Towards reliable rule mining about code smells: The McPython approach

Maciej Ziobrowski; Mirosław Ochodek; Jerzy Nawrocki; Bartosz Walter

doi:10.15439/2023F2071

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Title

Towards reliable rule mining about code smells: The McPython approach

Authors

Maciej Ziobrowski (WIiT) ^{[ 1 ][ S ]}
Mirosław Ochodek (WIiT) ^{[ 2 ][ 2.3 ][ P ]}
Jerzy Nawrocki (WIiT) ^{[ 2 ][ 2.3 ][ P ]}
Bartosz Walter (WIiT) ^{[ 2 ][ 2.3 ][ P ]}

^{[ 1 ]} Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ 2 ]} Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ S ]} student | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2023

Chapter type

chapter in monograph / paper

Publication language

english

Keywords

EN

Rule mining
code smell
McPython
Python
domain specific languages

Pages (from - to)

65 - 66

DOI

10.15439/2023F2071

URL

https://annals-csis.org/proceedings/2023/drp/pdf/2071.pdf

Book

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, September 17–20, 2023, Warsaw, Poland

Presented on

18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023), 17-20.09.2023, Warszawa, Polska

Ministry points / chapter

20

Ministry points / conference (CORE)

20

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