Investigating the Online Recruitment and Selection Journey of Novice Software Engineers: Anti-patterns and Recommendations
Miguel Set\'ubal, Tayana Conte, Marcos Kalinowski, Allysson Allex, Ara\'ujo

TL;DR
This study explores the recruitment and selection challenges faced by novice software engineers, identifying anti-patterns and providing actionable recommendations to improve hiring practices for early-career professionals.
Contribution
It presents the first qualitative analysis of anti-patterns and recommendations specifically for entry-level SE recruitment, bridging HR and software engineering.
Findings
12 anti-patterns identified in R&S processes
31 actionable recommendations provided
Focus groups with 18 recruiters analyzed
Abstract
[Context] The growing software development market has increased the demand for qualified professionals in Software Engineering (SE). To this end, companies must enhance their Recruitment and Selection (R&S) processes to maintain high quality teams, including opening opportunities for beginners, such as trainees and interns. However, given the various judgments and sociotechnical factors involved, this complex process of R&S poses a challenge for recent graduates seeking to enter the market. [Objective] This paper aims to identify a set of anti-patterns and recommendations for early career SE professionals concerning R&S processes. [Method] Under an exploratory and qualitative methodological approach, we conducted six online Focus Groups with 18 recruiters with experience in R&S in the software industry. [Results] After completing our qualitative analysis, we identified 12 anti-patterns…
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Taxonomy
TopicsOnline Learning and Analytics · Software Engineering Techniques and Practices · Educational Technology and Assessment
