Identifying Objects using Cluster and Concept Analysis
ArieVanDeursen and
TobiasKuipers.
In 21st International Conference on Software Engineering,
ICSE-99, 1999,
ACM, pp 246--255.
http://www.cwi.nl/~arie/papers/split.pdf
Abstract
Many approaches to support (semi-automatic) identification
of objects in legacy code take the data structures as starting
point for candidate classes. Unfortunately, legacy data
structures tend to grow over time, and may contain many unrelated
fields at the time of migration. We propose a method
for
ObjectIdentification by semi-automatically restructuring
the legacy data structures. Issues involved include the selection
of record fields of interest, the identification of procedures
actually dealing with such fields, and the construction
of coherent groups of fields and procedures into candidate
classes. We explore the use of
ClusterAnalysis and
ConceptAnalysis
for the purpose of object identification, and we illustrate
their effect on a 100,000 lines of code Cobol system. Furthermore,
we use these results to contrast clustering with concept analysis
techniques.
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