Results 271 to 280 of about 45,762 (323)

Development of a simplified smell test to identify Parkinson's disease using multiple cohorts, machine learning and item response theory. [PDF]

open access: yesNPJ Parkinsons Dis
Li J   +17 more
europepmc   +1 more source

Deep Learning Based Code Smell Detection

IEEE Transactions on Software Engineering, 2021
Code smells are structures in the source code that suggest the possibility of refactorings. Consequently, developers may identify refactoring opportunities by detecting code smells. However, manual identification of code smells is challenging and tedious.
Hui Liu   +5 more
openaire   +1 more source

Code Smell Detecting Tool and Code Smell-Structure Bug Relationship

2012 Spring Congress on Engineering and Technology, 2012
This paper proposes an approach for detecting the so- called bad smells in software known as Code Smell. In considering software bad smells, object-oriented software metrics were used to detect the source code whereby Eclipse Plugins were developed for detecting in which location of Java source code the bad smell appeared so that software refactoring ...
Phongphan Danphitsanuphan   +1 more
openaire   +1 more source

JSNOSE: Detecting JavaScript Code Smells

2013 IEEE 13th International Working Conference on Source Code Analysis and Manipulation (SCAM), 2013
JavaScript is a powerful and flexible prototype-based scripting language that is increasingly used by developers to create interactive web applications. The language is interpreted, dynamic, weakly-typed, and has first-class functions. In addition, it interacts with other web languages such as CSS and HTML at runtime.
Amin Milani Fard, Ali Mesbah
openaire   +1 more source

Detecting Code Smells using Deep Learning

TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), 2019
A smell in software refers to a symptom introduced in software artifacts such as architecture, design or code. A code smell can potentially cause deeper and serious problems, while dealing with mainly non-functional requirements such as testability, maintainability, extensibility and scalability.
Ananta Kumar Das   +2 more
openaire   +1 more source

Detecting Code Smells in Python Programs

2016 International Conference on Software Analysis, Testing and Evolution (SATE), 2016
As a traditional dynamic language, Python is increasingly used in various software engineering tasks. However, due to its flexibility and dynamism, Python is a particularly challenging language to write code in and maintain. Consequently, Python programs contain code smells which indicate potential comprehension and maintenance problems.
Zhifei Chen   +3 more
openaire   +1 more source

Automatic Metric Thresholds Derivation for Code Smell Detection

2015 IEEE/ACM 6th International Workshop on Emerging Trends in Software Metrics, 2015
Code smells are archetypes of design shortcomings in the code that can potentially cause problems during maintenance. One known approach for detecting code smells is via detection rules: a combination of different object-oriented metrics with pre-defined threshold values.
ARCELLI FONTANA, FRANCESCA   +3 more
openaire   +2 more sources

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