Results 11 to 20 of about 19,688 (261)
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
doaj +3 more sources
Code smells for machine learning applications
Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, 2022 The popularity of machine learning has wildly expanded in recent years. Machine learning techniques have been heatedly studied in academia and applied in the industry to create business value. However, there is a lack of guidelines for code quality in machine learning applications.
Haiyin Zhang +2 more
openaire +5 more sources
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
doaj +1 more source
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
doaj +1 more source
Do Missing Link Community Smell Affect Developers Productivity: An Empirical Study
Knowledge Engineering and Data Science, 2021 Missing link smell occurs when developers contribute to the same source code without communicating with each other. Existing studies have analyzed the relationship of missing link smells with code smell and developer contribution.
Toukir Ahammed +2 more
doaj +1 more source
Security code smells in Android ICC [PDF]
Empirical Software Engineering, 2018 Accepted on 28 Nov 2018, Empirical Software Engineering Journal (EMSE ...
Pascal Gadient +3 more
openaire +4 more sources
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
doaj +1 more source
Are architectural smells independent from code smells? An empirical study [PDF]
Journal of Systems and Software, 2019 (in press)
Francesca Arcelli Fontana +3 more
openaire +6 more sources
An Exploratory Evaluation of Code Smell Agglomerations
SSRN Electronic Journal, 2022 Abstract Context. Code smell is a symptom of decisions about the system design or code that may degrade its modularity. For example, they may indicate inheritance misuse, excessive coupling and size. When two or more code smells occur in the same snippet of code, they form a code smell agglomeration. Objective.
Amanda Santana +3 more
openaire +1 more source
CoRR, 2018 Code smells as symptoms of poor design and implementation choices. Many times they are the result of so called technical debt. Our study showed that the interest in code smells research is increasing. However, most of the publications are appearing in conference proceedings. Most of the research is done in G7 and other highly developed countries.
Peter Kokol +3 more
openaire +2 more sources