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 …
被引用次数：124 相关文章
[PDF] github.io

[PDF][PDF] Comparing Heuristic and Machine Learning Approaches for Metric-Based Code Smell Detection

F Pecorelli, F Palomba, D Di Nucci, A De Lucia - fabiano-pecorelli.github.io
Code smells represent poor implementation choices performed by developers when
enhancing source code. Their negative impact on source code maintainability and …

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

F Pecorelli, F Palomba, D Di Nucci… - Proceedings of the 27th …, 2019 - dl.acm.org
Code smells represent poor implementation choices performed by developers when
enhancing source code. Their negative impact on source code maintainability and …

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

F Pecorelli, F Palomba… - IEEE International …, 2019 - research.tilburguniversity.edu
Code smells represent poor implementation choices performed by developers when
enhancing source code. Their negative impact on source code maintainability and …

Comparing Heuristic and Machine Learning Approaches for Metric-Based Code Smell Detection

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

[PDF][PDF] Comparing Heuristic and Machine Learning Approaches for Metric-Based Code Smell Detection

F Pecorelli, F Palomba, D Di Nucci, A De Lucia - dibt.unimol.it
Code smells represent poor implementation choices performed by developers when
enhancing source code. Their negative impact on source code maintainability and …
[PDF] vub.ac.be

[PDF][PDF] Comparing Heuristic and Machine Learning Approaches for Metric-Based Code Smell Detection

F Pecorelli, F Palomba, D Di Nucci, A De Lucia - soft.vub.ac.be
Code smells represent poor implementation choices performed by developers when
enhancing source code. Their negative impact on source code maintainability and …

[引用][C] Comparing heuristic and machine learning approaches for metric-based code smell detection

F Pecorelli, F Palomba, D Di Nucci… - … Conference on Program …, 2019 - iris.unisa.it
Comparing heuristic and machine learning approaches for metric-based code smell detection
IRIS IRIS Home Sfoglia Macrotipologie & tipologie Autore Titolo Riviste Serie IT Italiano Italiano …

Comparing Heuristic and Machine Learning Approaches for Metric-Based Code Smell Detection

F Pecorelli, F Palomba, D Di Nucci… - 27th International …, 2018 - researchportal.vub.be
Code smells represent poor implementation choices performed by developers when
enhancing source code. Their negative impact on source code maintainability and …
[PDF] github.io

[PDF][PDF] Comparing Heuristic and Machine Learning Approaches for Metric-Based Code Smell Detection

F Pecorelli, F Palomba, D Di Nucci, A De Lucia - fpalomba.github.io
Code smells represent poor implementation choices performed by developers when
enhancing source code. Their negative impact on source code maintainability and …