A Systematic Mapping Study on Software Architecture Recovery
Abstract
In this study, we investigated the approaches used
in software architecture recovery papers, identify the
current status of paper distributions in terms of year,
publication channel, electronic databases, and journals. We
executed a mapping study to cluster the software
architecture recovery research papers. Papers published
since 2000 have been used for this study. The following
databases were investigated: Wiley, IEEE, ACM, Science
Direct. Our search accessed 250 papers, but after in-depth
analysis, 60 papers were found to be related to the software
architecture recovery area. Our study shows that there exist
many architecture recovery approaches in the literature,
with machine learning-based techniques dominating the
field. On the basis of this study, we suggest researchers
develop more model centric software architecture recovery
approaches because of model driven development’s
popularity in software engineering field.
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