Runtime Fault Detection in Programmed Molecular Systems

Author:

Ellis Samuel J.1,Klinge Titus H.2,Lathrop James I.3,Lutz Jack H.3,Lutz Robyn R.3ORCID,Miner Andrew S.3,Potter Hugh D.3

Affiliation:

1. Molecular Sciences Software Institute, Blacksburg, VA

2. Carleton College, Des Moines, IA

3. Iowa State University, Ames, IA

Abstract

Watchdog timers are devices that are commonly used to monitor the health of safety-critical hardware and software systems. Their primary function is to raise an alarm if the monitored systems fail to emit periodic “heartbeats” that signal their well-being. In this article, we design and verify a molecular watchdog timer for monitoring the health of programmed molecular nanosystems. This raises new challenges, because our molecular watchdog timer and the system that it monitors both operate in the probabilistic environment of chemical kinetics, where many failures are certain to occur and it is especially hard to detect the absence of a signal. Our molecular watchdog timer is the result of an incremental design process that uses goal-oriented requirements engineering, simulation, stochastic analysis, and software verification tools. We demonstrate the molecular watchdog’s functionality by having it monitor a molecular oscillator. Both the molecular watchdog timer and the oscillator are implemented as chemical reaction networks, which are the current programming language of choice for many molecular programming applications.

Funder

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Framework for Testing Chemical Reaction Networks;Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering;2022-10-10

2. Requirements Engineering for Safety-Critical Molecular Programs;2022 IEEE 30th International Requirements Engineering Conference (RE);2022-08

3. Inference and test generation using program invariants in chemical reaction networks;Proceedings of the 44th International Conference on Software Engineering;2022-05-21

4. Quantitative Analysis of Software Fault-tolerance Design Modes Based on Probabilistic Model Checking;2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C);2021-12

5. Population-induced phase transitions and the verification of chemical reaction networks;NAT COMPUT;2021

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