Foto von Nicola Kolb

Nicola Kolb, M.Sc.

Technische Universität München

Informatik 4 - Lehrstuhl für Software & Systems Engineering (Prof. Pretschner)


Boltzmannstr. 3
85748 Garching b. München

  • Tel.: +49 (89) 289 - 17334
  • nicola.kolb(at)

About me

Since March 2021, I am a research associate at the Chair of Software and Systems Engineering (Prof. Dr. Pretschner). My main research focus lies on test ending criteria and test case generation for testing automated and autonomous driving systems. In this context, I study the scenario-based testing approach.

Prior to joining the chair, I worked as an IT specialist at the BMW Group in the vehicle data collection department for three years after completing the Speed-Up bachelor program at the BMW Group during my bachelor studies in Automotive Computer Science. I hold a masters degree in Robotics, Cognition, Intelligence from TU Munich. 

Student supervision

NEW! We are looking for a Hiwi student to support the Lecture of Advanced Topics of Software Testing in SS23. Please contact me if you are interested.


Get in touch if you are interested in guided research or in supervision for your master's or bachelor's thesis. Apart from that you can find open topics from our chair on our thesis openings page.

Title Type                                          
Improvements on Search-based Test Case Generation for Autonomous Driving Systems Master Thesis/ Guided Research
Metamorphic Testing of Radar-Based Deep Learning Object Detectors  Master Thesis/ Guided Research (with S. Speth)
Testing for Traffic Rule Violations of Autonomous Vehicle Master Thesis/ Guided Research

Maneuver Generation using Search-based Techiques

Guided Research/ Master Thesis


Title Type                                          
Benchmark for Autonomous Vehicle Testing  Guided Research
Search Space Creation for Testing Autonomous Vehicles Master Thesis
Applying Safety Testing to Collaborative Autonomous Drohnes (UAVs) Bachelor Thesis (with D.Marson)


Title Type
Data-driven derivation of logical scenarios in the intersection context Master Thesis

Scenario description generation framework

Scientific supervision of students of the Vanderbilt University (with CJ)
Automatic derivation of traffic scenario instance descriptions for testing automated and autonomous driving systems in the intersection context (with CJ) Bachelor Thesis
Automatic derivation of traffic scenario instance descriptions for testing automated and autonomous driving systems in the highway context (with CJ) Bachelor Thesis
Tamper-proof Inverse Transparency Logs with Intel SGX (with VZ) Bachelor Thesis



Semester Course
Summer 2023 Advanced Topics of Software Testing
Winter 2022/2023 Introduction to Model-based System Engineering – Develop Your Own Car  (in cooperation with fortiss)
Summer 2022 Advanced Topics of Software Testing (guest contribution)
Winter 2021/2022 From Sub-Systems to Systems of Systems – Developing Autonomous Driving Functions (in cooperation with fortiss)
Summer 2021 Advanced Topics of Software Testing



Kolb, Nicola, Claudius Jordan, Florian Huber, and Alexander Pretschner. "Automatic Evaluation of Automatically Derived Semantic Scenario Instance Descriptions" 2022 IEEE International Intelligent Transportation Systems Conference (ITSC). IEEE, 2022. 

Kolb, Nicola, Hauer, Florian, Golagha, Mojdeh, Pretschner, Alexander. "Data-Driven Assessment of Parameterized Scenarios for Autonomous Vehicles". In: Lecture Notes in Computer Science. Springer International Publishing, 2022

Kolb, Nicola, Florian Hauer, and Alexander Pretschner. "Fitness Function Templates for Testing Automated and Autonomous Driving Systems in Intersection Scenarios." 2021 IEEE International Intelligent Transportation Systems Conference (ITSC). IEEE, 2021.


Title Event Date
Assessing Scenario Instance Descriptions ITSC 2022
Suchbasierte Testfallgenerierung und Wiederverwendbarkeit im Kreuzungskontext AutoTest 2022 20.10.2022
Assessing Parameterized Scenarios SAFECOMP 2022 09.09.2022
Vollständigkeit von szenario-basierten Tests für autonome Fahrsysteme: Eine multidimensionale Herausforderung SAFE.TECH 2022 TÜV SÜD 10.05.2022
Fitness Functions in Intersection Scenarios ITSC 2021