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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Smithsonian figshare
Dataset . 2021
License: CC BY
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Replication package for the paper "What do Developers Discuss about Code Comment Conventions"

Authors: Anonymous (7293629);

Replication package for the paper "What do Developers Discuss about Code Comment Conventions"

Abstract

# RP-commenting-conventions-multiple-sources Replication Package for the paper "What do Developers Discuss about Code Comment Conventions?" ## Structure ``` Appendix.pdf RQ1/ LDA_input/ stackoverfow_raw_dataset.csv LDA_output/ Mallet/ output_csv/ docs-in-topics.csv topic-words.csv topics-in-docs.csv topics-metadata.csv output_html/ all_topics.html Docs/ Topics/ RQ2/ datasource_rawdata/ mailing_lists_selection_criteria.csv quora.csv stackoverflow.csv manual_analysis_output/ stackoverflow_quora_taxonomy.xlsx ``` ## Contents of the Replication Package --- - **Appendix.pdf**- Appendix of the paper containing supplement tables - **RQ1/** - contains the data used to answer RQ1 - **LDA_input/** - input data used for LDA analysis - `stackoverfow_raw_dataset.csv` - stackoverflow questions used to perform LDA analysis - **LDA_output/** - **Mallet/** - contains the LDA output generated by MALLET tool - **output_csv/** - `docs-in-topics.csv` - documents per topic - `topic-words.csv` - most relevant topic words - `topics-in-docs.csv` - topic probability per document - `topics-metadata.csv` - metadata per document and topic probability - **output_html/** - Browsable results of mallet output - `all_topics.html` - `Docs/` - `Topics/` - **RQ2/** - contains the data used to answer RQ2 - **datasource_rawdata/** - contains the raw data for each source - `mailing_lists_selection_criteria.csv` - criteria used to select mailing_lists. - `quora.csv` - contains the processed dataset (like removing HTML tags). To know more about the preprocessing steps, please refer to the reproducibility section in the paper. The data is preprocessed using [Makar](https://github.com/maethub/makar) tool. - `stackoverflow.csv` - contains the processed Stack Overflow dataset. To know more about the preprocessing steps, please refer to the reproducibility section in the paper. The data is preprocessed using [Makar](https://github.com/maethub/makar) tool. - **manual_analysis_output/** - `stackoverflow_quora_taxonomy.xlsx` - contains the classified dataset of Stack Overflow and quora and a description of taxonomy. - `Taxonomy` - contains the description of the first dimension and second dimension categories. Second dimension categories are further divided into levels, separated by `|` symbol. - `stackoverflow-posts` - the questions are labelled relevant or irrelevant and categorized into the first dimension and second dimension categories. - `quota-posts` - the questions are labelled relevant or irrelevant and categorized into the first dimension and second dimension categories. ---

Keywords

Code comment analysis, Space Science, Science Policy, Mailing lists, Virology, Stack Overflow, Information Systems not elsewhere classified, Plant Biology, Quora, Mining developer sources, Developmental Biology, Biological Sciences not elsewhere classified

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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