COVID-19 detection from CBC using machine learning techniques

A Akhtar, S Akhtar, B Bakhtawar… - International Journal …, 2021 - journals.gaftim.com
Covid-19 pandemic has seriously affected the mankind with colossal loss of life around the
world. There is a critical requirement for timely and reliable detection of Corona virus …

Treatment response prediction in hepatitis C patients using machine learning techniques

AA Kashif, B Bakhtawar, A Akhtar… - International Journal …, 2021 - journals.gaftim.com
The proper prognosis of treatment response is crucial in any medical therapy to reduce the
effects of the disease and of the medication as well. The mortality rate due to hepatitis c virus …

Ensemble machine learning paradigms in software defect prediction

T Sharma, A Jatain, S Bhaskar, K Pabreja - Procedia Computer Science, 2023 - Elsevier
Predicting faults in software aims to detect defects before the testing phase, allowing for
better resource allocation and high-quality software development, which is a requisite for …

Software defect prediction analysis using machine learning techniques

A Khalid, G Badshah, N Ayub, M Shiraz, M Ghouse - Sustainability, 2023 - mdpi.com
There is always a desire for defect-free software in order to maintain software quality for
customer satisfaction and to save testing expenses. As a result, we examined various known …

[PDF][PDF] A Classification Framework for Software Defect Prediction Using Multi-filter Feature Selection Technique and MLP.

A Iqbal, S Aftab - International Journal of Modern Education & …, 2020 - researchgate.net
Production of high quality software at lower cost can be possible by detecting defect prone
software modules before the testing process. With this approach, less time and resources …

Cross Project Software Defect Prediction Using Machine Learning: A Review

MS Saeed, M Saleem - … Journal of Computational and Innovative Sciences, 2023 - ijcis.com
Software defect prediction is a crucial area of study focused on enhancing software quality
and cutting down on software upkeep expenses. Cross Project Defect Prediction (CPDP) is …

[PDF][PDF] Software defect prediction using variant based ensemble learning and feature selection techniques

U Ali, S Aftab, A Iqbal, Z Nawaz, MS Bashir… - International Journal of …, 2020 - mecs-press.org
Testing is considered as one of the expensive activities in software development process.
Fixing the defects during testing process can increase the cost as well as the completion …

A novel four-way approach designed with ensemble feature selection for code smell detection

I Kaur, A Kaur - IEEE Access, 2021 - ieeexplore.ieee.org
Purpose: Code smells are residuals of technical debt induced by the developers. They
hinder evolution, adaptability and maintenance of the software. Meanwhile, they are very …

Bug severity classification in software using ant colony optimization based feature weighting technique

A Kukkar, Y Kumar, A Sharma, JK Sandhu - Expert Systems with …, 2023 - Elsevier
At the present, the delivery of the software should be time-bound without affecting the quality
of the software. However, bug severity can affect the timely delivery of software. It is a crucial …

Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning

M Ali, T Mazhar, A Al-Rasheed, T Shahzad… - PeerJ Computer …, 2024 - peerj.com
Effective software defect prediction is a crucial aspect of software quality assurance,
enabling the identification of defective modules before the testing phase. This study aims to …