CRAFT A Framework for Evaluating Software Clustering Results in the Absence of Benchmark De.pdf
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CRAFT A Framework for Evaluating Software Clustering Results in the Absence of Benchmark De
CRAFT: A Framework for Evaluating Software Clustering
Results in the Absence of Benchmark Decompositions
Brian S. Mitchell and Spiros Mancoridis
Department of Mathematics Computer Science
Drexel University, Philadelphia, PA, USA
{bmitchel, smancori}@
Abstract
Software clustering algorithms are used to create
high-level views of a system’s structure using source
code-level artifacts. Software clustering is an active
area of research that has produced many clustering al-
gorithms. However, we have seen very little work that
investigates how the results of these algorithms can be
evaluated objectively in the absence of a benchmark de-
composition, or without the active participation of the
original designers of the system.
Ideally, for a given system, an agreed upon refer-
ence (benchmark) decomposition of the system’s struc-
ture would exist, allowing the results of various clus-
tering algorithms to be compared against it. Since such
benchmarks seldom exist, we seek alternative methods
to gain confidence in the quality of results produced by
software clustering algorithms.
In this paper we present a tool that supports the eval-
uation of software clustering results in the absence of
a benchmark decomposition.
1. Introduction Background
Maintaining large and complex software systems is
a daunting task. Poor software maintenance practices
often lead to a system’s premature retirement, or ne-
cessitates significant restructuring in order to keep the
source code in manageable condition. There are many
causes for these poor maintenance practices. Little can
be done about practical issues such as limited main-
tenance budgets, lack of access to the original devel-
opers and designers of the system, and short devel-
opment schedules. However, if software maintainers
have a thorough understanding of the underlying sys-
tem structure, it is more likely that changes to the
source code can be performed without deviating from
the system design and architecture. Additionally, i
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