A large-scale comparative analysis of Coding Standard conformance in Open-Source Data Science projects

Simmons, Anj; Barnett, Scott; Rivera Villicana, Jessica; Bajaj, A; Vasa, Rajesh

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A large-scale comparative analysis of Coding Standard conformance in Open-Source Data Science projects

conference contribution

posted on 2020-01-01, 00:00 authored by Anj SimmonsAnj Simmons, Scott BarnettScott Barnett, Jessica Rivera Villicana, A Bajaj, Rajesh VasaRajesh Vasa

A large-scale comparative analysis of Coding Standard conformance in Open-Source Data Science projects

History

Event

Empirical Software Engineering and Measurement. Conference (2020 : Bari, Italy)

Pagination

1 - 11

Publisher

ACM

Location

Bari, Italy

Place of publication

New York, N.Y.

Publisher DOI

https://doi.org/10.1145/3382494.3410680

Start date

2020-10-05

End date

2020-10-09

ISSN

1949-3770

eISSN

1949-3789

ISBN-13

9781450375801

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

ESEM '20: Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement

Usage metrics

Keywords

Open-source software data science machine learning code style code smells code quality code conventions

File(s) under permanent embargo

A large-scale comparative analysis of Coding Standard conformance in Open-Source Data Science projects

History

Event

Pagination

Publisher

Location

Place of publication

Publisher DOI

Start date

End date

ISSN

eISSN

ISBN-13

Language

Publication classification

Title of proceedings

Usage metrics

Categories

Keywords

Licence

Exports