Trust by design -- in praise of modularization: a case study

2026-06-15

AI Summary

This work addresses the challenge of ensuring safety, reliability, and trustworthiness in collective adaptive systems operating in dynamic environments by proposing a modular design paradigm centered on intrinsic trustworthiness. The approach integrates a runtime model based on local causal event sequences, a temporal logic verification technique supporting modular architectures, and a compositional reasoning mechanism for global system properties grounded in component attributes. Through this tripartite framework, the study overcomes key limitations of conventional formal methods and demonstrates substantial improvements in verifiability and scalability in case studies, thereby establishing both a theoretical foundation and a practical pathway for engineering highly trustworthy collective adaptive systems.

Abstract

Ensuring that collective adaptive systems remain safe, reliable, and trustworthy requires measures that transcend so far established formal methods, and in particular established verification techniques. In this contribution, we suggest three such measures: (1) conceptual means: runs with locally confined cause and effect of events, (2) temporal logic like verification techniques that respect and exploit such runs, (3) composing system properties from properties of components. This contribution presents a case study which particularly focuses on the benefits of modularization for achieving trust by design. Further work will develop a full-fledged theory for the presented ideas.

Problem

• collective adaptive systems
• trust by design
• modularization
• formal methods
• verification techniques

Innovation

• modularization
• collective adaptive systems
• trust by design
• local causality
• compositional verification