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 …
A survey on software smells
T Sharma, D Spinellis - Journal of Systems and Software, 2018 - Elsevier
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 …
When and why your code starts to smell bad (and whether the smells go away)
Technical debt is a metaphor introduced by Cunningham to indicate “not quite right code
which we postpone making it right”. One noticeable symptom of technical debt is …
which we postpone making it right”. One noticeable symptom of technical debt is …
Using natural language processing to automatically detect self-admitted technical debt
E da Silva Maldonado, E Shihab… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The metaphor of technical debt was introduced to express the trade off between productivity
and quality, ie, when developers take shortcuts or perform quick hacks. More recently, our …
and quality, ie, when developers take shortcuts or perform quick hacks. More recently, our …
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 …
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 …
A large empirical assessment of the role of data balancing in machine-learning-based code smell detection
Code smells can compromise software quality in the long term by inducing technical debt.
For this reason, many approaches aimed at identifying these design flaws have been …
For this reason, many approaches aimed at identifying these design flaws have been …
Toward a smell-aware bug prediction model
Code smells are symptoms of poor design and implementation choices. Previous studies
empirically assessed the impact of smells on code quality and clearly indicate their negative …
empirically assessed the impact of smells on code quality and clearly indicate their negative …
A systematic literature review on the code smells datasets and validation mechanisms
M Zakeri-Nasrabadi, S Parsa, E Esmaili… - ACM Computing …, 2023 - dl.acm.org
The accuracy reported for code smell-detecting tools varies depending on the dataset used
to evaluate the tools. Our survey of 45 existing datasets reveals that the adequacy of a …
to evaluate the tools. Our survey of 45 existing datasets reveals that the adequacy of a …