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BugzillaMetrics: an adaptable tool for evaluating metric specifications on change requests

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Foundations of Software Engineering archive
Ninth international workshop on Principles of software evolution: in conjunction with the 6th ESEC/FSE joint meeting table of contents

Dubrovnik, Croatia

SESSION: Metrics and models table of contents

Pages: 35 - 38

Year of Publication: 2007

ISBN:978-1-59593-722-3

Authors

Lars Grammel	RWTH Aachen University, Aachen, Germany
Holger Schackmann	RWTH Aachen University, Aachen, Germany
Horst Lichter	RWTH Aachen University, Aachen, Germany

Sponsors

SIGSOFT: ACM Special Interest Group on Software Engineering
CEPIS : The Council of European Professional Informatics Societies
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 3, Downloads (12 Months): 45, Citation Count: 1

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abstract references cited by index terms collaborative colleagues

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DOI Bookmark:	10.1145/1294904.1294909

ABSTRACT

To manage the evolution of software processes and products, it is essential to evaluate their current state and how it evolved. This information can be obtained by analyzing the data available in change request management (CRM) systems like Bugzilla.

Metrics and charts on change requests are already available in current CRM systems. They provide information about common metrics, but their adaptability is limited. This paper describes a more flexible approach for the evaluation of metrics on change requests.

The main characteristics of the tool presented in this paper are the separation between metric specification and data retrieval, an event driven algorithm that calculates time series data, and an abstraction of its data sources.

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.

	1	Bugzilla 2.18.6. http://www.bugzilla.org.
	2	BugzillaMetrics. http://bugzillametrics.sf.net.
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	10	L. Grammel. Development of a tool for the evaluation of change requests. Diploma thesis, RWTH Aachen University, 2007.
	11	Stephen H. Kan , Brian Thomas, Metrics and Models in Software Quality Engineering, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1994
	12	D. H. Rombach, L. C. Briand, and C. M. Differding. Practical guidelines for measurement-based process improvement. Software Process: Improvement and Practice, 2(4), 1997.