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Context <p>Maintaining software projects over the long term requires controlling the accumulation of technical debt (TD). However, the time and cost associated with technical debt management (TDM) are often high, hindering practitioners from performing TDM tasks. Using tools for TDM has the potential to reduce the effort involved. Despite this, the adoption of such tools remains low, indicating a need for more efficient tool support.</p> Objective <p>This study aims to understand practitioners’ perspectives on tool support for TDM, specifically regarding the selection and use of these tools. Additionally, we identified potential requirements that could be implemented into existing or new TD tools.</p> Method <p>We surveyed practitioners and received 103 answers, from which 89 valid answers were analyzed using thematic synthesis and descriptive statistics.</p> Results <p>Practitioners’ decision-making processes regarding adopting tools are primarily driven by ten main concerns identified from practitioners’ responses (e.g., the load of information provided by tools). Additionally, we elicited 46 requirements and classified them into two main categories (<i>“Information to be provided”</i> and <i>“Tool Usage”</i>).</p> Conclusion <p>Practitioners aim to maintain control over tool execution and outputs. Our study then highlights the necessity of human-centered approaches for TDM automation, i.e., not only tools are essential, but the interaction between tools and practitioners is critical for a more efficient TDM.</p>

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Understanding practitioners’ reasoning and requirements for efficient tool support in technical debt management

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月4日

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  • João Paulo Biazotto,
  • Daniel Feitosa,
  • Paris Avgeriou,
  • Elisa Yumi Nakagawa

摘要

Context

Maintaining software projects over the long term requires controlling the accumulation of technical debt (TD). However, the time and cost associated with technical debt management (TDM) are often high, hindering practitioners from performing TDM tasks. Using tools for TDM has the potential to reduce the effort involved. Despite this, the adoption of such tools remains low, indicating a need for more efficient tool support.

Objective

This study aims to understand practitioners’ perspectives on tool support for TDM, specifically regarding the selection and use of these tools. Additionally, we identified potential requirements that could be implemented into existing or new TD tools.

Method

We surveyed practitioners and received 103 answers, from which 89 valid answers were analyzed using thematic synthesis and descriptive statistics.

Results

Practitioners’ decision-making processes regarding adopting tools are primarily driven by ten main concerns identified from practitioners’ responses (e.g., the load of information provided by tools). Additionally, we elicited 46 requirements and classified them into two main categories (“Information to be provided” and “Tool Usage”).

Conclusion

Practitioners aim to maintain control over tool execution and outputs. Our study then highlights the necessity of human-centered approaches for TDM automation, i.e., not only tools are essential, but the interaction between tools and practitioners is critical for a more efficient TDM.