On Predicting Rediscoveries of Software Defects [PDF]
The same defect may be rediscovered by multiple clients, causing unplanned outages and leading to reduced customer satisfaction. One solution is forcing clients to install a fix for every defect. However, this approach is economically infeasible, because it requires extra resources and increases downtime.
openaire +1 more source
A new binary chaos-based metaheuristic algorithm for software defect prediction
Software defect prediction is a critical challenge within software engineering aimed at enhancing software quality by proactively identifying potential defects.
Bahman Arasteh +3 more
semanticscholar +1 more source
Epilepsy‐Associated Variants of a Single SCN1A Codon Exhibit Divergent Functional Properties
ABSTRACT Objective Pathogenic variants in SCN1A, which encodes the voltage‐gated sodium channel NaV1.1, are associated with multiple epilepsy syndromes exhibiting a range of clinical severity. SCN1A variants are reported in different syndromes, including Dravet syndrome, which is associated with loss‐of‐function, whereas neonatal/infantile‐onset ...
Lanie N. Liebovitz +3 more
wiley +1 more source
SPG4 and Dementia: Expanding the Clinical Spectrum
ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza +19 more
wiley +1 more source
Graph Neural Network Defect Prediction Method Combined with Developer Dependencies [PDF]
In the software development process,timely identification and handling of high-risk defect modules are crucial.Traditional software defect prediction methods primarily rely on code-related information but often overlook the impact of developers' personal
QIAO Yu, XU Tao, ZHANG Ya, WEN Fengpeng, LI Qiangwei
doaj +1 more source
Refined Software Defect Prediction Using Enhanced JAYA Optimization and Extreme Learning Machine
Ensuring the dependability of software before its public release is of utmost importance. Many software issues arise due to human errors made throughout the development process, highlighting the importance of addressing these errors early.
Debasish Pradhan +7 more
semanticscholar +1 more source
A Software Defect Prediction Method Based on Program Semantic Feature Mining
As the size and complexity of software systems grow, knowing how to effectively judge whether there are defects in the programs has attracted extensive attention in research.
Wenjun Yao +3 more
semanticscholar +1 more source
Temporal convolutional networks for just-in-Time software defect prediction
Defect prediction and estimation techniques play a significant role in software maintenance and evolution. Recently, several research studies proposed just-in-time techniques to predict defective changes.
Aversano L. +3 more
core +2 more sources
Reproducibility and replicability of software defect prediction studies [PDF]
Context: Replications are an important part of scientific disciplines. Replications test the credibility of original studies and can separate true results from those that are unreliable.
Peter C.R. Lane +15 more
core +1 more source
RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu +21 more
wiley +1 more source

