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

313 citations

Showing cs.SEShow all

15 papers · 1 filter

cs.SE2026★ 1 cited

Understanding Conversational Patterns in Multi-agent Programming: A Case Study on Fibonacci Game Development

Srijita Basu, Viktor Kjellberg, Simin Sun +5

Large Language Models (LLMs) are increasingly applied to software engineering (SE), yet their potential for autonomous, role-oriented collaboration remains largely underexplored. U…

cs.SE2025

Polymer: Development Workflows as Software

Dhasarathy Parthasarathy, Yinan Yu, Earl T. Barr

Software development builds digital tools to automate processes, yet its initial phases, up to deployment, remain largely manual. There are two reasons: Development tasks are often…

cs.SE2024★ 19 cited

Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models

Ali Nouri, Beatriz Cabrero-Daniel, Fredrik Törner +2

DevOps is a necessity in many industries, including the development of Autonomous Vehicles. In those settings, there are iterative activities that reduce the speed of SafetyOps cyc…

cs.SE2024★ 3 cited

On STPA for Distributed Development of Safe Autonomous Driving: An Interview Study

Ali Nouri, Christian Berger, Fredrik Törner

Safety analysis is used to identify hazards and build knowledge during the design phase of safety-relevant functions. This is especially true for complex AI-enabled and software in…

cs.SE2024★ 9 cited

An Industrial Experience Report about Challenges from Continuous Monitoring, Improvement, and Deployment for Autonomous Driving Features

Ali Nouri, Christian Berger, Fredrik Torner

Using continuous development, deployment, and monitoring (CDDM) to understand and improve applications in a customer's context is widely used for non-safety applications such as sm…

cs.SE2022★ 6 cited

Measuring design compliance using neural language models -- an automotive case study

Dhasarathy Parthasarathy, Cecilia Ekelin, Anjali Karri +2

As the modern vehicle becomes more software-defined, it is beginning to take significant effort to avoid serious regression in software design. This is because automotive software…

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…

cs.SE2020★ 5 cited

Understanding Work Practices of Autonomous Agile Teams: A Social-psychological Review

Lucas Gren

The purpose of this paper is to suggest additional aspects of social psychology that could help when making sense of autonomous agile teams. To make use of well-tested theories in…

cs.SE2020

What an Agile Leader Does: The Group Dynamics Perspective

Lucas Gren, Magdalena Lindman

When large industrial organizations change to(or start with) an agile approach to operations, managers and some employees are supposed to be "agile leaders" often without being giv…

cs.SE2020

Security Assurance Cases for Road Vehicles: an Industry Perspective

Mazen Mohamad, Alexander Åström, Örjan Askerdal +2

Assurance cases are structured arguments that are commonly used to reason about the safety of a product or service. Currently, there is an ongoing push towards using assurance case…

cs.SE2019★ 24 cited

Agility is responsiveness to change: An essential definition

Lucas Gren, Per Lenberg

There is some ambiguity of what agile means in both research and practice. Authors have suggested a diversity of different definitions, through which it is difficult to interpret w…

cs.SE2019

A System Modeling Approach to Enhance Functional and Software Development

Saurabh Tiwari, Emina Smajlovic, Amina Krekic +1

This paper presents a SysML-based approach to enhance functional and software development process within an industrial context. The recent changes in technology such as electromobi…