NDLI: Dynamic coupling measures for object-oriented software

Content Provider	IEEE Xplore Digital Library
Author	Arisholm, E.
Copyright Year	2002
Description	Author affiliation: Simula Res. Lab., Lysaker, Norway (Arisholm, E.)
Abstract	The relationships between coupling and external quality factors of object-oriented software have been studied extensively for the past few years. For example, several studies have identified clear empirical relationships between class-level coupling and the fault-proneness of the classes. A common way to quantify the coupling is through static code analysis. However, the resulting static coupling measures only capture certain underlying dimensions of coupling. Other dependencies regarding the dynamic behavior of software can only be inferred from run-time information. For example, due to inheritance and polymorphism, it is not always possible to determine the actual receiver and sender classes (i.e., the objects) from static code analysis. This paper describes how several dimensions of dynamic coupling can be calculated by tracing the flow of messages between objects at run-time. As a first evaluation of the proposed dynamic coupling measures, fairly accurate prediction models of the change proneness of classes have been developed using change data from nine maintenance releases of a large SmallTalk system. Preliminary results suggest that dynamic coupling may also be useful for developing prediction models and tools supporting change impact analysis. At present, work on developing a dynamic coupling tracer and ripple-effect prediction models for Java programs is underway.
Sponsorship	ALCATEL Carleton Univ. Cistel MetricCentre Nat. Res. Council Canada Conseil national de recherches Canada
Starting Page	33
Ending Page	42
File Size	458352
Page Count	10
File Format	PDF
ISBN	0769513395
ISSN	15301435
DOI	10.1109/METRIC.2002.1011323
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-06-04
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software measurement Runtime Object oriented modeling Predictive models Software systems Software quality Software engineering Particle measurements Laboratories Q factor
Content Type	Text
Resource Type	Article

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