Markus Borg

Registered user since Wed 24 Jan 2018

Name: Markus Borg

Bio: Dr. Markus Borg is a senior researcher with the Mobility and Systems department at RISE Research Institutes of Sweden and an adjunct senior lecturer at Lund University. He is also a board member of the non-profit trade organization Swedsoft.

The goal of his research is to support the successful engineering of software-intensive systems. His main contributions deal with tapping into the collected wisdom of historical project data to facilitate machine learning for actionable decision support in defect management, for example, bug assignment and change impact analysis. The most useful approaches are currently implemented in tools used within Ericsson.

His current research interests are related to software engineering for machine learning, especially for ADAS development mandated by automotive safety standards. Ongoing studies involve requirements engineering, MLOps pipelines, and software testing in the simulator ESI Pro-SiVIC.

Country: Sweden

Affiliation: RISE Research Institutes of Sweden

Personal website: http://mrksbrg.com

Twitter: https://twitter.com/mrksbrg

GitHub: https://github.com/mrksbrg

Research interests: empirical software engineering, machine learning, safety engineering, software testing, requirements engineering

Contributions

SEthics 2021 Author of Exploring the Assessment List for Trustworthy AI in the Context of Advanced Driver-Assistance Systems within the SEthics 2021-track
EASE 2021
DeepTest 2021 Committee Member in Program Committee within the deeptest2021-track
NEXTA 2021 Committee Member in Program Committee within the NEXTA2021-track
Author of Flaky Mutants; Another Concern for MutationTesting within the NEXTA2021-track
DevOps4CPS-Testing 2021 Author of Test Automation with Grad-CAM Heatmaps - A Future Standard Block in MLOps for Vision AI? within the DevOps4CPS-Testing 2021-track
RE2021 Committee Member in Track Co-Chairs within the Industrial Innovation Papers-track
Industrial Innovation Co-Chair in Organizing Committee
NEXTA 2020 Programme Committee in Program Committee within the NEXTA 2020-track
ICST 2021 Author of Digital Twins Are Not Monozygotic - Comparing ADAS Testing in Two Industry-Grade Automotive Simulators. within the Industry Track-track
ICST 2020 Author of Poster: Performance Testing Driven by Reinforcement Learning within the Posters Track-track
ICSE 2021 Committee Member in Program Committee within the SEIP - Software Engineering in Practice-track
ICSE 2020 Programme Committee in Program Committee within the Technical Papers-track
Author of Do Preparatory Programming Lab Sessions Contribute to Even Work Distribution in Student Teams? within the ICSE 2020 Posters-track
SEAMS 2018 Author of Adaptive Runtime Response Time Control in PLC-based Real-Time Systems using Reinforcement Learning within the SEAMS 2018-track
ESEC/FSE 2018 Author of Goal-Oriented Mutation Testing with Focal Methods within the A-TEST-track
* ICSE 2018 * Panelist of Software Engineering in 2030 within the IF - Industry Forum-track
Author of [Case study] Digitalization of Swedish Government Agencies - A Perspective Through the Lens of a Software Development Census within the SEIS - Software Engineering in Society -track