Machine learning techniques for code smell detection: A systematic literature review and meta-analysis
Background: Code smells indicate suboptimal design or implementation choices in the
source code that often lead it to be more change-and fault-prone. Researchers defined …
source code that often lead it to be more change-and fault-prone. Researchers defined …
Code smells and refactoring: A tertiary systematic review of challenges and observations
Refactoring and smells have been well researched by the software-engineering research
community these past decades. Several secondary studies have been published on code …
community these past decades. Several secondary studies have been published on code …
On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation
Code smells were defined as symptoms of poor design choices applied by programmers
during the development of a software project [2]. They might hinder the comprehensibility …
during the development of a software project [2]. They might hinder the comprehensibility …
Detecting code smells using machine learning techniques: Are we there yet?
Code smells are symptoms of poor design and implementation choices weighing heavily on
the quality of produced source code. During the last decades several code smell detection …
the quality of produced source code. During the last decades several code smell detection …
A survey on software smells
Context Smells in software systems impair software quality and make them hard to maintain
and evolve. The software engineering community has explored various dimensions …
and evolve. The software engineering community has explored various dimensions …
Fully autonomous programming with large language models
Current approaches to program synthesis with Large Language Models (LLMs) exhibit a"
near miss syndrome": they tend to generate programs that semantically resemble the correct …
near miss syndrome": they tend to generate programs that semantically resemble the correct …
Test smell detection tools: A systematic map** study
Test smells are defined as sub-optimal design choices developers make when
implementing test cases. Hence, similar to code smells, the research community has …
implementing test cases. Hence, similar to code smells, the research community has …
Beyond technical aspects: How do community smells influence the intensity of code smells?
Code smells are poor implementation choices applied by developers during software
evolution that often lead to critical flaws or failure. Much in the same way, community smells …
evolution that often lead to critical flaws or failure. Much in the same way, community smells …
Comparing heuristic and machine learning approaches for metric-based code smell detection
Code smells represent poor implementation choices performed by developers when
enhancing source code. Their negative impact on source code maintainability and …
enhancing source code. Their negative impact on source code maintainability and …
[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 …