Results 71 to 80 of about 7,998 (283)

Cross-Language Code Smell Detection via Transfer Learning

Applied Sciences
Code smells are code structures that indicate a potential issue in code design or implementation. These issues could affect the processes of code testing and maintenance, and overall software quality.
Rana Sandouka, Hamoud Aljamaan
doaj   +1 more source

Five‐Year Disease Progression in Synuclein Seeding Positive Sporadic Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To provide a comprehensive description of disease progression in synuclein seeding assay (SAA) positive sporadic Parkinson Disease participants, using Neuronal Synuclein Disease integrated biological and functional impairment staging framework.
Paulina Gonzalez‐Latapi, Caroline Gochanour, Seung Ho Choi, Hyunkeun Cho, Chelsea Caspell‐Garcia, Christopher Coffey, Michael Brumm, David‐Erick Lafontant, Yuge Xiao, Thomas Tropea, John Seibyl, Caroline Tanner, Charles S. Venuto, Karl Kieburtz, Lana M. Chahine, Kathleen L. Poston, Andrew Siderowf, Kenneth Marek, Tanya Simuni, The Parkinson's Progression Markers Initiative   +19 more
wiley   +1 more source

Semantic code smell detection from raw source code using transformers with chunking and data augmentation

Machine Learning with Applications
Modern software development has become increasingly complex, leading to larger codebases and longer development cycles. To maintain code quality, developers often detect and address code smells through software refactoring, patterns in code that ...
Tiwat Werawatganon, Pittipol Kantavat
doaj   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

Evaluating Embedding Representations for Multiclass Code Smell Detection: A Comparative Study of CodeBERT and General-Purpose Embeddings

Applied Sciences
Code smells are indicators of potential design problems in software systems and are commonly used to guide refactoring activities. Recent advances in representation learning have enabled the use of embedding-based models for analyzing source code ...
Marcela Mosquera, Rodolfo Bojorque
doaj   +1 more source

GLITCH: Automated Polyglot Security Smell Detection in Infrastructure as Code

, 2022
This research presents GLITCH, a technology-agnostic framework for automated polyglot security smell detection in Infrastructure as Code (IaC) scripts.
Nuno Saavedra, João F. Ferreira
core  

Comparing Machine Learning and Heuristic Approaches for Metric-Based Code Smell Detection

, 2020
Code smells represent poor implementation choices applied by developers when enhancing source code. Their negative impact on source code maintainability and comprehensibility has been widely shown in the past and several techniques to automatically ...
Andrea De Lucia (624210), Fabio Palomba (434968), Fabiano Pecorelli (6292523), Dario Di Nucci (3088926)   +3 more
core   +1 more source

Organizing the Technical Debt Landscape [PDF]

, 2012
To date, several methods and tools for detecting source code and design anomalies have been developed. While each method focuses on identifying certain classes of source code anomalies that potentially relate to technical debt (TD), the overlaps and gaps
Nico Zazworka, Yuanfang Cai, Antonio Vetrò, VETRO', ANTONIO, Vetrò, Antonio, Forrest Shull, Clemente Izurieta, Carolyn Seaman, Informatics Dept   +8 more
core   +1 more source

When code smells twice as much: Metric-based detection of variability-aware code smells [PDF]

2015 IEEE 15th International Working Conference on Source Code Analysis and Manipulation (SCAM), 2015
Code smells are established, widely used characterizations of shortcomings in design and implementation of software systems. As such, they have been subject to intensive research regarding their detection and impact on understandability and changeability of source code.
Wolfram Fenske, Sandro Schulze, Daniel Meyer, Gunter Saake   +3 more
openaire   +1 more source

Prodromal Lewy Body Disorder Features in REM Sleep Behavior Disorder With Biomarker‐Defined Synucleinopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid eye movement sleep behavior disorder (iRBD) is a prodromal state for Lewy body disorders and exhibits biological heterogeneity that may influence clinical expression and progression. We examined clinical features in individuals with iRBD and biomarker‐defined synucleinopathy.
Daniel Weintraub, Michele K. York, Roseanne Dobkin, Anuprita R. Nair, Ryan Kurth, David‐Erick Lafontant, Chelsea Caspell‐Garcia, Roy N. Alcalay, Ethan G. Brown, Lana M. Chahine, Christopher Coffey, Tatiana Foroud, Douglas Galasko, Karl Kieburtz, Kenneth Marek, Kalpana Merchant, Brit Mollenhauer, Kathleen L. Poston, Andrew Siderowf, Cristina Simonet, Tanya Simuni, Caroline M. Tanner, Thomas F. Tropea, Aleksandar Videnovic, The Parkinson's Progression Markers Initiative   +24 more
wiley   +1 more source