Analysis of Different Machine Learning Techniques for Defect Prediction of a Software

BP Rai, CS Raghuvanshi, HO Sharan - RES MILITARIS, 2023 - resmilitaris.net
Every company requires reliable and effective software to fulfill its requirement, at a low cost.
Defective software can be dangerous in all fields whether you are using it in development …

[PDF][PDF] SOFTWARE DEFECT PREDICTION DENGAN RANDOM OVER SAMPLING DAN RANDOM FOREST LEARNING

TAA Sandi - repository.bsi.ac.id
Puji Nama Tuhan, dengan mengucapkan puji syukur kehadirat Tuhan Yang Maha Esa yang
telah melimpahkan hikmat marifat dan karunia-Nya, sehingga pada akhirnya penulis dapat …

Menggunakan Cost Sensitive Learning dan Neural Network Optimasi Imbalance Class Pada Prediksi Cacat Perangkat Lunak

IK Nuraini - repository.uinjkt.ac.id
Cacat perangkat lunak yang ditemukan pada saat aplikasi telah di luncurkan dapat
menimbulkan berbagai masalah dan merugikan banyak pihak, mulai dari pemilik …

Penerapan seleksi fitur untuk prediksi cacat perangkat lunak menggunakan algoritma optimasi multi tujuan nsga ii

R Rizqia - repository.uinjkt.ac.id
Dalam sub domain Prediksi Cacat Perangkat lunak, terdapat permasalahan terkait feature
yang irrelevant dan redundant sehingga memerlukan tindakan penyelesaian untuk …

[PDF][PDF] Predicting Defects in Software Projects under Development: A Survey

F Rahman, P Rai, AK Pandey - researchgate.net
Identifying and solving the defects is an integral part of software development. Solving
defects is a complex and time-consuming activity. Software defect detection …

[引用][C] EMPIRICAL VALIDATION OF OBJECT-ORIENTED METRICS FOR IMBALANCED CLASSIFICATION USING OPEN SOURCE SOFTWARE

J Jain - 2021 - DELHI TECHNOLOGICAL …

[PDF][PDF] Research Article Software Defect Prediction for Healthcare Big Data: An Empirical Evaluation of Machine Learning Techniques

B Khan, R Naseem, MA Shah, K Wakil, A Khan… - 2021 - academia.edu
Software defect prediction (SDP) in the initial period of the software development life cycle
(SDLC) remains a critical and important assignment. SDP is essentially studied during few …

[PDF][PDF] Методы машинного обучения для обнаружения дефектов программного обеспечения

ИС Климов - ББК 1 Н 34 - na-journal.ru
В данной статье рассмотрены и проанализированы основные методы машинного
обучения с целью обнаружения дефектов программного обеспечения (далее—ПО) …

Estimate the performance of applying machine learning algorithms to predict defects in software using weka

F AlShaikh, W Elmedany - 2021 - IET
Predicting faults in any software becomes one of the critical study fields in software
engineering. Software defect prediction in the early stages of the software development life …

[PDF][PDF] A meta-analytical comparison of Naive Bayes and Random Forest for software defect prediction

AC Muhammad, W Gu - researchgate.net
Different Machine learning techniques are being used for software defect prediction. In this
study we have performed a systematic literature review based meta-analytical assessment …