Results 91 to 100 of about 7,998 (283)

Characterizing and Detecting Duplicate Logging Code Smells [PDF]

2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), 2019
Software logs are widely used by developers to assist in various tasks. Despite the importance of logs, prior studies show that there is no industrial standard on how to write logging statements. Recent research on logs often only considers the appropriateness of a log as an individual item (e.g., one single logging statement); while logs are typically
openaire   +2 more sources

Magnetic‐Field Control of Surface States in CoFe2O4 Thin Films for Nitrate Electroreduction to Ammonia

Advanced Functional Materials, EarlyView.
Magnetic‐field‐assisted CVD of heterometallic single‐source precursors modulates thin‐film surface electronic structure and interfacial charge transfer. Field‐grown (Cobalt ferrite‐1T)CF‐1T films exhibit stabilized electronic states, lower kinetic barriers, and markedly enhanced nitrate‐to‐ammonia electrocatalysis versus (Cobalt ferrite‐0T) CF‐0T ...
Touraj Karimpour, Younes Mousazade, Simon Diel, Shilendra Kumar Sharma, Tisita Das, Nathália C. Verissimo, Thomas Fischer, Ziyaad Aytuna, Andreas Lichtenberg, Sudip Chakraborty, Marcel Risch, Sanjay Mathur   +11 more
wiley   +1 more source

Detecting Code Smell with a Deep Learning System

, 2023
Code smell detection is one of the most significant issues in the software industry. Metric-based static code analysis tools are used to detect undesirable coding practices known as code smells and guide refactoring requirements.
Avar, Muhammed Yahya, Yanık, Ahmet, Nizam, Ali, Adaş, Ömer Kaan   +3 more
core   +1 more source

Hybrid Solar Cell/Triboelectric Nanogenerator Based on Stable Two‐Dimensional Covalent Organic Frameworks

Advanced Functional Materials, EarlyView.
This study highlights the integration of stable two‐dimensional covalent organic framework (COF) films as photoactive layers in hybrid nanoenergy devices. The results demonstrate their capacity to generate electricity under both sunny and rainy conditions, showcasing versatility and resilience.
Joab D. Guerrero, Susana Ramos‐Terrón, Salvador R. G. Balestra, José M. Malagón, David Aparicio, Lucia Velasco, Asterios Charisiadis, Dooshaye Moonshiram, Margarita Darder, Pilar Aranda, Bernd Wicklein, Gustavo de Miguel, Javier Pérez‐Carvajal, Eva M. García‐Frutos   +13 more
wiley   +1 more source

On the role of data balancing for Machine Learning-based Code Smell Detection

, 2019
Code smells can compromise software quality in the long term by inducing technical debt.For this reason, in the last decade many approaches aimed at identifying these design flaws have been proposed.Most of them are based on heuristics in which a set of ...
Andrea De Lucia (624210), Fabiano Pecorelli (6292523), Dario Di Nucci (3088926), Coen De Roover (767434)   +3 more
core   +2 more sources

Enhanced code smell detection using random forest optimized with particle swarm variants

Results in Engineering
In the software industry, the rapid growth of large-scale systems and frequent release cycles have intensified the challenge of maintaining long-term software quality.
Argo Wibowo, Adhistya Erna Permanasari, Teguh Bharata Adji   +2 more
doaj   +1 more source

PolyGraph – Flexible, Biocompatible & Electrically Optimized Graphene‐Polymer Composites for Next‐Generation Neural Interfaces

Advanced Healthcare Materials, EarlyView.
PolyGraph, a flexible graphene‐polycaprolactone nanocomposite, unites conductivity, biocompatibility, and processability for next‐generation neural interfaces. Fabricated into microneedle arrays with ultra‐flexible backings, PolyGraph enables bidirectional neuronal recording and stimulation in brain tissue, advancing brain‐computer interface (BCI) and ...
Jack Maughan, Ian Woods, Cian O'Connor, Pablo Quintana‐Sarti, Eoin Caffrey, Jose M. Munuera, Tian Carey, Adrian Dervan, Alejandro López Valdés, Omar Mamad, Maeve A. Caldwell, Fergal J. O'Brien, Jonathan N. Coleman   +12 more
wiley   +1 more source

Dead Code Detection Method Based on Convolutional Neural Network and Long Short-Term Memory [PDF]

Jisuanji gongcheng
Dead code is a code smell that leads to the gradual deterioration of software quality. Traditional dead code detection methods primarily rely on static analysis techniques, code structure metrics, and heuristic rules.
SUN Yikang, GAO Jianhua
doaj   +1 more source

Long‐Term Hydrophilic, Anti‐Clotting, and Anti‐Fibrotic Dynamic Covalent Silicone‐Based Biomaterials

Advanced Healthcare Materials, EarlyView.
Dynamic covalent crosslinking of a Schiff‐base silicone elastomer with hydrazide‐functionalized polymers is demonstrated to improve the long‐term hydrophilicity as well as the anti‐fouling and anti‐clotting properties of PDMS implants. The hydrazone‐functionalized material prevents hydrophobic recovery, resists clotting, and significantly reduces ...
Norma A. Garza Flores, Eva Mueller, Robert Bui, James C. Fredenburgh, Ruiqi Yin, Rawaa Hussain, Rida A. Malik, Thomas Kalab, Dabeer Abdul‐Azeez, Fei Xu, Michael Brook, Jeffrey I. Weitz, Todd Hoare   +12 more
wiley   +1 more source

An Empirical Evaluation of Ensemble Models for Python Code Smell Detection

Applied Sciences
Code smells, which represent poor design choices or suboptimal code implementations, reduce software quality and hinder the code maintenance process. Detecting code smells is, therefore, essential during software development.
Rajwant Singh Rao, Seema Dewangan, Alok Mishra   +2 more
doaj   +1 more source