2022
DOI: 10.1007/s10664-021-10072-8
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Sampling in software engineering research: a critical review and guidelines

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Cited by 110 publications
(55 citation statements)
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“…The target population of our survey is software practitioners involved in RE-related activities, and therefore, we used a non-probabilistic purposive sampling technique in the study as our selection is based on speciic characteristics other than availability (as our target participants are software practitioners involved in RE-related activities) [8]. We used the Qualtrics platform to design the survey and after obtaining the required ethics approval (Reference Number: 26219), we advertised the survey as an anonymous survey link.…”
Section: Survey Sampling and Data Collectionmentioning
confidence: 99%
“…The target population of our survey is software practitioners involved in RE-related activities, and therefore, we used a non-probabilistic purposive sampling technique in the study as our selection is based on speciic characteristics other than availability (as our target participants are software practitioners involved in RE-related activities) [8]. We used the Qualtrics platform to design the survey and after obtaining the required ethics approval (Reference Number: 26219), we advertised the survey as an anonymous survey link.…”
Section: Survey Sampling and Data Collectionmentioning
confidence: 99%
“…Ad hoc reviews use purposive sampling [3]; that is, researchers purposefully select papers or studies that are useful, relevant, or support their arguments. Ad hoc reviews are often appropriate, for example, to support theory development, identify promising research topics, or prepare for a comprehensive exam.…”
Section: Review Types 21 Ad Hoc Reviewsmentioning
confidence: 99%
“…1 For example, Stol et al [31]'s critical review of the use of grounded theory in software engineering criticizes method slurring; that is, claiming to have used a research methodology that was not actually used to create the illusion of legitimacy. Similarly, Baltes and Ralph [3] used a critical review to describe and criticize how SE researchers overstate sample representativeness and often conflate random sampling with representative sampling. Indeed, critical reviews in software engineering often investigate methodological topics, including how ethnography is reported [33] or how qualitative research is synthesized [13].…”
Section: Critical Reviewsmentioning
confidence: 99%
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“…In ESE studies the results obtained must be, at some degree, replicable and generalizable. Replicability is important to validate the results of a scientific study and can be tackled by providing the datasets and scripts of the conducted research [Baltes and Ralph 2020].…”
Section: Related Workmentioning
confidence: 99%