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Resolving linkage anomalies in extracted software system models

Authors: null Jingwei Wu; R.C. Holt;

Resolving linkage anomalies in extracted software system models

Abstract

Program model linking has been largely overlooked and not constrained properly in the extraction of software system models. This often results in inaccurate system models at different levels of abstraction even if programs can be extracted correctly. This paper describes two constrained approaches toward accurate linkage resolution. The first approach is purely based on a set of linking heuristics. The second approach leverages the software build process and also utilizes linking heuristics. We compare these two approaches and discuss their benefits and limitations. The empirical results from a case study of the PostgreSQL database system are also presented. Our study shows that inappropriate linkage resolution leads to a relatively large number of dependency anomalies at higher levels of abstraction. These anomalies can be effectively removed using our proposed approaches.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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