Machine learning techniques for code smell detection: A systematic literature review and meta-analysis

MI Azeem, F Palomba, L Shi, Q Wang - Information and Software …, 2019 - Elsevier
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 …

Detecting code smells using machine learning techniques: Are we there yet?

D Di Nucci, F Palomba, DA Tamburri… - 2018 ieee 25th …, 2018 - ieeexplore.ieee.org
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 …

On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation

F Palomba, G Bavota, M Di Penta, F Fasano… - Proceedings of the 40th …, 2018 - dl.acm.org
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 …

On the relation of test smells to software code quality

D Spadini, F Palomba, A Zaidman… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
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 …

Software documentation: the practitioners' perspective

E Aghajani, C Nagy, M Linares-Vásquez… - Proceedings of the …, 2020 - dl.acm.org
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 …

Beyond technical aspects: How do community smells influence the intensity of code smells?

F Palomba, DA Tamburri, FA Fontana… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
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 …

Comparing heuristic and machine learning approaches for metric-based code smell detection

F Pecorelli, F Palomba, D Di Nucci… - 2019 IEEE/ACM 27th …, 2019 - ieeexplore.ieee.org
Code smells represent poor implementation choices performed by developers when
enhancing source code. Their negative impact on source code maintainability and …

[HTML][HTML] Just-in-time software vulnerability detection: Are we there yet?

F Lomio, E Iannone, A De Lucia, F Palomba… - Journal of Systems and …, 2022 - Elsevier
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 …

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 …

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 …