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All Journal Majalah Ilmiah Teknologi Elektro PROSIDING CSGTEIS 2013 JOSINFO : Jurnal Online Sistem Informasi JOSIKOM : Jurnal Online Sistem Komputer JUTIK : Jurnal Teknologi Informasi dan Komputer JOURNAL OF APPLIED INFORMATICS AND COMPUTING Dinamisia: Jurnal Pengabdian Kepada Masyarakat Compiler WIDYABHAKTI Jurnal Ilmiah Populer SENSITEK Jurnal Pengabdian Masyarakat Borneo Seminar Ilmiah Nasional Teknologi, Sains, dan Sosial Humaniora (SINTESA) Seminar Nasional Aplikasi Iptek (SINAPTEK) Jurnal Pengabdian Kepada Masyarakat SEWAGATI Majalah Ilmiah Teknologi Elektro
I Gusti Rai Agung Sugiartha
Institut Teknologi Dan Bisnis STIKOM Bali
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Social Sciences Other

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Software Defects Predictions using SQL Complexity and Naïve Bayes Subali, Made Agus Putra; Sugiartha, I Gusti Rai Agung; Adnyana, I Made Budi; Putra, I Putu Aditya; Subawa, Made Dai
Compiler Vol 14, No 1 (2025): May
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v14i1.2979

Abstract

Software defects result in unreliable software, therefore predicting software defects is an effort to produce quality software. In this study, we used the naïve bayes method because it has the appropriate characteristics of the data used. The data used include NASA MDP datasets and datasets from the calculation of the sql complexity method on eight software modules. The use of two datasets was carried out because in the NASA MDP datasets there were no attributes that paid attention to the use of sql commands, therefore in the datasets from the eight software modules the sql complexity attribute was included which paid attention to the level of complexity of the use of sql commands in each module. The prediction results of this study were evaluated by considering the values of accuracy, precision, recall, and f-measure. Based on these results, the accuracy results of CM1 were 88%, PC2 was 97%, and KC3 was 78%.
Co-Authors A.A. GD DARMA P ARIMBAWA, A.A. GD DARMA Anak Agung Gede Purantara Arya Faisal Akbar Candra Ahmadi, Candra I Gusti Ngurah Darma Paramartha I Kadek Aryastina Suwandika, I Kadek Aryastina I Ketut Dedy Suryawan I Ketut Sedana Artha, I Ketut Sedana I Komang Budiarta I Made Andre Sentanu I Made Budi Adnyana, I Made Budi I Made Darma Susila I Made Oka Widyantara I Nyoman Kusuma Wardana I Putu Adi Armawan, I Putu Adi I Putu Aditya Putra I Wayan Kardana Ida Bagus Suradarma Linda Santiari, Ni Putu Luh Gede Surya Kartika, Luh Gede Made Agus Putra Subali Made Agus Putra Subali Made Sudarma Muhammad Riza Hilmi Ni Luh Putri Srinadi Ni Putu Linda Santiari Pande Kadek Yudiarta, Pande Kadek Putra, I Putu Aditya Putu Eny Suhardiyani Suartana, I Made Subali, Made Agus Putra Subawa, Made Dai Theo Rado Hotanto, Theo Rado Yohanes Priyo Atmojo Yundari, Yundari