Software fault prediction using data mining, machine learning and deep learning techniques: A systematic literature review

I Batool, TA Khan - Computers and Electrical Engineering, 2022 - Elsevier
Software fault/defect prediction assists software developers to identify faulty constructs, such
as modules or classes, early in the software development life cycle. There are data mining …

[PDF][PDF] Improving the accuracy of recurrent neural networks models in predicting software bug based on undersampling methods

NAA Khleel, K Nehéz - Indonesian Journal of Electrical …, 2023 - researchgate.net
The process of identifying software bugs is of paramount importance as it ensures software
reliability and facilitates maintenance activities. The quality improvement process of software …

A novel multi‐view ordinal classification approach for software bug prediction

P Yildirim Taser - Expert Systems, 2022 - Wiley Online Library
Software bug prediction aims to enhance software quality and testing efficiency by
constructing predictive classification models using code properties. This enables the prompt …

Toplam Ekipman Etkinliğine Etki Eden Faktörlerin Makine Öğrenim Yöntemleri ile Analizi

ÖV Çilengiroğlu, İ Genç - Verimlilik Dergisi, 2024 - dergipark.org.tr
Amaç: Üretim sektöründeki bir firmanın 2018-2019 yılı or**al verilerinden türetilmiş sıralı
ölçekteki Toplam Ekipman Etkinliği (TEE) puanı üzerinde etkili olan değişkenlerin makine …

A new framework for software defect predication using enhanced AI technique

IST Al-Hasnawi - 2021 - openaccess.altinbas.edu.tr
In this thesis, new framework planned for software defect estimation using LSTM using TSA.
The proposed framework combined AI technique with TSA to optimize the defect predication …