{
  "annotation_id": "b92f411d-12fe-4153-8ab3-29da06524b63",
  "date_created": "2026-02-17T05:53:08.451000Z",
  "date_modified": "2026-02-17T05:53:08.451000Z",
  "file_hash": "777a3276bb4f9554af778d4d642493d4e299563007aa310da69a3ce964d82f8d",
  "private": false,
  "record": {
    "abstract": "Managing technical quality in agile Research and Development (R\u0026D) 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\u0026D 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\u0026D projects within a regional innovation ecosystem.",
    "arxiv_id": "2601.06689",
    "authors": [
      "Mateus Costa Lucena"
    ],
    "categories": [
      "cs.SE"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "An Exploratory Pilot Survey on Technical Quality Control Practices in Agile R\u0026D Projects",
    "url": "https://arxiv.org/abs/2601.06689",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "eb9fe187-9517-49c7-a60e-7e2ae5e61518",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}