrics - Design of an adaptable tool for evaluating user-defined metric specifications on change requests. In MetriKon 2007: DASMA Software Metrik Kongress. November 2007.

References

  • Development of a Tool for the Evaluation of Change RequestsLars Grammel. Master's Thesis, RWTH Aachen University, February 2007.
  • D. H. Rombach, L. C. Briand, and C. M. Differding. Practical guidelines for meas- urement-based process improvement. Software Process: Improvement and Practice, 2(4), 1997.
  • G. Canfora and L. Cerulo. Impact analysis by mining software and change request repositories. In 11th IEEE International Symposium on Software Metrics (METRICS 2005), page 29. IEEE Computer Society, 2005.
  • P. C. Clements and L. Northrop. Software Product Lines: Practices and Patterns. Ad- dison Wesley. 2001.
  • M. Fischer and H. Gall. Visualizing feature evolution of large-scale software based on problem and modification report data. Journal of Software Maintenance, 16(6):385–403, 2004.
  • Polarion for Subversion 2.6. http://www.polarion.com.
  • Kisters AG. http://www.kisters.de.
  • Code Beamer 4.2.1. http://www.intland.com.
  • M. D’Ambros, M. Lanza, and M. Pinzger. "A Bug’s Life" - Visualizing a Bug Data- base. In Proceedings of VISSOFT 2007 (4th IEEE International Workshop on Visual- izing Software For Understanding and Analysis), pages 113–120. IEEE CS Press, Ju- ne 2007.
  • M. Ohira, R. Yokomori, M. Sakai, K. Matsumoto, K. Inoue, and K. Torii. Empirical project monitor: A tool for mining multiple project data. In Mining Software Reposi- tories Workshop, 26th International Conference on Software Engineering (Edin- burgh, Scotland), 2004.
  • T. DeMarco. Why Does Software Cost So Much? Dorset House Publishing, New York, 1995.
  • V. Basili, G. Caldiera, and H. Rombach. The goal question metric approach. Encyclo- pedia of Software Engineering, pages 528–532, 1994.
  • G. Robles, J. Gonzalez-Barahona, and R. Ghosh. Gluetheos: Automating the retrieval and analysis of data from publicly available software repositories. In Mining Soft- ware Repositories Workshop, 26th International Conference on Software Engineering (Edinburgh, Scotland), 2004.
  • N. E. Fenton and S. L. Pfleeger. Software Metrics. PWS Publishing Company, Bos- ton, MA, 1996.
  • D. Cubranic, G. C. Murphy, J. Singer, and K. S. Booth. Hipikat: A project memory for software development. IEEE Trans. Software Eng., 31(6):446–465, 2005.
  • G. Canfora and L. Cerulo. Supporting change request assignment in open source de- velopment. In SAC ’06: Proceedings of the 2006 ACM symposium on Applied com- puting, pages 1767–1772, New York, NY, USA, 2006. ACM Press.
  • S. H. Kan. Metrics and Models in Software Quality Engineering. Addison-Wesley, Reading, MA, 1995.
  • Bugzilla 2.18.6. http://www.bugzilla.org.
  • BugzillaMetrics. http://www.bugzillametrics.org.
  • JIRA 3.7. http://www.atlassian.com/software/jira/.

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