Generation of Signals Under Temporal Constraints for CPS Testing

Abstract : This work is concerned with validation of cyber-physical systems (CPS) via sampling of input signal spaces. Such a space is infinite and in general too difficult to treat symbolically, meaning that the only reasonable option is to sample a finite number of input signals and simulate the corresponding system behaviours. It is important to choose a sample so that it best "covers" the whole input signal space. We use timed automata to model temporal constraints, in order to avoid spurious bugs coming from unrealistic inputs and this can also reduce the input space to explore. We propose a method for low-discrepancy generation of signals under temporal constraints recognised by timed au-tomata. The discrepancy notion reflects how uniform the input signal space is sampled and additionally allows deriving validation and performance guarantees. To evaluate testing quality, we also show a measure of uniformity of an arbitrary set of input signals. We describe a prototype tool chain and demonstrate the proposed methods on a Kinetic Battery Model (KiBaM) and a Σ∆ modulator.
Complete list of metadatas

Cited literature [29 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02157644
Contributor : Benoît Barbot <>
Submitted on : Monday, June 17, 2019 - 11:11:28 AM
Last modification on : Thursday, June 20, 2019 - 1:03:58 AM

File

BBD19.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02157644, version 1

Collections

Citation

Benoît Barbot, Nicolas Basset, Thao Dang. Generation of Signals Under Temporal Constraints for CPS Testing. NASA Formal Methods - 11th International Symposium, NFM 2019, Houston, TX, USA, May 7-9, 2019, Proceedings, pp.54-70, 2019. ⟨hal-02157644⟩

Share

Metrics

Record views

11

Files downloads

16