SEMar 20

Teaching Practically Relevant Research Problem Formulation in Software Engineering with Lean Research Inception

arXiv:2603.199670.7h-index: 2
AI Analysis

This addresses the gap between academia and industry in software engineering education, though it is incremental as it applies an existing method to a new educational context.

The study tackled the challenge of aligning software engineering research with industry needs by applying Lean Research Inception to help students formulate practice-relevant problems, resulting in reported benefits such as improved reasoning (60%) and clarity (61.7%) among students and high advisor recommendation rates (85.7%).

[Background] Well-formulated Software Engineering (SE) research problems are essential for bridging the gap between industry-academia. Lean Research Inception (LRI) aims to support this activity. [Goal] Apply LRI to support SE students in formulating practice-aligned research problems. [Method] We conducted a case study with 60 students and 7 faculty advisors of a Brazilian university. [Results] Students reported benefits in reasoning (60%), clarity and definition (61.7%), contextualization (60%), and communication (50%). Advisors also observed clearer and more structured problems (57.1%) with a high recommendation rate (85.7%). [Conclusion] LRI can be a promising approach to support practice-aligned research problem formulation in SE education.

Foundations

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