Show simple item record

dc.contributor.authorUfuktepe, Ekincan
dc.contributor.authorTuğlular, Tuğkan
dc.date.accessioned2019-02-19T13:33:20Z
dc.date.available2019-02-19T13:33:20Z
dc.date.issued2018
dc.identifier.citationUfuktepe, E., and Tuğlular, T. (2018, July 16-20). A program slicing-based Bayesian network model for change impact analysis. Paper presented at the 18th IEEE International Conference on Software Quality, Reliability, and Security, QRS 2018. doi:10.1109/QRS.2018.00062en_US
dc.identifier.isbn9781538677575
dc.identifier.urihttp://doi.org/10.1109/QRS.2018.00062
dc.identifier.urihttp://hdl.handle.net/11147/7118
dc.description18th IEEE International Conference on Software Quality, Reliability, and Security, QRS 2018; Lisbon; Portugal; 16 July 2018 through 20 July 2018en_US
dc.description.abstractChange impact analysis plays an important role in identifying potential affected areas that are caused by changes that are made in a software. Most of the existing change impact analysis techniques are based on architectural design and change history. However, source code-based change impact analysis studies are very few and they have shown higher precision in their results. In this study, a static method-granularity level change impact analysis, that uses program slicing and Bayesian Network technique has been proposed. The technique proposes a directed graph model that also represents the call dependencies between methods. In this study, an open source Java project with 8999 to 9445 lines of code and from 505 to 528 methods have been analyzed through 32 commits it went. Recall and f-measure metrics have been used for evaluation of the precision of the proposed method, where each software commit has been analyzed separately.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionof10.1109/QRS.2018.00062en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBayesian networken_US
dc.subjectChange impact analysisen_US
dc.subjectProgram analysisen_US
dc.subjectOpen source softwareen_US
dc.titleA program slicing-based Bayesian network model for change impact analysisen_US
dc.typeconferenceObjecten_US
dc.contributor.authorIDTR114656en_US
dc.contributor.iztechauthorUfuktepe, Ekincan
dc.contributor.iztechauthorTuğlular, Tuğkan
dc.relation.journal18th IEEE International Conference on Software Quality, Reliability, and Security, QRS 2018en_US
dc.contributor.departmentIzmir Institute of Technology. Computer Engineeringen_US
dc.identifier.startpage490en_US
dc.identifier.endpage499en_US
dc.identifier.scopusSCOPUS:2-s2.0-85052313928
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record