🤖 AI Summary
This study addresses critical challenges in requirements communication and digital asset verification between clients and suppliers in infrastructure projects. Drawing on two domain-specific case studies from road and railway engineering, we conducted semi-structured interviews with ten subject-matter experts and applied thematic coding analysis. For the first time, we systematically identified 13 recurrent challenges, analyzing their root causes, operational impacts, and striking parallels with well-documented software engineering problems. Our contribution lies in advancing cross-domain solution transfer: we synthesize reusable collaboration mechanisms and verification pathways grounded in empirical evidence. These findings provide both theoretical grounding and practical foundations for developing standardized, trustworthy frameworks for requirements coordination and digital asset validation in infrastructure delivery. (128 words)
📝 Abstract
Background: Poor communication of requirements between clients and suppliers contributes to project overruns,in both software and infrastructure projects. Existing literature offers limited insights into the communication challenges at this interface. Aim: Our research aim to explore the processes and associated challenges with requirements activities that include client-supplier interaction and communication. Method: we study requirements validation, communication, and digital asset verification processes through two case studies in the road and railway sectors, involving interviews with ten experts across three companies. Results: We identify 13 challenges, along with their causes and consequences, and suggest solution areas from existing literature. Conclusion: Interestingly, the challenges in infrastructure projects mirror those found in software engineering, highlighting a need for further research to validate potential solutions.