Results 101 to 110 of about 7,998 (283)
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
An Evaluation of Multi-Label Classification Approaches for Method-Level Code Smells Detection
(1) Background: Code smell is the most popular and reliable method for detecting potential errors in code. In real-world circumstances, a single source code may have multiple code smells.
Pravin Singh Yadav +2 more
doaj +1 more source
Quality Improvement in Annotated Code
In order to customize their behavior at runtime, a wide sort of modern frameworks do use code annotations at the applications‟ classes as metadata configuration.
Diego A. A. Correia +3 more
doaj +1 more source
Code Smell Detection Techniques and Process: A Review
A code smell is a hint that something has turned out badly some place in your code. The idea of code smells was introduced to characterize various different types of design shortcomings in code.
, Pratiksha Sharma, Er. Arshpreet Kaur
core
Metric-based code smell detection technique for python software [PDF]
In software life cycle, maintenance is reported to cost between 80% and 90% of the total software cost. Instead of improving, software quality can deteriorate if maintenance of software is not carried out in line with design principles.
Leeman, Samaila Ja'afaru
core
In Situ Amine Formation to Modulate MOF‐Derived PdIn N‐Doped Carbon Catalysts
An amine‐assisted approach converts PdIn‐MOF into PdIn intermetallic nanoparticles embedded in N‐doped carbon. In situ‐generated amines trigger early Pd nucleation, producing smaller PdIn domains than direct pyrolysis. Amine sterics and basicity tune composition and particle size, while solvent and amine co‐determine textural features.
Gonzalo Egea +9 more
wiley +1 more source
Smell-ML: A Machine Learning Framework for Detecting Rarely Studied Code Smells
Code smells are design flaws that reduce the software quality and maintainability. Machine learning classification models have been used to detect different code smells.
Esraa Hamouda +2 more
doaj +1 more source
Code smells, being inherently subjective, can vary based on individual software developers' opinions and perspectives. Though many deep-learning-based models have been proposed for code smell detection, they often overlook the importance of considering ...
Nandani, Himesh
core
Eutectozymes as Soft Hybrid Materials for Advanced Biocatalysis
Eutectozymes are sustainable hybrid materials that embed a GOx–HRP cascade within hydrophobic eutectogels featuring a dual supramolecular–covalent network. This architecture preserves native enzyme structure and stability, enables efficient heterogeneous biocatalysis in aqueous media, and positions eutectogels as robust platforms for next‐generation ...
Manuel Eduardo Martinez Cartagena +10 more
wiley +1 more source
A heuristic-based approach to code-smell detection [PDF]
Encapsulation and data hiding are central tenets of the object oriented paradigm. Deciding what data and behaviour to form into a class and where to draw the line between its public and private details can make the difference between a class that is an understandable, flexible and reusable abstraction and one which is not.
Kirk, D., Roper, M., Wood, M.
openaire +2 more sources

