Developing a Data Mining Application using Software Bug Logs

Yıl 2015, Cilt: 27 Sayı: 1, 14 - 20, 28.04.2016

Turgay Bilgin , Gökhan Acun

https://doi.org/10.7240/mufbed.83214

Cited By: 1

Öz

Data mining is the process of posing queries and extracting patterns, often previously unknown from large quantities of data using pattern matching or other reasoning techniques. In this study, a software has been developed in order to perform some data preprocessing steps on the daily bug logs of an Enterprise Resource Planning software. The software also applies association rule mining algorithm on the collected data. It sends discovered associations by email to the corporate managers. Moreover, the frequent patterns which causes bug, has been detected and visualized

Anahtar Kelimeler

Data Mining, Log Mining, Bug Mining

Yazılım Hata Logları Kullanılarak Veri Madenciliği Uygulaması Gerçekleştirilmesi

Öz

Veri madenciliği; genellikle makine öğrenmesi tekniklerini kullanarak önceden bilinmeyen verilerden bilgi çıkarma sürecidir. Bu çalışmada bir kurumsal kaynak planlama yazılımına ait günlük hata loglarını toplayarak birtakım önişleme işlemleri gerçekleştirip, elde edilen veri üzerinde birliktelik analizi algoritması çalıştıran bir yazılım geliştirilmiştir. Bu yazılım sayesinde, bir hatanın oluşmasına yol açan olaylar arasındaki ilişkiler birliktelik analizi algoritması ile tespit edilerek, sonuçları yönetim kademesine e-posta ile raporlayan bir yapı kurulmuştur. Ayrıca hataya sebep olan sık örüntüler tespit edilmiş ve görselleştirilmiştir.

Anahtar Kelimeler

Veri Madenciliği, Log Madenciliği, Hata Madenciliği

Kaynakça

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