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Principles of survey research: part 5: populations and samples
Abstract
This article is the fifth installment of our series of articles on survey research. In it, we discuss what we mean by a population and a sample and the implications of each for survey research. We provide examples of correct and incorrect sampling techniques used in software engineering surveys.
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Citations
Cited by
The ABC of Software Engineering Research
Stol, K.-J., & Fitzgerald, B. (2018) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3241743 · Cited by 245
Subjective evaluation of software evolvability using code smells: An empirical study
Mäntylä, M. V., & Lassenius, C. (2007) · Empirical Software Engineering · doi:10.1007/s10664-006-9002-8 · Cited by 171
Toward successful DevSecOps in software development organizations: A decision-making framework
Akbar, M. A., Smolander, K., Mahmood, S., & Alsanad, A. (2022) · Information and Software Technology · doi:10.1016/j.infsof.2022.106894 · Cited by 128
How do professionals perceive legacy systems and software modernization?
Khadka, R., Batlajery, B. V., Saeidi, A. M., Jansen, S., & Hage, J. (2014) · Proceedings of the 36th International Conference on Software Engineering · doi:10.1145/2568225.2568318 · Cited by 111
A Summary of Survey Methodology Best Practices for Security and Privacy Researchers
Redmiles, E. M., Acar, Y., Fahl, S., & Mazurek, M. L. (2017) · Digital Repository at the University of Maryland · doi:10.13016/m22k2w · Cited by 50
Metadata
- Authors
- Kitchenham, B., & Pfleeger, S. L.
- Venue
- ACM SIGSOFT Software Engineering Notes
- Published
- 2002-09
- Volume
- 27
- Issue
- 5
- Pages
- 17-20
- ISSN
- 0163-5948 (ISSN-L)
- OpenAlex
- W2167271913
- Cited by
- 329
- References
- 0
- FWCI
- 11.72
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kitchenham, B., & Pfleeger, S. L. (2002). Principles of survey research: part 5: populations and samples. ACM SIGSOFT Software Engineering Notes. https://doi.org/10.1145/571681.571686
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.