poojaruhal/RP-commenting-practices-social-media: RP-commenting-practices-social-media: RP_TOSEM_2020 v.1.0.1 Second release of of the replication Package for the paper "What do Developers Discuss about Code Comment Conventions on Social Media"

RP-commenting-practices-social-media

Replication Package for the paper "What do Developers Discuss about Code Comment Conventions on Social Media?"

Structure

Paper-presenation.pdf

Makar_tool/
    Data/
        stackoverfow_questions_with_answers_by_tags.csv
        stackoverfow_tags_metrics.csv
        apache_mailing_list.csv
        mailing_lists_ASF_@dev_@users_1.csv
        mailing_lists_ASF_@dev_@users_2.csv
        quora.csv
        sample_stackoverfow_questions_with_answers_by_tags.csv
    Schemas/
        apache_mailing_lists.json
        quora.json
        stackoverfow_questions_answers_by_tag.json
        stackoverfow_tag_count.json
        stackoverfow_tag_metrics.json

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

Paper-presenation.pdf presents the highlights of the work in a presenation.

Makar_tool/ contains the data processed using the tool for the study

• Data/

  • stackoverfow_questions_with_answers_by_tags.csv - all stackoverflow questions used in the study as stored in Makar
    • stackoverfow_tags_metrics.csv - all data containing the calculations done for stackoverflow tag selection
    • apache_mailing_list.csv - statistically significant sample of mailing_lists_ASF_@dev_@users_1.csv and mailing_lists_ASF_@dev_@users_2.csv used in the study
    • mailing_lists_ASF_@dev_@users_1.csv - mailing list data used in the study as stored in Makar (part 1)
    • mailing_lists_ASF_@dev_@users_2.csv - mailing list data used in the study as stored in Makar (part 2)
    • quora.csv - all quora questions used in the study as stored in Makar
    • sample_stackoverfow_questions_with_answers_by_tags - statistically significant sample of stackoverfow_questions_with_answers_by_tags.csv used in the study

• Schemas/

  • apache_mailing_lists.json - data schema used in Makar to store mailing list data
  • quora.json - data schema used in Makar to store quora data
  • stackoverfow_questions_answers_by_tag.json - data schema used in Makar to store stackoverflow questions data
  • stackoverfow_tag_count.json - data schema used in Makar to lookup number of questions per tag available in stackoverflow
  • stackoverfow_tag_metrics.json - data schema used in Makar to stackoverflow tag metrics data

• 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 tool.
    • stackoverflow.csv - contains the processed stackoverflow dataset. To know more about the preprocessing steps, please refer to the reproducibility section in the paper. The data is preprocessed using Makar tool.
  • manual_analysis_output/
    • stackoverflow_quora_taxonomy.xlsx - contains the classified dataset of stackoverflow and quora and 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.