A deep learning based model for defect prediction in intra-project software

K Sekaran, LSP Annabel - 2023 7th International Conference …, 2023 - ieeexplore.ieee.org
Testing of software ensures the supply of meaningful software and hence prediction of
defects in producing high quality software has become an inevitable one. Software defect …

Software defect prediction using SMOTE and artificial neural network

WA Dipa, WD Sunindyo - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
defect prediction (SDP) is process of identifying software defect on the early testing stage of
SDLC. SDP can saving time software tester on the development process. There are some …

Hybrid software defect prediction based on LSTM (long short term memory) and word embedding

RB Bahaweres, D Jumral, I Hermadi… - … On Smart Cities …, 2021 - ieeexplore.ieee.org
Defects often occur in software so it can cause various problems for users. The running
system may have defects, although they are not immediately apparent. Defects can be UI or …

[PDF][PDF] A survey of predicting software reliability using machine learning methods

SI Khaleel, LF Salih - Int J Artif Intell, 2024 - pdfs.semanticscholar.org
In light of technical and technological progress, software has become an urgent need in
every aspect of human life, including the medicine sector and industrial control. Therefore, it …

Pendekatan visual analytics dalam pemodelan prediksi cacat perangkat lunak menggunakan kombinasi pca dan smote

M Salsabila - 2022 - repository.uinjkt.ac.id
Prediksi cacat perangkat lunak memungkinkan manajer proyek perangkat lunak untuk
mengelola orang, biaya, dan waktu secara efisien dalam upaya meningkatkan kualitas …

Combining PCA and SMOTE for software defect prediction with visual analytics approach

RB Bahaweres, M Salsabila, NF Rozy… - … on Cyber and IT …, 2022 - ieeexplore.ieee.org
Software defect prediction enables efficient management of time and resources in the form
of improving software quality. Therefore, research to improve the performance or accuracy …

Software fault-prone module classification using learning automata based deep neural network model

MM Ahmed, BS Kiran, PH Sai… - 2021 12th International …, 2021 - ieeexplore.ieee.org
The software systems usually include some defects that will show adverse effects on the use
of the application. Software fault-prone module will help software professionals to release …

Software Defect Prediction Approaches Revisited

KS Shebl, YM Afify, N Badr - International Journal of Intelligent …, 2023 - journals.ekb.eg
A crucial field in software development and testing is Software Defect Prediction (SDP)
because the quality, dependability, efficiency, and cost of the software are all improved by …

A systematic approach for the detection of software bug using machine learning

M Vardhan, K Banerjee, D Aggarwal… - AIP Conference …, 2023 - pubs.aip.org
The quantity of data on the web is increasing as the user of the internet grows. Now,
Software is capable enough to replace everything that requires human interference or …

Perbandingan performa klasifikasi machine learning dengan teknik resampling pada dataset tidak seimbang

M Aminullah - 2021 - repository.uinjkt.ac.id
Ada beberapa pendekatan untuk mengatasi masalah dataset tidak seimbang, salah satunya
dengan menerapkan teknik resampling. Penelitian ini fokus untuk mengetahui …