activity
20152023
most citedCo-simulation: State of the art

81 citations · 102 across the 9 of their papers we have counts for

collaborators

11 papers

eess.SY2023★ 1 cited

Exact Worst-Case Execution-Time Analysis for Implicit Model Predictive Control

Daniel Arnström, David Broman, Daniel Axehill

We propose the first method that determines the exact worst-case execution time (WCET) for implicit linear model predictive control (MPC). Such WCET bounds are imperative when MPC…

cs.PL2022

Programming with Context-Sensitive Holes using Dependency-Aware Tuning

Linnea Stjerna, David Broman

Developing efficient and maintainable software systems is both hard and time consuming. In particular, non-functional performance requirements involve many design and implementatio…

cs.SE2021★ 1 cited

Automatic Diversity in the Software Supply Chain

Nicolas Harrand, Thomas Durieux, David Broman +1

Despite its obvious benefits, the increased adoption of package managers to automate the reuse of libraries has opened the door to a new class of hazards: supply chain attacks. By…

cs.SE2021

The Behavioral Diversity of Java JSON Libraries

Nicolas Harrand, Thomas Durieux, David Broman +1

JSON is an essential file and data format in do-mains that span scientific computing, web APIs or configuration management. Its popularity has motivated significant software develo…

cs.PL2020★ 7 cited

Correctness of Sequential Monte Carlo Inference for Probabilistic Programming Languages

Daniel Lundén, Johannes Borgström, David Broman

Probabilistic programming is an approach to reasoning under uncertainty by encoding inference problems as programs. In order to solve these inference problems, probabilistic progra…

cs.PL2018★ 1 cited

Automatic Alignment of Sequential Monte Carlo Inference in Higher-Order Probabilistic Programs

Daniel Lundén, David Broman, Fredrik Ronquist +1

Probabilistic programming is a programming paradigm for expressing flexible probabilistic models. Implementations of probabilistic programming languages employ a variety of inferen…