Markus Borg

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Senior Researcher with the Software and Systems Laboratory. My main research contributions concern using information retrieval techniques to semi-automatically create traces between software artifacts, and recommendation systems for large-scale issue management based on machine learning. Other research interests include mining software repositories, findability in large projects, and software visualization. I have published 35+ scientific papers on software engineering, and a book chapter on recommendation systems.

software engineering software testing machine learning research safety-critical development mining software repositories bug reports automotive requirements engineering software traceability quality assurance visualization data mining public sector recommendation systems artificial intelligence agile software development computational notebooks mlops action research generative dialog model conversational agent ai quality computer vision statistics policy survey standardization sotif safety deep learning quality decision making software architecture unity regression testing visual analytics asic verification asic design software sports science change impact analysis tool support automation

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Markus Borg

Präsentationen

Recommendation Systems for Issue Management

Findability through Traceability - A Realistic Application of Candidate Trace Links?

Analyzing networks of issue reports

Enabling Traceability Reuse for Impact Analyses - Toward a Recommendation System in a Safety Context

Revisiting the Challenges in Aligning RE and V&V: Experiences from the Public Sector

Automation in the Bug Flow - Machine Learning for Triaging and Tracing

Comparing Cousins – A Harmonized Analysis of Racket Sport Set Scores using Racketlon World Tour Results

From Bugs to Decision Support - Selected Research Highlights

Testing Quality Requirements of a System-of-Systems in the Public Sector - Challenges and Potential Remedies

Enabling Visual Analytics with Unity - Exploring Regression Test Results in ASIC Verification

Component Source Origin Decisions in Practice - A Survey of Decision Making in Industry

Supporting Change Impact Analysis Using a Recommendation System - An Industrial Case Study in a Safety-Critical Context

Test Automation Research... Is That Really Needed in 2018?

Explainability First! Cousteauing the Depths of Neural Networks

SZZ Unleashed: An Open Implementation of the SZZ Algorithm

Trained, Not Coded - Still Safe?

Illuminating a Blind Spot in Digitalization - Software Development in Sweden’s Private and Public Sector

Digital Twins Are Not Monozygotic - Cross-Replicating ADAS Testing in Two Industry-Grade Automotive Simulators

Test Automation with Grad-CAM Heatmaps - A Future Pipe Segment in MLOps for Vision AI?

Quality Assurance Of Generative Dialog Models in an evolving Conversational Agent used for Swedish Language Practice

Agility in Software 2.0 - Notebook Interfaces and MLOps with Buttresses and Rebars

Gefällt mir

Ch12 safety engineering

Systematic Literature Review

Lean Canvas Process and Examples

Put Your Hands in the Mud: What Technique, Why, and How

Bug Prediction and Analysis

Characterizing and predicting which bugs get fixed

Not my bug! Reasons for software bug report reassignments

Model Driven Requirements Engineering: Mapping the Field and Beyond

Test Missions as Requirements