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dc.contributorFen Edebiyat Fakültesi / Faculty of Letters and Sciences Matematik - Bilgisayar / Mathematics and Computer Sciencetr_TR
dc.contributor.advisor
dc.contributor.authorÇatal, Çağatay
dc.contributor.authorKarataş, Gözde
dc.contributor.author
dc.contributor.author
dc.date.accessioned2018-09-06T13:47:37Z
dc.date.available2018-09-06T13:47:37Z
dc.date.issued2016-11
dc.identifier.urihttps://hdl.handle.net/11413/2692
dc.description.abstractIn 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.tr_TR
dc.language.isoen_UStr_TR
dc.relation2016 International Conference on Computer Science and Engineeringtr_TR
dc.subjectsoftware architecturetr_TR
dc.subjectarchitecture recoverytr_TR
dc.subjectarchitectural erosiontr_TR
dc.subjectarchitectural drifttr_TR
dc.titleA Systematic Mapping Study on Software Architecture Recoverytr_TR
dc.typeconferenceObjecttr_TR
dc.contributor.authorID108363tr_TR
dc.contributor.authorID110942tr_TR


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