Identifying practitioners' arguments and evidence in blogs: Insights from a pilot study

Ashley Williams, Austen Rainer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Background: researchers have a limited understanding of how practitioners conceive of and use evidence. Objective: to investigate how to automatically identify practitioner arguments and evidence in a corpus of practitioner documents, and identify insights for further work. Method: we develop, apply and evaluate a preliminary process to identify practitioner arguments and factual stories, based on the presence of specific words, using a sample of 1,022 blog posts from a software practitioner's blog. Results: we identify unanswered questions relating to the process: selecting and scraping data, cleansing data, parsing components of arguments and stories, selecting the 'right' cases, and validating and interpreting the results. Conclusion: our work provides a foundation for more substantive research on identifying practitioners' evidence and arguments that, in turn, can support research in other areas e.g. evidence informed software practice.

Original languageEnglish
Title of host publicationProceedings - 23rd Asia-Pacific Software Engineering Conference, APSEC 2016
EditorsGail C. Murphy, Steve Reeves, Alex Potanin, Jens Dietrich
PublisherIEEE Computer Society
Pages345-348
Number of pages4
ISBN (Electronic)9781509055753
DOIs
Publication statusPublished - 30 Mar 2017
Externally publishedYes
Event23rd Asia-Pacific Software Engineering Conference, APSEC 2016 - Hamilton, New Zealand
Duration: 06 Dec 201609 Dec 2016

Conference

Conference23rd Asia-Pacific Software Engineering Conference, APSEC 2016
CountryNew Zealand
CityHamilton
Period06/12/201609/12/2016

Keywords

  • Argument
  • Data mining
  • Evidence
  • Software practice

ASJC Scopus subject areas

  • Software

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  • Cite this

    Williams, A., & Rainer, A. (2017). Identifying practitioners' arguments and evidence in blogs: Insights from a pilot study. In G. C. Murphy, S. Reeves, A. Potanin, & J. Dietrich (Eds.), Proceedings - 23rd Asia-Pacific Software Engineering Conference, APSEC 2016 (pp. 345-348). [7890608] IEEE Computer Society. https://doi.org/10.1109/APSEC.2016.056