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 …
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 …
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 …
On the relation of test smells to software code quality
Test smells are sub-optimal design choices in the implementation of test code. As reported
by recent studies, their presence might not only negatively affect the comprehension of test …
by recent studies, their presence might not only negatively affect the comprehension of test …
Software documentation: the practitioners' perspective
In theory,(good) documentation is an invaluable asset to any software project, as it helps
stakeholders to use, understand, maintain, and evolve a system. In practice, however …
stakeholders to use, understand, maintain, and evolve a system. In practice, however …
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] Just-in-time software vulnerability detection: Are we there yet?
Background: Software vulnerabilities are weaknesses in source code that might be exploited
to cause harm or loss. Previous work has proposed a number of automated machine …
to cause harm or loss. Previous work has proposed a number of automated machine …
The secret life of software vulnerabilities: A large-scale empirical study
E Iannone, R Guadagni, F Ferrucci… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Software vulnerabilities are weaknesses in source code that can be potentially exploited to
cause loss or harm. While researchers have been devising a number of methods to deal …
cause loss or harm. While researchers have been devising a number of methods to deal …
A systematic literature review on bad smells–5 w's: which, when, what, who, where
EV de Paulo Sobrinho, A De Lucia… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Bad smells are sub-optimal code structures that may represent problems needing attention.
We conduct an extensive literature review on bad smells relying on a large body of …
We conduct an extensive literature review on bad smells relying on a large body of …