Train While You Fight -- Technical Requirements for Advanced Distributed Learning Platforms

TL;DR

This paper identifies key technical requirements for advanced distributed learning platforms to support continuous training during operations, emphasizing interoperability, resilience, security, and scalability, with practical pattern mappings and a military case study.

Contribution

It systematically maps technical challenges of ADL platforms to proven software engineering patterns, providing a structured approach for enabling continuous operational training.

Findings

Seven technical challenges identified: interoperability, resilience, multilingual support, security, scalability, platform independence, modularity.

Pattern mappings demonstrate solutions for each challenge.

Case study from German armed forces illustrates practical application.

Abstract

"Train While You Fight" (TWYF) advocates for continuous learning that occurs during operations, not just before or after. This paper examines the technical requirements that advanced distributed learning (ADL) platforms must meet to support TWYF, and how existing software engineering patterns can fulfill these requirements. Using a Design Science Research approach, we (i) derive challenges from PfPC/NATO documentation and recent practice, (ii) define solution objectives, and (iii) conduct a systematic mapping from challenges to proven patterns. We identify seven technical challenges: interoperability, resilience, multilingual support, data security and privacy, scalability, platform independence, and modularity. We illustrate the patterns with a national use case from the German armed forces.