4,609 research outputs found
Indian affairs documents from Maine Executive Council: Journal
https://digitalmaine.com/arc_finding_aids/1002/thumbnail.jp
Indian affairs documents from Maine Executive Council: 1830-1839
https://digitalmaine.com/arc_finding_aids/1008/thumbnail.jp
Indian affairs documents from Maine Executive Council: Journal
https://digitalmaine.com/arc_finding_aids/1002/thumbnail.jp
Indian affairs documents from Maine Executive Council: Record of Letters Vol 1-4
https://digitalmaine.com/arc_finding_aids/1003/thumbnail.jp
Indian affairs documents from Maine Executive Council: Handwritten Notes
https://digitalmaine.com/arc_finding_aids/1001/thumbnail.jp
Worse Than Spam: Issues In Sampling Software Developers
Background: Reaching out to professional software developers is a crucial
part of empirical software engineering research. One important method to
investigate the state of practice is survey research. As drawing a random
sample of professional software developers for a survey is rarely possible,
researchers rely on various sampling strategies. Objective: In this paper, we
report on our experience with different sampling strategies we employed,
highlight ethical issues, and motivate the need to maintain a collection of key
demographics about software developers to ease the assessment of the external
validity of studies. Method: Our report is based on data from two studies we
conducted in the past. Results: Contacting developers over public media proved
to be the most effective and efficient sampling strategy. However, we not only
describe the perspective of researchers who are interested in reaching goals
like a large number of participants or a high response rate, but we also shed
light onto ethical implications of different sampling strategies. We present
one specific ethical guideline and point to debates in other research
communities to start a discussion in the software engineering research
community about which sampling strategies should be considered ethical.Comment: 6 pages, 2 figures, Proceedings of the 2016 ACM/IEEE International
Symposium on Empirical Software Engineering and Measurement (ESEM 2016), ACM,
201
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