Deep learning approaches for bad smell detection: a systematic literature review
Context Bad smells negatively impact software quality metrics such as understandability,
reusability, and maintainability. Reduced costs and enhanced software quality can be …
reusability, and maintainability. Reduced costs and enhanced software quality can be …
Machine learning for software engineering: A tertiary study
Machine learning (ML) techniques increase the effectiveness of software engineering (SE)
lifecycle activities. We systematically collected, quality-assessed, summarized, and …
lifecycle activities. We systematically collected, quality-assessed, summarized, and …
A survey on machine learning techniques for source code analysis
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
[HTML][HTML] Automatic detection of Long Method and God Class code smells through neural source code embeddings
Code smells are structures in code that often harm its quality. Manually detecting code
smells is challenging, so researchers proposed many automatic detectors. Traditional code …
smells is challenging, so researchers proposed many automatic detectors. Traditional code …
[HTML][HTML] Drivers behind the public perception of artificial intelligence: insights from major Australian cities
Artificial intelligence (AI) is not only disrupting industries and businesses, particularly the
ones have fallen behind the adoption, but also significantly impacting public life as well. This …
ones have fallen behind the adoption, but also significantly impacting public life as well. This …
[HTML][HTML] How far are we from reproducible research on code smell detection? A systematic literature review
T Lewowski, L Madeyski - Information and Software Technology, 2022 - Elsevier
Context: Code smells are symptoms of wrong design decisions or coding shortcuts that may
increase defect rate and decrease maintainability. Research on code smells is accelerating …
increase defect rate and decrease maintainability. Research on code smells is accelerating …
Detecting code smells using industry-relevant data
L Madeyski, T Lewowski - Information and Software Technology, 2023 - Elsevier
Context Code smells are patterns in source code associated with an increased defect rate
and a higher maintenance effort than usual, but without a clear definition. Code smells are …
and a higher maintenance effort than usual, but without a clear definition. Code smells are …
[HTML][HTML] A survey on machine learning techniques applied to source code
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
[HTML][HTML] Industrial applications of software defect prediction using machine learning: A business-driven systematic literature review
S Stradowski, L Madeyski - Information and Software Technology, 2023 - Elsevier
Context: Machine learning software defect prediction is a promising field of software
engineering, attracting a great deal of attention from the research community; however, its …
engineering, attracting a great deal of attention from the research community; however, its …
Automatic detection of code smells using metrics and CodeT5 embeddings: a case study in C#
Code smells are poorly designed code structures indicating that the code may need to be
refactored. Recognizing code smells in practice is complex, and researchers strive to …
refactored. Recognizing code smells in practice is complex, and researchers strive to …