Results 141 to 150 of about 86,307 (298)

Snoring: A Noise Defect Prediction Datasets

, 2019
Defect prediction aims at identifying software artifacts that are likely to exhibit a defect. The main purpose of defect prediction is to reduce the cost of testing and code review, by letting developers focus on specific artifacts.
Ahluwalia, Aalok
core   +1 more source

Health Care Use Among Patients Presenting to Emergency Department for Gout Flares in Ontario, Canada: A Population‐Based Health Systems Analysis

Arthritis Care &Research, EarlyView.
Objective We characterized emergency department (ED) gout visits and identified patient characteristics and health services patterns contributing to ED presentations. Methods We conducted a population‐based study of ED gout visits in Ontario, Canada, between 2014 and 2023.
Timothy S. H. Kwok, Samantha Morais, William K. Silverstein, Clare L. Atzema, Gregory Choy, Priyanka Chandratre, Ping Li, Jessica Widdifield   +7 more
wiley   +1 more source

Prediction of Print Defect Perception

, 2008
This study examines the prediction of print defect perception (banding) of the human visual system (HVS) by combining detection probabilities of contrast components from wavelet and sinusoidal decompositions of defect patterns.
M. Vijay Venkatesh, Chengwu Cui, Kevin D. Donohue   +2 more
core  

FORESIGHT: Software Defects Prediction from Requirements Change Requests Using Machine Learning Methods

Systems
Software defect prediction is becoming key for software quality assurance. Traditional software defect prediction approaches have predominantly focused on analyzing code-level metrics, often overlooking valuable information available during the ...
Hanan Helwa, Adel Taweel
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Machine Learning Approaches for Software Defect Prediction

Applied Computational Intelligence and Soft Computing
This paper analyses existing research about machine learning approaches in software defect prediction as a key element for improving software reliability and quality.
Hijab Zehra Zaidi, Ubaid Ullah, Muddassira Arshad, Hanan Aljuaid, Muhammad Arslan Rauf, Nadeem Sarwar, Rimsha Sajid   +6 more
doaj   +1 more source

Laser Powder Bed Fusion of Alumina: Effects of Scanning Strategies on External and Internal Defects

Advanced Engineering Materials, EarlyView.
This study investigates how scanning strategies affect pure alumina in laser powder bed fusion. Linear 45° scanning yields uniform surfaces but high porosity, while the island‐concentric strategy provides higher density with through‐holes favorable for infiltration. Findings highlight pathways toward optimizing defect‐free alumina parts.
Mohamed Abdelmoula, Gökhan Küçüktürk, Duran Kaya, David Grossin, Christophe Tenailleau, Benjamin Duployer, Enrique Juste, Fabrice Petit   +7 more
wiley   +1 more source

On the Lightweight Potential of Laser Additive Manufactured NiTi Triply Periodic Minimal Sheet Lattices

Advanced Engineering Materials, EarlyView.
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo, Shuo Qu, Shiming Gao, Xu Song   +3 more
wiley   +1 more source

Open Issues in Software Defect Prediction

, 2015
Software Defect Prediction (SDP) is one of the most assisting activities of the Testing Phase of SDLC. It identifies the modules that are defect prone and require extensive testing.
Arora, Ishani, Tetarwal, Vivek, Saha, Anju   +2 more
core   +1 more source

Graph-based machine learning improves just-in-time defect prediction. [PDF]

PLoS One, 2023
Bryan J, Moriano P.
europepmc   +1 more source