Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Rajwant Singh"'
Publikováno v:
IEEE Access, Vol 12, Pp 53664-53676 (2024)
(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. Multi-label code smell detection is a popular research study.
Externí odkaz:
https://doaj.org/article/f39d7c7bdd004a35abb888a8c6d53730
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)
Abstract Detecting code smells may be highly helpful for reducing maintenance costs and raising source code quality. Code smells facilitate developers or researchers to understand several types of design flaws. Code smells with high severity can caus
Externí odkaz:
https://doaj.org/article/390201780b7440ceaddb104fbf034404
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6149 (2024)
Code smells are early warning signs of potential issues in software quality. Various techniques are used in code smell detection, including the Bayesian approach, rule-based automatic antipattern detection, antipattern identification utilizing B-spli
Externí odkaz:
https://doaj.org/article/0cbf56c35776470da589e2a26f280f6d
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 7, Iss 3, Pp 380-398 (2022)
Wireless technology, especially Vehicular Ad-hoc Network (VANET), is developing rapidly. VANET is an emerging technology that assists intelligent transportation systems by improving traffic services and helping in minimizing road accidents. Data shar
Externí odkaz:
https://doaj.org/article/97b19447895e4b39bd13a13e0a78c4f1
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 7, Iss 2, Pp 211-230 (2022)
Vehicular Ad-hoc Network (VANET) is an essential part of futuristic Intelligent Transportation Systems. VANET can improve the overall traffic control system and reduce road accident deaths by providing remote health monitoring in hazardous conditions
Externí odkaz:
https://doaj.org/article/211d050ef46c4f4b8afac0d4d1c13118
Publikováno v:
IEEE Access, Vol 9, Pp 162869-162883 (2021)
Code smells detection helps in improving understandability and maintainability of software while reducing the chances of system failure. In this study, six machine learning algorithms have been applied to predict code smells. For this purpose, four c
Externí odkaz:
https://doaj.org/article/d6b0149679174292a03622a1620db9ec
Publikováno v:
Applied Sciences, Vol 12, Iss 20, p 10321 (2022)
Code smells are the result of not following software engineering principles during software development, especially in the design and coding phase. It leads to low maintainability. To evaluate the quality of software and its maintainability, code sme
Externí odkaz:
https://doaj.org/article/ceadbaab626148909d67c379681a3ee8
Publikováno v:
In Engineering Applications of Artificial Intelligence January 2025 139 Part A
Akademický článek
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