Abstract
Researchers perform empirical studies in industry to gain qualitative insights into a real-world problem. However, common critics are the diversity and selection process of participants. To address these issues, we propose to improve the integration of question-answering systems into empirical study. In this paper, we i) describe approaches to conduct studies in such systems, ii) exemplify corresponding challenges, and iii) discuss their potential. We illustrate the approaches on existing works in which they were partly implemented to show that they can succeed.
Original language | English |
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Title of host publication | International Workshop on Conducting Empirical Studies in Industry (CESI) |
Publisher | IEEE Press |
Pages | 23-26 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2017 |
Bibliographical note
DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.Keywords
- Question-Answering Systems
- Empirical Research
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