Abstract
Software architecture documents are valuable assets supporting the maintenance process for software systems. Unfortunately, in many projects, software architecture documentation is not conducted properly or the documents become obsolete due to a discrepancy with the current architecture. To address this, various automated methods to recover software architecture have been proposed in the literature. We argue that most previous studies have not considered cluster ensembles but relied on a single clustering algorithm. In this paper, we propose to take advantage of cluster ensembles for software architecture recovery. Our experiments on five open-source projects are reported and the results are analyzed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
