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  1. Proceedings of the 2nd International Workshop on Conducting Empirical Studies in Industry (CESI 2014)
  2. Exploring web advertising to attract industry professionals for software engineering surveys
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A career spent wading through industry's empirical ooze (invited talk)
Is the glass half empty or half full? conducting empirical studies in industry (invited talk)
Exploring web advertising to attract industry professionals for software engineering surveys
Lessons learned on applying design science for bridging the collaboration gap between industry and academia in empirical software engineering
Practical experiences in designing and conducting empirical studies in industry-academia collaboration
Empirical evaluation of software testing techniques in an open source fashion
Topic selection in industry experiments
On the relationship between quality assurance and productivity in software companies
An exploratory study on improving automotive function specifications

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Exploring web advertising to attract industry professionals for software engineering surveys

Content Provider ACM Digital Library
Author Tofan, Dan Galster, Matthias
Abstract The validity of questionnaire-based surveys in empirical software engineering studies depends on the number of survey participants and the quality of the data collected from participants. Attracting respondents is a continuous challenge and many studies rely on participants from the personal network of researchers. In this short paper we present several insights from using web advertising to recruit participants for one of our surveys on software architecture decision making. More specifically, in this work we show how we used web advertising in addition to contacting our personal networks, postings on mailing lists, blogs, etc. to reach a larger and broader base of our target population. We discuss the lessons we learned through this experience, and potentials and trade-offs of using web advertising in software engineering surveys. .
Starting Page 5
Ending Page 8
Page Count 4
File Format PDF
ISBN 9781450328432
DOI 10.1145/2593690.2593695
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-06-02
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Survey Empirical software engineering Web advertising
Content Type Text
Resource Type Article
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