CAPTURE: A Stakeholder-Centered Iterative MLOps Lifecycle

Applied Sciences, vol. 16, pp. 1264

Abstract

Current ML lifecycle frameworks provide limited support for continuous stakeholder alignment and infrastructure evolution, particularly in sensor-based AI systems. We present CAPTURE, a seven-phase framework (Consult, Articulate, Protocol, Terraform, Utilize, Reify, Evolve) that integrates stakeholder-centered requirements engineering with MLOps practices to address these gaps. The framework was synthesized from four established standards (ISO/IEC 22989, ISO 9241-210, CRISP-ML(Q), SE4ML) and validated through a longitudinal five-year case study of a psychomotor skill learning system alongside semi-structured interviews with ten domain experts. The evaluation demonstrates that CAPTURE supports governance of iterative development and strategic evolution through explicit decision gates. Expert assessments confirm the necessity of the intermediate stakeholder-alignment layer and substantiate the participatory modeling approach. By connecting technical MLOps with human-centered design, CAPTURE reduces the risk that sensor-based AI systems become ungoverned, non-compliant, or misaligned with user needs over time.

Authors 3

1. Michał Słupczyński corresponding Aachen Information Systems and Databases

   RWTH Aachen University

   Affiliation as printed

   Information Systems and Databases, RWTH Aachen University, Ahornstr. 55, 52074 Aachen, Germany

2. René Reiners Aachen Information Systems and Databases

   RWTH Aachen University · Fraunhofer Institute for Applied Information Technology

   Affiliation as printed

   Fraunhofer FIT, Schloss Birlinghoven, 53757 Sankt Augustin, Germany

   Information Systems and Databases, RWTH Aachen University, Ahornstr. 55, 52074 Aachen, Germany

3. Stefan Decker Aachen Information Systems and Databases

   RWTH Aachen University · Fraunhofer Institute for Applied Information Technology

   Affiliation as printed

   Fraunhofer FIT, Schloss Birlinghoven, 53757 Sankt Augustin, Germany

   Information Systems and Databases, RWTH Aachen University, Ahornstr. 55, 52074 Aachen, Germany