Comparing and experimenting machine learning techniques for code smell detection

By Francesca Arcelli Fontana, Mika V. Mäntylä, Marco Zanoni, Alessandro Marino. Empirical Software Engineering, 2015

426 citations recorded by the source corpus.

Subfields: Information Systems, Software

View Paper: https://www.semanticscholar.org/paper/1aa955560242f32983cacb6c7f1ea9d9b36aa96a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Danny Dig
2. Matin Mansouri
3. Laleh Mousavi Eshkevari
4. Nikolaos Tsantalis
5. Davood Mazinanian

In Software

1. Matin Mansouri
2. Danny Dig
3. Laleh Mousavi Eshkevari
4. Nikolaos Tsantalis
5. Davood Mazinanian

Citations in the corpus

• Accurate and Efficient Refactoring Detection in Commit History (2018, methodology): “Several researchers proposed methods for deriving threshold values in metric-based detection techniques [2, 22, 25, 26, 59].”