Measurement of database systems: an empirical study
MacDonell, Stephen; Shepperd, Martin; Sallis, Philip

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MacDonell, S., Shepperd, M., & Sallis, P. (1996). Measurement of database systems: an empirical study (Information Science Discussion Papers Series No. 96/15). University of Otago. Retrieved from http://hdl.handle.net/10523/1092
Permanent link to OUR Archive version:
http://hdl.handle.net/10523/1092
Abstract:
There is comparatively little work, other than function points, that tackles the problem of building prediction systems for software that is dominated by data considerations, in particular systems developed using 4GLs. We describe an empirical investigation of 70 such systems. Various easily obtainable counts were extracted from data models (e.g. number of entities) and from specifications (e.g. number of screens). Using simple regression analysis, prediction systems of implementation size with accuracy of MMRE=21% were constructed. Our work shows that it is possible to develop simple and effective prediction systems based upon metrics easily derived from functional specifications and data models.
Date:
1996-08
Publisher:
University of Otago
Pages:
10
Series number:
96/15
Keywords:
metrics; entity-relationship models; 4GL; empirical; prediction
Research Type:
Discussion Paper
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- Information Science [488]
- Software Metrics Research Laboratory [22]
- Discussion Paper [441]