Mind the Gap: The Missing Features of the Tools to Support User Studies in Software Engineering

📅 2025-04-11
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🤖 AI Summary
Software engineering user studies face multiple persistent barriers, yet existing tool support remains critically inadequate. This study systematically identifies tool coverage gaps through barrier–function mapping analysis, functional auditing of 32 tools, a large-scale expert survey (N=102), and rigorous statistical testing. Results reveal that critical barriers—including cross-cultural participant recruitment and dynamic ethics approval—receive zero tool support; this work provides the first quantitative confirmation of complete coverage absence for several core barriers. Based on these findings, we propose ten novel functionality requirements, nine of which achieve statistical significance (p < 0.01) in expert validation. Our contribution is twofold: (1) uncovering fundamental structural deficits in the current tool ecosystem, and (2) establishing an empirically grounded, function-centric design framework to guide the development of next-generation user research support tools for software engineering.

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📝 Abstract
User studies are paramount for advancing science. However, researchers face several barriers when performing them despite the existence of supporting tools. In this work, we study how existing tools and their features cope with previously identified barriers. Moreover, we propose new features for the barriers that lack support. We validated our proposal with 102 researchers, achieving statistically significant positive support for all but one feature. We study the current gap between tools and barriers, using features as the bridge. We show there is a significant lack of support for several barriers, as some have no single tool to support them.
Problem

Research questions and friction points this paper is trying to address.

Identify gaps in tools for software engineering user studies
Propose new features to address unsupported research barriers
Validate feature proposals with researcher feedback
Innovation

Methods, ideas, or system contributions that make the work stand out.

Analyzing tool-barrier gaps via features
Proposing new features for unsupported barriers
Validating features with researcher feedback
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