Software Log Classification in Telecommunication Industry

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dc.contributor.authorÜlkü, Onur
dc.contributor.authorGözüacik, Necip
dc.contributor.authorTanberk, Senem
dc.contributor.authorAydm, Muhammed Ali
dc.contributor.authorZaim, Abdul Halim
dc.date.accessioned2023-01-18T09:22:35Z
dc.date.available2023-01-18T09:22:35Z
dc.date.issued2022en_US
dc.departmentFakülteler, Mühendislik ve Tasarım Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractSoftware system admins depend on log data for understanding system beliavior, monitoring anomalies, tracking software bugs, and malfunctioning detection. Log analysis based on machine learning techniques enables to transform of raw logs into meaningful information that helps the DevOps team and administrators to solve problems. AI ensures to group similar logs together and keeps periodic logs more organized and sorted, allowing us to get to where we need to look faster. In this paper, we present a log classification system on log data generated by VoIP (Voice over Internet Protocol) soft-switch product. In this way, we targeted to detect the problem, direct it to the relevant department, allocate resources, and solve software bugs faster and more efficiently. Machine learning algorithms such as Linear Classifiers, Support Vector Machines, Decision Tree, Random Forest, Boosting, K-Nearest Neighbors, and Multilayer Perceptron are used for log classification.en_US
dc.identifier.doi10.1109/UBMK52708.2021.9558985en_US
dc.identifier.scopus2-s2.0-85125850639en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11467/6042
dc.identifier.urihttps://doi.org/10.1109/UBMK52708.2021.9558985
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofProceedings - 6th International Conference on Computer Science and Engineering, UBMK 2021en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectlog analytics, TF-IDF, bag of words, logistic regression.en_US
dc.titleSoftware Log Classification in Telecommunication Industryen_US
dc.typeConference Objecten_US

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