The mathematical validity of software metrics

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The mathematical validity of software metrics

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ACM SIGSOFT Software Engineering Notes archive
Volume 21 , Issue 5 (September 1996) table of contents

Pages: 89 - 94

Year of Publication: 1996

ISSN:0163-5948

Author

B. Henderson-Sellers

Univ. of Technology Sydney,NSW,Australia

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 8, Downloads (12 Months): 49, Citation Count: 5

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ABSTRACT

Mathematical modelling, especially in software engineering metrics, requires more emphasis to be placed on the validity of the selected mathematical tools and techniques to be used. There are a plethora of occurrences in the recent literature of the misapplication of quantitative techniques together with errors in the underlying mathematics. Software engineering metrics needs to take more care in its use of mathematics if it is to gain credence in the scientific and engineering communities.

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

	Clark B. Archer , Michael C. Stinson, Object-oriented software product metrics (tutorial), Proceedings of the 1998 ACM SIGCPR conference on Computer personnel research, p.305-306, March 26-28, 1998, Boston, Massachusetts, United States
	Sandeep Purao , Vijay Vaishnavi, Product metrics for object-oriented systems, ACM Computing Surveys (CSUR), v.35 n.2, p.191-221, June 2003
	Rajendra K. Bandi , Vijay K. Vaishnavi , Daniel E. Turk, Predicting Maintenance Performance Using Object-Oriented Design Complexity Metrics, IEEE Transactions on Software Engineering, v.29 n.1, p.77-87, January 2003
	D. Janaki Ram , K. N. Anantharaman , K. N. Guruprasad , M. Sreekanth , S. V. G. K. Raju , A. Ananda Rao, An approach for pattern oriented software development based on a design handbook, Annals of Software Engineering, v.10 n.1-4, p.329-358, 2000
	Peter Kokol , Janez Brest , Milan Zorman , Vili Podgorelec, Integration of complexity metrics with the use of decision trees, ACM SIGSOFT Software Engineering Notes, v.23 n.1, p.56-58, January 1998