Results 11 to 20 of about 4,310,333 (286)
Polyglot Code Smell Detection for Infrastructure as Code with GLITCH
2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023 This paper presents GLITCH, a new technology-agnostic framework that enables automated polyglot code smell detection for Infrastructure as Code scripts. GLITCH uses an intermediate representation on which different code smell detectors can be defined.
Nuno Saavedra +4 more
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A Unified Multi-Label Code Smell Dataset for Code Smell Detection at Different Granularities
IEEE AccessCode smell detection is critical for maintaining software quality and enabling effective refactoring, yet much prior work identifies only one smell at a time.
Haneen M. Alhadeaf, Mubarak Alrashoud
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Automated Code-Smell Detection in Microservices Through Static Analysis: A Case Study
Applied Sciences, 2020 Microservice Architecture (MSA) is becoming the predominant direction of new cloud-based applications. There are many advantages to using microservices, but also downsides to using a more complex architecture than a typical monolithic enterprise ...
Andrew Walker, Dipta Das, Tomas Cerny
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A Novel Approach for Code Smell Detection: An Empirical Study [PDF]
IEEE Access, 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.
Seema Dewangan +3 more
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IEEE AccessThe increasing demand for Android applications in line with technological evolution and the development of new features often leads to frequent updates and releases of applications.
Radinal Dwiki Novendra +1 more
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Cross-Language Code Smell Detection via Transfer Learning
Applied SciencesCode smells are code structures that indicate a potential issue in code design or implementation. These issues could affect the processes of code testing and maintenance, and overall software quality.
Rana Sandouka, Hamoud Aljamaan
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Detection of Bad Smell in Code Based on BP Neural Network [PDF]
Jisuanji gongcheng, 2020 Bad smells in code seriously affect the quality of software and its maintenance.To address the low accuracy of machine learning algorithms in bad smell detection and the single type of bad smell dataset,this paper proposes a detection method for bad ...
WANG Shuyan, ZHANG Yiquan, SUN Jiaze
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On the Assessment of Interactive Detection of Code Smells in Practice: A Controlled Experiment
IEEE Access, 2023 Code smells are structures in a program that often indicate the presence of deeper maintainability problems. Code smells should be detected as soon as they are introduced, enabling refactoring actions with less effort and time. Non-Interactive Detection (
Danyllo Albuquerque +6 more
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On the evaluation of code smells and detection tools [PDF]
Journal of Software Engineering Research and Development, 2017 Les odeurs de code font référence à tout symptôme dans le code source d'un programme qui indique éventuellement un problème plus profond, entravant la maintenance et l'évolution du logiciel. La détection des odeurs de code est difficile pour les développeurs et leur définition informelle conduit à la mise en œuvre de multiples techniques et outils de ...
Thanis Paiva +3 more
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Evaluasi Deteksi Smell Code dan Anti Pattern pada Aplikasi Berbasis Java
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2020 This paper presents an evaluation result of smell code and anti pattern detection in java based application development. The main objective to be achieved in this research is to determine the proper way in the detection of smell code and anti pattern in ...
Sendy Ferdian Sujadi
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