Stream Runtime Verification (SRV) is a formal dynamic analysis technique that generalizes runtime verification algorithms from temporal logics like LTL to stream monitoring, allowing the computation of richer verdicts than Booleans (including quantitative and arbitrary data), while preserving explicit time offsets and future references. In this paper we study the problem of implementing an SRV engine that is easily extensible to arbitrary data types, and we propose a solution as a Haskell embedded domain specific language.

In spite of the theoretical clean separation in SRV between temporal dependencies and data computations, previous engines include ad-hoc implementations of a few data types, requiring complex changes in the tools to incorporate new data types.

We propose here an SRV language called hLola that borrows general Haskell types and embeds them transparently into an eDSL. This novel technique, which we call lift deep embedding, allows for example, the use of higher-order functions to implement static stream parameterization. We describe the Haskell implementation of hLola and illustrate simple extensions implemented using libraries, which would require long and error-prone additions in other ad-hoc SRV formalisms.