Research

Publications

Refereed Conferences.

  • Software-related Slack Chats with Disentangled Conversations

    Preetha Chatterjee, Kostadin Damevski, Nicholas A. Kraft, and Lori Pollock, The 17th International Conference on Mining Software Repositories (MSR), Data Showcase Track, Oct 2020. Seoul, South Korea
    Preprint     Dataset    DOI    Slides    Talk

  • Extracting Archival-Quality Information from Software-Related Chats

    Preetha Chatterjee, The 42nd International Conference on Software Engineering (ICSE), Doctoral Symposium Track, Oct 2020. Seoul, South Korea
    Preprint    DOI    Slides

  • Exploratory Study of Slack Q&A Chats as a Mining Source for Software Engineering Tools
    Preetha Chatterjee, Kostadin Damevski, Lori Pollock, Vinay Augustine, and Nicholas A. Kraft, The 16th International Conference on Mining Software Repositories (MSR), Research Track, May 2019. Montreal, Canada
    Preprint    DOI    Slides
  • Extracting Code Segments and Their Descriptions from Research Articles
    Preetha Chatterjee
    , Benjamin Gause, Hunter Hedinger, and Lori Pollock, The 14th International Conference on Mining Software Repositories (MSR), Research Track, May 2017. Buenos Aires, Argentina
    Preprint    DOI    Slides
  • What Information about Code Snippets Is Available in Different Software-Related Documents? An Exploratory Study
    Preetha Chatterjee, Manziba Akanda Nishi, Kostadin Damevski, Vinay Augustine, Lori Pollock, and Nicholas A. Kraft, The 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), Early Research Achievements Track, Feb 2017. Klagenfurt, Austria
    Preprint    DOI

Journal Publication.

  • Finding Help with Programming Errors: An Exploratory Study of Novice Software Engineers’ Focus in Stack Overflow Posts, Preetha Chatterjee, Minji Kong, Lori Pollock, Journal of Systems and Software (JSS), Research Paper, Jan 2020.
    Preprint    DOI

Other.

  • Exploring the Generality of a Java-based Loop Action Model for the Quorum Programming Language (Ph.D. Preliminary Project)
    This project explores an approach to automatically identify the higher level abstraction of the action being performed by a particular loop structure in Quorum based on their structure, data flow and linguistic characteristics.
    Report

Talks and Presentations

Poster Presentations

  • Extracting Code Segments and Their Descriptions from Research Articles
    University of Delaware, 2017
    Poster 
  • What Information about Code Snippets Is Available in Different Software-Related Documents? An Exploratory Study
    Computing Research Association Women (CRA-W) Grad Cohort 2017, Washington, DC 2017
    Poster