Detection of Seed Methods for Quantification of Feature Confinement

Andrzej Olszak, Eric Bouwers, Bo Nørregaard Jørgensen, Joost Visser

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The way features are implemented in source code has a significant
influence on multiple quality aspects of a software system. Hence,
it is important to regularly evaluate the quality of feature confinement.
Unfortunately, existing approaches to such measurement rely on expert
judgement for tracing links between features and source code which hinders
the ability to perform cost-efficient and consistent evaluations over
time or on a large portfolio of systems.
In this paper, we propose an approach to automating measurement of
feature confinement by detecting the methods which play a central role
in implementations of features, the so-called seed methods, and using
them as starting points for a static slicing algorithm. We show that
this approach achieves the same level of performance compared to the
use of manually identified seed methods. Furthermore we illustrate the
scalability of the approach by tracking the evolution of feature scattering
and tangling in an open-source project over a period of ten years.
TitelTOOL Europe 2012
RedaktørerCarlo A. Furia, Sebastian Nanz
Antal sider17
Vol/bindLNCS 7304
ISBN (Trykt)978-3-642-30560-3
StatusUdgivet - 2012


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