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.

翻译：在敏捷研究与开发（R&D）软件项目中管理技术质量是一项持续存在的挑战，尤其是在技术不确定性高、实验压力大的情境下。这项探索性试点调查旨在探究敏捷研发软件团队如何在基于Scrum的环境中报告其与质量控制相关的实践和度量指标的使用情况。本研究采用结构化问卷，对位于巴西马瑙斯的科学与技术机构（STIs）的专业人士进行调查，旨在获取其报告的实践、质量感知以及反复出现的挑战。定量数据辅以定性回答，以支持背景解读。结果表明，尽管自动化测试、代码审查和持续集成等实践得到广泛认可，但其报告的应用在不同迭代周期中往往不一致。研究还观察到在技术质量指标监控以及从业务角度评估技术债务的报告机制方面存在不足。本研究并非旨在推广结论，而是提供一个探索性基线，描述在区域创新生态系统内敏捷研发项目中技术质量的管理现状。