Evaluation of query languages with software science metrics

Author

Chan, H.C. ; Lim, Lynne

Author_Institution

Dept. of Inf. Syst. & Comput. Sci., Nat. Univ. of Singapore

fYear

1994

fDate

22-26 Aug 1994

Firstpage

516

Abstract

Current methods of evaluating users´ difficulties with query languages through empirical studies are very tedious. The empirical results have very little validity beyond the few queries tested in the studies. To allow a quicker and more wide-ranging evaluation, we apply software science metrics (SSM) to query languages. The results from the metrics´ analyses are compared with results from experimental studies. Statistical analyses produce very good models to predict query accuracy. The results indicate that SSM is a good alternative for the evaluation of query languages. The results can be used in the evaluation and design of query languages

Keywords

database theory; human factors; query languages; software metrics; statistical analysis; empirical studies; query accuracy prediction; query language design; query language evaluation; software science metrics; statistical analyses; user difficulties; Accuracy; Computer science; Database languages; Equations; Humans; Information systems; Predictive models; Software metrics; Statistical analysis; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '94. IEEE Region 10's Ninth Annual International Conference. Theme: Frontiers of Computer Technology. Proceedings of 1994

Print_ISBN

0-7803-1862-5

Type

conf

DOI

10.1109/TENCON.1994.369247

Filename

369247