output
20122026
most citedCombining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving

313 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2021 · cs.SEShow all

4 papers · 2 filters

cs.SE2021★ 4 cited

Bayesian propensity score matching in automotive embedded software engineering

Yuchu Liu, David Issa Mattos, Jan Bosch +2

Randomised field experiments, such as A/B testing, have long been the gold standard for evaluating the value that new software brings to customers. However, running randomised fiel…

cs.SE2021

An architecture for enabling A/B experiments in automotive embedded software

Yuchu Liu, Jan Bosch, Helena Holmström Olsson +1

A/B experimentation is a known technique for data-driven product development and has demonstrated its value in web-facing businesses. With the digitalisation of the automotive indu…

cs.SE2021★ 3 cited

Size matters? Or not: A/B testing with limited sample in automotive embedded software

Yuchu Liu, David Issa Mattos, Jan Bosch +2

A/B testing is gaining attention in the automotive sector as a promising tool to measure causal effects from software changes. Different from the web-facing businesses, where A/B t…

cs.SE2021★ 8 cited

Managing Traceability Information Models: Not such a simple task after all?

Salome Maro, Jan-Philipp Steghöfer, Eric Knauss +7

Practitioners are poorly supported by the scientific literature when managing traceability information models (TIMs), which capture the structure and semantics of trace links. In p…