Journal article
Wei Wang, Dulaji Hidellaarachchi, John Grundy, HouriehKhalajzadeh, Humphrey O. Obie, Anuradha Madugalla
Semantic Scholar
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APA
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Wang, W., Hidellaarachchi, D., Grundy, J., HouriehKhalajzadeh, Obie, H. O., & Madugalla, A. End-Users vs Software Practitioners: Recruitment Challenges and Strategies in Software Engineering Research.
Chicago/Turabian
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Wang, Wei, Dulaji Hidellaarachchi, John Grundy, HouriehKhalajzadeh, Humphrey O. Obie, and Anuradha Madugalla. “End-Users vs Software Practitioners: Recruitment Challenges and Strategies in Software Engineering Research” (n.d.).
MLA
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Wang, Wei, et al. End-Users vs Software Practitioners: Recruitment Challenges and Strategies in Software Engineering Research.
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@article{wei-a,
title = {End-Users vs Software Practitioners: Recruitment Challenges and Strategies in Software Engineering Research},
author = {Wang, Wei and Hidellaarachchi, Dulaji and Grundy, John and HouriehKhalajzadeh and Obie, Humphrey O. and Madugalla, Anuradha}
}
Abstract
—This paper shares insights from our first-hand experience with key recruitment challenges encountered in software engineering research, focusing on two distinct participant groups: end-users and software practitioners. By conducting a reflective analysis, we emphasise the particular challenges we faced when engaging these groups during empirical study recruitment phases. Significant challenges we faced in recruiting end-users include ensuring authenticity , maintaining engagement , achieving demographic diversity , and addressing privacy concerns . Conversely, we faced different challenges when recruiting software practitioners, including sourcing the right expertise , utilising online recruiting platforms , navigating time constraints , aligning incentives , obtaining a representative sample , and coordinating with remote and distributed teams . By detailing the strategies we employed to address these challenges, this paper contributes practical knowledge to enhance the efficacy and inclusiveness of research practices, ultimately fostering more robust software engineering research outcomes.
