ACM Home Page
Please provide us with feedback. Feedback
Software measure specification
Full text PdfPdf (566 KB)
Source Foundations of Software Engineering archive
Proceedings of the 1st ACM SIGSOFT symposium on Foundations of software engineering table of contents
Los Angeles, California, United States
Pages: 163 - 168  
Year of Publication: 1993
ISBN:0-89791-625-5
Also published in ...
Authors
Sponsor
SIGSOFT: ACM Special Interest Group on Software Engineering
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 4,   Downloads (12 Months): 39,   Citation Count: 3
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/256428.167075
What is a DOI?

ABSTRACT

This paper introduces the model-order-mapping (MOM) approach for specifying software/document measures. A MOM specification requires that the important attributes of the document be identified, a model that captures the attributes be chosen, and a mapping from the document to the model be specified. A partial ordering on the model must be developed as well as an order-preserving mapping from the model to an answer set. The relationship of the approach to measurement theory is shown. Validation of the MOM specification is presented.Properties of software measures that are guaranteed by a validated MOM specification and those that can be proved from a validated specification are described.


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
 
2
A. Baker, J. Bieman, D. Gustafson, and A. Melton. Modeling and measuring the software development process. Proc. 20th Hawaii International Conference on Systems Scienceg (HICSS-20), 11:23-30, January 1987.
 
3
V. Basili and R. Reiter EvsJuating Automatable Measures of Softwrae Development Workshop on Quantitative Software Models IEEE Computer Society Press 1979 PP107-116.
 
4
 
5
 
6
 
7
N. Fenton and R Whitty Axiomatic approach to Software Metrication through Program Decomposition Computer Journal 29:4, pp330-339, 1986.
 
8
Finkelstein L, 'Representation by symbol systems as an extension of the concept of measurement', Kybernetes, Vol 4215-223, 1975
 
9
 
10
 
11
 
12
 
13
S. Jayaprakash, K. B. Lakshmanan, and P. K. Sinha MEBOW: A Comprehensive Measure of Control Flow Complexity Proc CompSac 1987, pp238-244.
14
 
15
Krantz DH, Lute RD, Suppes P, Tversky A, 'Foundations of Measurement' Vol 1, Academic Press, 1971.
 
16
Kyburg HE, 'Theory and Measurement', Cambridge University Press, 1984.
 
17
T. McCabe. A Complexity Measure. IEEE Transaction on Software Engineering, SE-2(4):308-322 (Dec76).
 
18
 
19
J. Pfanzagal Theory of Measurement Physica- Verlag c1971.
 
20
R. E. Prather. An axiomatic theory of software complexity measure Computer .lournal, 27(4):340- 346, 1984.
 
21
Roberts FS, 'Measurement Theory with applications to decision making, utility, and the social sciences', Addison Wesley, Reading, c1979
 
22
S. S. Stevens On the Theory of Scales of Measurement Science 103:677-680 (1946)
 
23
Suppes P, Zinnes JL. Basic Measurement Theory Handbook of Mathematical Psychology Wiley, New York, c1963.
 
24
 
25
W. S. Torgerson Theory and Methods of Scaling Wiley, New York c1971
 
26
 
27


Collaborative Colleagues:
David A. Gustafson: colleagues
Joo T. Tan: colleagues
Perla Weaver: colleagues