NDLI: Object oriented metrics useful in the prediction of class testing complexity

Content Provider	IEEE Xplore Digital Library
Author	Bluemke, I.
Copyright Year	2001
Description	Author affiliation: Dept. of Comput. Sci., Warsaw Univ. of Technol., Poland (Bluemke, I.)
Abstract	Adequate metrics of object-oriented software enable one to determine the complexity of a system and estimate the effort needed for testing already in the early stage of system development. The metrics values enable to locate parts of the design that could be error prone. Changes in these parts could significantly, improve the quality of the final product and decrease testing complexity. Unfortunately only few of the existing Computer Aided Software Engineering tools (CASE) calculate object metrics. In this paper methods allowing proper calculation of class metrics for some commercial CASE tool have been developed. New metric, calculable on the basis of information kept in CASE repository and useful in the estimation of testing effort have also been proposed. The evaluation of all discussed metrics does not depend on object design method and on the implementation language.
Sponsorship	Euromicro
Starting Page	130
Ending Page	136
File Size	539311
Page Count	7
File Format	PDF
ISBN	0769512364
ISSN	10896503
DOI	10.1109/EURMIC.2001.952447
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-09-04
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer aided software engineering Design methodology Programming Software measurement Costs Software quality Computer science System testing Computer errors Lab-on-a-chip
Content Type	Text
Resource Type	Article

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