Making More with Less: Improving Software Testing Outcomes Using a Cross-Project and Cross-Language ML Classifier Based on Cost-Sensitive Training
AM Nascimento, GKG Shimanuki, LAV Dias - Applied Sciences, 2024 - mdpi.com
Featured Application The technique uses Machine Learning (ML) models to support
decision-making on software testing scope and resource allocation to augment the …
decision-making on software testing scope and resource allocation to augment the …
Cascade Generalization-based Classifiers for Software Defect Prediction
The process of software defect prediction (SDP) involves predicting which software system
modules or components pose the highest risk of being defective. The projections and …
modules or components pose the highest risk of being defective. The projections and …
Information technology for prediction of software quality level
T Hovorushchenko, Y Voichur… - … and Computer Systems, 2023 - nti.khai.edu
Today, there is a contradiction between the rapid increase in the complexity and size of
modern software while increasing responsibility for the performance of their functions, the …
modern software while increasing responsibility for the performance of their functions, the …
[PDF][PDF] Performance Analysis of Classification Algorithms for Software Defects Prediction by Mathematical Modelling & Simulations
SY Shaikh, NA Qureshi, MZ Khan… - Journal of Software …, 2023 - researchgate.net
This study explores machine learning (ML) techniques for Software defects prediction (SDP)
by using Mathematical Modelling & Simulation. The SDP is also used in the critical systems …
by using Mathematical Modelling & Simulation. The SDP is also used in the critical systems …