摘要: Software measurement, like measurement in any other discipline, must adhere to the science of measurement if it is to gain widespread acceptance and validity. The observation of some very simple, but fundamental, principles of measurement can have an extremely beneficial effect on the subject. Measurement theory is used to highlight both weaknesses and strengths of software metrics work, including work on metrics validation. We identify a problem with the well-known Weyuker properties (EJ Weyuker, 1988), but also show that a …
springer.com
computer.org
researchgate.net 
sci-hub.se 参考文章(45)
Maurice H. Halstead, Elements of software science (Operating and programming systems series) ,(1977)
P. H. Sydenham, Handbook of measurement science Wiley. ,(1982)
Z. Jelinski, P. Moranda, SOFTWARE RELIABILITY RESEARCH Statistical Computer Performance Evaluation. pp. 465- 484 ,(1972) , 10.1016/B978-0-12-266950-7.50028-1
Martin Neil, Multivariate Assessment of Software Products. Software Testing, Verification & Reliability. ,vol. 1, pp. 17- 37 ,(1992)
Richard A. DeMillo, Richard J. Lipton, Software Project Forecasting Defense Technical Information Center. ,(1980) , 10.21236/ADA091923
Henry Ely Kyburg, Theory and Measurement ,(1984)
Norman Fenton, Barbara Kitchenham, Validating software measures Software Testing, Verification & Reliability. ,vol. 1, pp. 27- 42 ,(1991) , 10.1002/STVR.4370010204
Fred S. Roberts, Measurement theory with applications to decisionmaking, utility, and the social sciences ,(1979)
Horst Zuse, Support of experimentation by measurement theory Experimental Software Engineering Issues: Critical Assessment and Future Directions. pp. 137- 140 ,(1993) , 10.1007/3-540-57092-6_114
Horst Zuse, Software complexity: Measures and methods ,(1991)