🤖 AI Summary
This study addresses the challenges of implementing technical quality control in agile R&D projects under conditions of high technological uncertainty and experimental pressure. Through a mixed-methods approach combining survey data, quantitative statistical analysis, and qualitative content analysis, it examines the adoption, perceived effectiveness, and key obstacles related to technical quality practices—such as automated testing, code reviews, and continuous integration—among Scrum teams in technology organizations based in Manaus, Brazil. As the first exploratory investigation focused on this regional innovation ecosystem, the research establishes a baseline for understanding technical quality management in agile R&D contexts. It reveals critical issues including inconsistent practice implementation, insufficient monitoring of technical quality metrics, and a lack of effective mechanisms to evaluate technical debt from a business-value perspective.
📝 Abstract
Managing technical quality in agile Research and Development (R&D) software projects represents a persistent challenge, particularly in contexts characterized by high technical uncertainty and experimental pressure. This exploratory pilot survey explores how agile R&D software teams report the use of practices and metrics related to technical quality control within Scrum-based environments. The study employed a structured questionnaire administered to professionals from Science and Technology Institutions (STIs) located in Manaus, Brazil, aiming to capture reported practices, perceptions of quality, and recurrent challenges. Quantitative data were complemented by qualitative responses to support contextual interpretation. The results indicate that although practices such as automated testing, code review, and continuous integration are widely acknowledged, their reported application is often inconsistent across iterations. Gaps were also observed in the monitoring of technical quality metrics and in the reporting of mechanisms for assessing technical debt from a business perspective. Rather than aiming for generalization, this study offers an exploratory baseline that describes how technical quality is managed in agile R&D projects within a regional innovation ecosystem.