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Drishti Yadav

Publications and source records attributed to Drishti Yadav.

2 recordsLinked to original sources

On the Time and Frequency Domain Representations of Signals for CPS Specification

Specification languages are instrumental to the Verification \& Validation of Cyber-Physical Systems (CPSs). Most state-of-the-art specification languages use the time-domain representation of signals, which is not always suitable for describing signal shapes and dynamic behaviours. Instead, fields like control and robotics use the frequency-domain representation to characterise these behaviours. Time-frequency representations combine the capabilities of both domains. We investigate the use of time-frequency representations to specify CPS requirements. We analyse existing taxonomies of CPS requirements to identify which requirement classes can benefit from time-frequency representations. We derive the desiderata for a specification language that uses time-frequency representations and propose Signal-Spectrum Temporal Logic (S2TL), a language enabling assertions over frequency intervals and relations between frequency components. We operationalise the S2TL semantics for monitoring CPS traces, and implement a monitor. We define specification templates for the identified requirement classes and compare time- and time-frequency-domain formulations in terms of applicability, expression fidelity, and noise tolerance of monitoring. We observe that, while time-domain specifications are applicable only to input traces containing step-like changes or using constant interpolation, time-frequency specifications extend their evaluation to traces generated through linear interpolation, and improve tolerance to offset and high-frequency noise, while achieving comparable fidelity to the intended system properties.

cs.SE↗

Property-Based Mutation Testing

Mutation testing is an established software quality assurance technique for the assessment of test suites. While it is well-suited to estimate the general fault-revealing capability of a test suite, it is not practical and informative when the software under test must be validated against specific requirements. This is often the case for embedded software, where the software is typically validated against rigorously-specified safety properties. In such a scenario (i) a mutant is relevant only if it can impact the satisfaction of the tested properties, and (ii) a mutant is meaningfully-killed with respect to a property only if it causes the violation of that property. To address these limitations of mutation testing, we introduce property-based mutation testing, a method for assessing the capability of a test suite to exercise the software with respect to a given property. We evaluate our property-based mutation testing framework on Simulink models of safety-critical Cyber-Physical Systems (CPS) from the automotive and avionic domains and demonstrate how property-based mutation testing is more informative than regular mutation testing. These results open new perspectives in both mutation testing and test case generation of CPS.

cs.SE↗