Software Defect Prediction using ANN Algorithm

BM Shankar, SA Sivakumar, D Dhabliya… - … Conference on I …, 2023 - ieeexplore.ieee.org
The software industry is rapidly evolving due to increasing demand and technology.
Software created by humans can contain a number of errors which are known as defects …

[PDF][PDF] Application of machine learning in tax prediction: A review with practical approaches

O Akinrinola, WA Addy, AO Ajayi-Nifise… - Global Journal of …, 2024 - researchgate.net
This scholarly exploration delves into the dynamic intersection of machine learning (ML) and
tax prediction, a realm where the fusion of advanced computational techniques and fiscal …

[HTML][HTML] Software Defect Prediction System Based on Well-Tuned Random Forest Technique

FH Khorsheed, NJ Ibrahim… - Интеллектуальные …, 2023 - cyberleninka.ru
Software quality is the main criterion for increasing user demand for software. Therefore,
software companies seek to ensure software quality by predicting software defects in the …

Интеллектуальные технологии на транспорте (сетевой электронный научный журнал) Статьи

ФХ Хоршид, Н Ибрагим, К Сайхуд - itt-pgups.ru
Аннотация Качество программного обеспечения является основным критерием для
повышения спроса пользователей на программное обеспечение. Поэтому компании …

[PDF][PDF] Software Defect Prediction System Based on Well-Tuned Random Forest Technique

Q Saihood, FH Khorsheed, NJ Ibrahim - researchgate.net
Software quality is the main criterion for increasing user demand for software. Therefore,
software companies seek to ensure software quality by predicting software defects in the …

[引用][C] Analyst's Perception on the Use of AI-based Tools in the Software Development Life Cycle

R Giffari, MM Ridho, DI Sensuse, DS Hidayat… - Jurnal Sistem Informasi, 2024