Results 211 to 220 of about 7,650 (247)

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 0001
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Automatic Human-Like Detection of Code Smells

2021
Many code smell detection techniques and tools have been proposed, mainly aiming to eliminate design flaws and improve software quality. Most of them are based on heuristics which rely on a set of software metrics and corresponding threshold values. Those techniques and tools suffer from subjectivity issues, discordant results among the tools, and the ...
Chitsutha Soomlek, Jan N. van Rijn, Marcello M. Bonsangue   +2 more
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Leveraging Code Smell Detection with Inter-smell Relations

2006
The variety of code smells deserves a numerous set of detectors capable of sensing them. There exist several sources of data that may be examined: code metrics, existence of particular elements in an abstract syntax tree, specific code behavior or subsequent changes in the code. Another factor that can be used for this purpose is the knowledge of other,
Blazej Pietrzak, Bartosz Walter
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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, Thanitta Suwantada   +1 more
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Practitioners' Expectations on Code Smell Detection

2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
Jacky Keung, Wenhua Hu
exaly   +2 more sources

Java quality assurance by detecting code smells

Ninth Working Conference on Reverse Engineering, 2002. Proceedings., 2003
Software inspection is a known technique for improving software quality. It involves carefully examining the code, the design, and the documentation of software and checking these for aspects that are known to be potentially problematic based on past experience.
Eva Van Emden, Leon Moonen
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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, Shikhar Yadav, Subhasish Dhal   +2 more
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Are you smelling it? Investigating how similar developers detect code smells

Information and Software Technology, 2018
Abstract Context A code smell indicates a poor implementation choice that often worsens software quality. Thus, code smell detection is an elementary technique to identify refactoring opportunities in software systems. Unfortunately, there is limited knowledge on how similar two or more developers detect smells in code.
Mario Hozano, Alessandro Garcia 0001, Baldoino Fonseca, Evandro Costa   +3 more
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Detecting Code Smells

Code smells, defined as detrimental patterns and design choices in software development, significantly impact various aspects of Software Quality, such as maintainability, reuseability, and stability. These harmful effects can disrupt the software development cycle and result in a waste of development and managerial resources.
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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, Ferme, V, ZANONI, MARCO, Yamashita, A.   +3 more
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