Table of Contents

Hamdy Michael Ayas

ayas@chalmers.se

Research Interests: Cloud computing; software architecture migrations/transitions (especially to cloud-based architectures such as microservices and FaaS); empirical research on DevOps (methodologies, release engineering); scaling and integrating ML; mining software repositories

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

(co-supervised with AstraZeneca AB) Monitoring, tracking and visualization of microservices for deciding on service granularity (https://www.linkedin.com/jobs/view/3322050462/)

Cristina Martinez Montes

montesc@chalmers.se

Research Interests: human factors in software engineering, wellbeing, resilience, requirements engineering and wellbeing, requirements engineering and emotions, equality, inclusion and gender balance in IT.

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

Assessing the Role of Mindfulness Practices in Promoting Resilience among Software Engineers.
Investigating the Influence of Neuroplasticity Practices on Enhancing Wellbeing in Software Engineering teams.
Analysing the role of emotions in requirements engineering processes.
Investigating RE and affective computing, including emotions, affects, psychometrics, and cognition.
Investigating the Factors Affecting Gender Representation in Technical Roles in the IT Industry.

Christian Berger

christian.berger@gu.se

Research Interests: Architecting complex and distributed realtime software systems, micro-services for embedded systems and cyber-physical systems, continuous integration/deployment/experimentation, autonomous driving, simulations, scalability for real-time data streams.

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

Using space-filling curves such as Morton- or Hilbert-based curves for event identification in automotive datasets.

Screenshot 2023-08-28 183906.png

Beatriz Cabrero-Daniel

beatriz.cabrero-daniel@gu.se

Research Interests: Artificial Intelligence, Autonomous Vehicles and high-risk systems, Digital Twins and simulations, human-computer interaction and TRUST!!

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

Pick one topic: Artificial Intelligence, Digital Twins and simulations for V&V, RE for Autonomous Vehicles (industry partners), multimodal traffic, or any area in the ICSE call for papers.
Then pick one point of view: human agency and automation bias, diversity and non-discrimination, transparency and accountability, societal and environmental well-being, or any other trust-related requirement (non safety/security).
Somewhat concrete ideas:
- Open-source Verification and Validation tools for Autonomous Driving features (possibly Digital Twins)
- Explainability for and trust in complex ML-based decisions
- Distributed vs centralized decision making for autonomous vehicle fleets (related to policy making?)
- Public transport in sustainable smart cities: autonomous and electrical vehicle fleet management
- Requirements for human-readable (self-explanatory) auto generated status reports or documentation

Ricardo D. Caldas

ricardo.caldas@chalmers.se

Research Interests: Robotics, self-adaptive systems, software testing, control theory.

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

Topic: Study software testing for robotic applications; (Co-supervised with Francisco Gomes)
- Research Questions: How are robotic systems being tested? Are there tools or frameworks used to test robotics? What factors should be considered to account for testability as a property of robotics software?
- Related Work: paper 1, paper 2, paper 3
Topic: Design a multi-robot mission replanning with conflicting quality attributes; (Co-supervised with Rebekka Wohlrab)
- Research Platform: Search and Rescue mission specification

Picture of Prof. R. Feldt

Robert Feldt

robert.feldt@chalmers.se

Research Interests: software testing and quality, automated software engineering, human factors & psychology, software teams, machine learning & artificial intelligence, optimisation & search, information theory & statistics & visualisation

More examples and topics can be found on my MT page

Suggestions for Thesis Topics/Open Thesis Topics:

Optimizing the Diversity and Diameter of Test Sets
Automated Boundary Testing
Collective Intelligence of Software Teams

Examples of Recently Supervised Theses:

David Gustafsson and Erik Pihl, "Strategy for Cross-Project Defect Prediction Models in Industry", in collaboration with CPAC Systens AB. (2018, Master's thesis)
Patrik Haar and David Michaelsson, "Automated GUI Testing: A Comparison Study With A Maintenance Focus", in collaboration with Canea AB. (2018, Master's thesis)
Kevin Hedberg Griggith and Erik Nguyen, "Understanding the Impacts of Affects on Individual and Team Performance with the Experience Sampling Method", in collaboration with Volvo AB. (2018, Master's thesis)

Gregory Gay

ggay@chalmers.se

Research Interests: automated software testing and analysis, search-based software engineering, automated test generation, fuzzing, development/testing for environmental sustainability, data analytics, optimization, information retrieval.

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

Mutation Testing for C++ in a Continuous Integration Pipeline (M.Sc. thesis, Zenseact, more info available soon)
AI-assisted Test Maintenance (M.Sc. thesis, Ericsson, more info available soon)

Examples of Recently Supervised Theses:

Test Maintenance for Machine Learning Systems: A Case Study in the Automotive Industry (2022, Masters Thesis, with Zenseact, link goes to conference paper based on thesis)
Identifying Redundancies and Gaps Across Testing Levels During Verification of Automotive Software (2022, Masters Thesis, with Scania, link goes to workshop paper based on thesis)
Mutation Testing in Continuous Integration: An Exploratory Industrial Case Study (2022, Masters Thesis, with Zenseact, link goes to workshop paper based on thesis)
How Do Different Types of Testing Goals Affect Test Case Design? (2022, Bachelors Thesis, link goes to conference paper based on thesis)
Search-based Test Generation Framework for Android Apps with Support for Multi-objective Generation: STGFA-SMOG (2021, Masters Thesis, link goes to conference paper based on thesis)

Francisco Gomes

francisco.gomes@cse.gu.se

Research Interests: automated software testing and analysis, automated test selection and prioritisation, data analytics, test optimisation, software development bots (DevBots).

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

- Software visualisation applied to Test Analytics.
- Developing software development bots to assist regression testing.
- Analysing flipped classroom methods for teaching OOP.

Some detailed ideas for BSc Thesis (co-supervised with Linda Erlenhov):

Thesis A: Usage and adoption of Github actions in open source.
- Question(s): How is the use of GitHub Actions discussed by developers?
- Data collection: Focus on using automated ways for topic analysis of issues and pull requests (using LDA, other language model?)
- Data analysis: Do qualitative analysis of the issues discussion threads.
- Note: Reproduction of Github Actions paper: (https://arxiv.org/pdf/2103.12224.pdf)
Thesis B: Expectations and discussions on AI assisted development.
- Question(s): What are the main topics of discussion on StackOverflow about ChatGPT and Copilot? What is the general feeling about those tools? Are there specific problems/questions raised by their users in SW development?
- Data collection: Filter and mine stackoverflow discussion posts.
- Data Analysis: Quantitative analysis on related tags, the posts over time, number of answers, etc. Qualitative analysis on the content of discussions (questions and answers), Sentiment analysis on the discussions.
Thesis C: Main problems faced when building github actions
- Question(s): What are the main questions and challenges that people face when developing github actions.
- Data collection: Mine stackoverflow posts, discussion threads, tags, etc.
- Data analysis: Qualitative analysis on the questions, topics, answers, etc.

Paper references:
https://www.dropbox.com/s/hx0sfvr8nff9i4v/Nhan_MSR2022.pdf?dl=0
https://arxiv.org/pdf/2103.12224.pdf
https://peerj.com/articles/cs-866/

Examples of Recently Supervised Theses:

Evaluating the trade-offs of diversity-based test prioritization: an experiment (2020, Bachelor Thesis)
An experimental study on combining automated and stochastic test data generation (2020, Master's Thesis)
The effect of test case design in software testing bots (2019, Bachelor thesis published at BotSE 2020)
A Case Study on Test Optimisation and Visualisation of Diversity Information (2019, Master's Thesis with Volvo Cars)
Visualisation of Test Failure Data to Support Fault Localisation in Distributed Embedded Systems within the Automotive Industry (2017, BSc Thesis with Volvo Cars- published at ISSRE 2018)

Lucas Gren

lucas.gren@gu.se

Research Interests: Data-driven work, Social Psychology, Agile Development Processes, Statistical Methods
(all in the context of Empirical Software Engineering)

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

Leader prototypicality in software engineering: are more typical team members more effective leaders?
The Group Psychology of Safety-Critical Systems Development.
Understanding the Social Dynamics of Mob Programming.
Measurements of Continuous Improvement in the automotive industry.
How to replicate SE experiments with tiny sample sizes: A Bayesian approach.
Sample size recommendations in SE studies.
Interpersonal conflict in software development.
Quality of code reviews and team maturity
The negotiation styles of software developers.

Examples of Recently Supervised Theses:

Nilson M., Antinyan V., and Gren L. "Do internal software quality tools measure validated metrics?" In Proceedings of the 3rd International Workshop on Managing Quality in Agile and Rapid Software Development Processes (QuASD 2019), Barcelona, Spain, Nov 27, 2019, DOI: 10.1007/978-3-030-35333-9_50
Mellblom E., Arason I., Gren L., and Torkar R. “The Connection Between Burnout and Personality Types in Software Developers” IEEE Software 36(5), 2019, DOI: 10.1109/MS.2019.2924769.
Bäckevik A., Tholén E., and Gren L. “Social Identity in Software Development” In Proceedings of the 12th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE), Montréal, Canada, May 27, 2019.
Al-Sabbagh K., and Gren L. “The Connections Between Group Maturity, Software Development Velocity and Planning Effectiveness,” Journal of Software: Evolution and Process, 30(1), 2018, DOI:10.1002/smr.1896.
Chronis K., and Gren L. “Agility measurements mismatch: A validation study on three agile team assessments in software engineering” In Proceedings of the 17th International Conference on Agile Software Development (XP), Edinburgh, United Kingdom, May 24-27, 2016. DOI: 10.1007/978-3-319-33515-5_2

Hans-Martin Heyn

heyn@chalmers.se

Research Interests: software engineering for systems with ML components, functional safety of software systems, distributed cyberphysical systems, causal analysis, uncertainty analysis

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

THP-2023-1: Explore how data needs / requirements are communicated between (ML) model-developers and experimenters in environmental research and investigate ways to improve this communication.
THP-2023-2: Investigate the context dependency of fairness metrics for ML systems.
THP-2023-3: Explore causal models as specification language for ML models in cyberphysical systems.
THP-2023-4: Identify relevant safety standards for ML-enabled automotive perception systems and map their impact to elements of typical ML development pipelines for automotive systems.
THP-2023-5: Out of context detection for ML systems based on causal thinking.
THP-2023-6: Explore automated root cause analysis based on diagnostic trouble codes: a data-driven approach in the automotive industry.
THP-2023-7: Investigate how to structure requirements for automotive perception systems and inter-relate between them especially in relation to safety aspects (and fairness).

You find all open thesis topics also on my website: https://martinheyn.github.io

Examples of Recently Supervised Theses:

Svensson V. and Roudsari, M., "Non-functional requirements and their impact on AGV based systems", 2023
Malleswaren I. and Dinakaran, S., "Challenges in Specifying Safety-Critical Systems with AI-Components", 2022
Pradhan, S. and Tungal S., "Quality Attributes of Data in Distributed Deep Learning Architectures", 2021, (full text available)
Linder, J. and Subbiah P., "Deriving Contextual Definition and Requirements from Use Cases of Autonomous Drive", 2021, (full text available)

Jennifer Horkoff

jenho@chalmers.se

Research Interests: requirements engineering, non-functional requirements, machine learning, creativity, agile, business intelligence, modeling, APIs.

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

https://www.cse.chalmers.se/~jenho/Teaching/Theses/ThesisTopics2023.html

Examples of Recently Supervised Theses:

Selecting Business Intelligence Solutions using Requirements Engineering (2019, Master's Thesis)
Evaluating and Developing Methods to Assess Business Process Suitability for Robotic Process Automation: A Design Research Approach (2018, Master's Thesis)
Incremental requirements engineering in a large-scale agile and safety-critical context: a case study (2018, Master's Thesis)
A UML Activity Diagram Extension and Template for Bioinformatics Workflows: A Design Science Study (2019, Bacher's Thesis)
A Framework for Applying an API-layered Architecture to e3 value Models (2018, Bachelor's Thesis)
Find an older list here

Eric Knauss

eric.knauss@cse.gu.se

oerich.wordpress.com

Research Interests: Requirements engineering, architecture, knowledge management, strategic decision making in scaled-agile system development and ai-based system development

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

Prototype and Requirements Engineering of an AI-based Augmented Reality information system for Smart-Build Environments. The prototype should use mobile and augmented reality technology to make AI-based decision support available to key stakeholders on-site. Various partners in the building sector.
Method and approach to describe use cases for autonomous drive and active safety technology in relation to contextual information. In collaboration with a large local supplier of autonomous drive and active safety technology.
Method and approach to describe quality attributes of data in distributed deep learning architectures. In collaboration with a large local supplier of autonomous drive and active safety technology.

Examples of Recently Supervised Theses:

Mebrahtom Guesh Gebremichael (2019): Requirements Engineering for Large-Scale Agile System Development: A Tooling Perspective. Master’s thesis, Dept. of Computer Science and Engineering, Chalmers | University of Gothenburg, Sweden.
Felix Lissåker, Johan Sjöberg (2019): Architecture Framework for Blockchain Implementation: A Design Science Study. Master’s thesis, Dept. of Computer Science and Engineering, Chalmers | University of Gothenburg, Sweden.
Odzaya Batsaikhan, Yi-Chun Lin (2018): Building a Shared Understanding of Customer Value in a Large- Scale Agile Organization. Master’s thesis, Dept. of Computer Science and Engineering, Chalmers | University of Gothenburg, Sweden.
Elsa Mjöl Bergsteinsdóttir, Henrik Helén Edholm (2018): Designing Continuous Toolchains: Using Propo- sed Guidelines and Tool Capabilities. Master’s thesis, Dept. of Computer Science and Engineering, Chalmers | University of Gothenburg, Sweden.
Rim Shahin, Catarina Curta (2018): Designing a Requirements Elicitation Approach for Intelligent and Interactive Systems in Autonomous Vehicles. Master’s thesis, Dept. of Computer Science and Engineering, Chalmers | University of Gothenburg, Sweden.

Philipp Leitner

philipp.leitner@chalmers.se

Research Interests: empirical research on Web and cloud systems; performance measurement, modelling, and prediction

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

Development of an automated tool (bot) for performance measurement
A study of JMH benchmark usage in open source systems
Performance test case minimisation / performance test case selection
Impact of generative AI on studying programming

Examples of Recently Supervised Theses:

Optimizing the generation of Java JMH Benchmarks (2022, Master's Thesis)
- Thesis
Using Edge technologies to improve performance of cloud computing in the automotive industry (2022, Master's Thesis)
JUnit-to-JMH: Automatic Generation of Performance Benchmarks from Existing Unit Tests in Java (2021, Master's Thesis)
The Impact of Adopting Continuous Integration on the Delivery Time of Pull Requests - A Partial Replication and Extension (2019, Master's Thesis)
- Thesis
- Resulting scientific paper

Birgit Penzenstadler

birgitp@chalmers.se

Research Interests: sustainability; neuroplasticity practices for resilience; software systems for intentional communities; mindfulness and sustainability practices; wellbeing; mental health; permaculture

Suggestions for Thesis Topics (2024):

For the following topic proposals I will request you to find an adequate company (or several) to work with.

Environmental sustainability factors and their impact in software engineering companies
Effects of wellbeing practices on team cohesiveness, communication, creativity, happiness, satisfaction, enthusiasm, and retention
Performance impacts of individuals and teams based on wellbeing or resilience
The relation between developer wellbeing and responsibility for social and environmental debt of software-intensive systems
Attitudes towards wellbeing, resilience and mental health in software development & management and their effects on individuals and teams
Effects of the digital divide in wellbeing and resilience from a developer’s view
Wellbeing and resilience of minority developer populations (e.g. gender, ethnicity, culture, age)
Analysis of Intervention opportunities to increase wellbeing in software engineers' days
(An in-depth analysis with companies or one more dedicated company, by a survey followed by interviews that go deeper into the survey questions to elicit the needs and wishes and opportunities for where & how we can increase wellbeing. Then we propose options for tailored interventions that fit the needs that have come up.
Action Research on Intervention opportunities to increase wellbeing in software engineers' days
(A survey on wellbeing and resilience and then evaluate a proposed intervention developed based on the actual needs, and then evaluate the tailored solution. This requires company employees to be willing to participate.)
Biohacking amongst software engineers - how to be and perform well
(Evaluation of an intervention, to see which routines make a difference - we would need a set of a dozen people that do the intervention and a set of a dozen who don’t (but still fill out a couple of surveys for us) such that we can compare the data)
Mental wellbeing in software engineering companies - intention and reality
(Getting an overview of what is there, this calls for a wider survey, to check what companies are putting out there versus what the employees get.)

Examples of Recently Supervised Theses:

Does Gender Matter? An Interview Study on Representation of Gender in Software Systems (2022, BSc)
Mental wellbeing and anxiety amongst students (2022, BSc)
Benefits of breathing practices for computer workers (2021, MSc thesis and BSc thesis)
The impact of software systems on sustainability (2021, BSc theses)
Designing a customer CRM system for the home automation industry (2016, Master's Thesis)
SE4S Project Vision Diagramming Toolkit: Build your vision (2016, Master's Thesis)
User Interface Design, Database Connectivity and Security in Fortified Cards (2016, Master's Thesis)
QR codes and communication between Android and unit testing in Fortified Cards (2016, Master's Thesis)
Protomaker - three dimensional CNC Platform (2016, Master's Thesis)
Laser Printhead Platform for Protomaker (2016, Master's Thesis)
Weighing environmental impacts in software distribution systems (2015, Master's Thesis)

Miroslaw Staron

miroslaw.staron@gu.se

Research Interests: data analytics; software metrics; software design; mining software repositories; programming languages and techniques; automotive software engineering; telecom software engineering; continuous integration;

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

Volvo Cars: Using Machine Learning for triaging of incident data (software maintenance)
Ericsson: Software measurement optimized data storage
Swedco: Use of Artificial Intelligence to improve the digitization process in urban development
Other thesis topics also available with Software Center companies - www.software-center.se

Examples of Recently Supervised Theses:

Applying Machine Learning to Identify Maintenance Level for Software Releases (2019, Master's Thesis)
Improving the Continuous Integration Process for the Vehicle Dynamics Software at VCC using Docker (2019, Master's Thesis)

Daniel Strüber

danstru@chalmers.se

Research Interests: AI Engineering, Software Product Lines, Model-Driven Engineering, Search-Based Software Engineering

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

Topics in AI engineering
- Repository mining studies on software quality issues and/or refactorings in machine-learning-enabled software
- Developing new approaches for detecting software quality issues and refactorings in machine-learning-enabled software
- Code differencing of machine-learning-enabled software
Topics in software product liens
- Explaining quality trade-offs in software product line configurations
- Automated mining of constraint patterns in feature models using genetic algorithms
- Repository mining study of feature interactions
- View-based editing of software product lines
Topics in model-driven engineering & search-based software engineering
- Evaluating the abstraction capabilities of large language models in the context of software design models
- Supporting model optimization with an automated approach for bridging between high-level domain models and low-level encodings
- A benchmark set and framework for model-driven optimization techniques
I welcome thesis collaborations with companies, but in that case, the thesis topic should be aligned with my research interests. For topics clearly not in the scope of my research interests, please try to identify a closer match among my colleagues.

Examples of Recently Supervised Theses:

Attribute-Based Content Redaction in Large-Scale Data Systems: A Study of Granular Access Control (thesis available)
Development of a Query Language for Improved Versioning Support for Machine- Learning-Based Systems (thesis available)
Generating Mutation Operators for a Search-Based Model-Driven Implementation of the Next Release Problem (thesis available)
A Maturity Assessment Framework for Conversational AI Development Platforms (paper at SAC 2021 available)
Feature-Oriented Defect Prediction (paper at SPLC 2020 available)
Clone Detection for Model Transformation Languages (paper in SoSyM, 2019 available)

Richard Berntsson Svensson

richard@cse.gu.se

Research Interests: Data Driven Decision Making; Decision Making; Creativity and Innovation; Requirements Engineering; Agile and Lean Software Development.

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

Not for VT23

Examples of Recently Supervised Theses:

Systematic Data-Driven Decision Making in Requirements Engineering (2020, Master's Thesis)
LeAgile Measurement and Metrics: A Systematic Literature Review and Case Study (2017, Master's Thesis)
Gamification as a Tool to Encourage Eco-Driving (2017, Master's Thesis)
Aligning Legacy Requirement Specifications and Semi-Automated Testing (2015, Master's Thesis)
Impact of Usability on Process Lead-Time in Information Systems (2015, Master's Thesis)
More examples can be found on my page

Picture of Richard

Richard Torkar

richard.torkar@gu.se

Research Interests: applications of analysis methods in software engineering activities; software testing; soft issues in software engineering; fault prediction; quality prediction; machine learning applications in software engineering; causal analysis; experimental designs

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

Generative models from directed acyclic graphs. Directed acyclic graphs (DAGs) have become common for reasoning about causality in a system. One way to use DAGs is to do sanity checks of statistical models. The idea here is to first start by designing a DAG and then make it generative, i.e., annotate DAGs to then generate data from them. The next step is to use the generated data to see how well a model design can recover the parameters of interest (if it can't then you have a misspecified model). One could then also use information theoretical approaches to judge how similar the empirical data is to the generative data, and much more...
Model comparisons in Bayesian data analysis relies heavily on information theoretical measures to judge out of sample prediction capabilities (e.g., AIC, BIC, WAIC, LOO, KL divergence etc.) A "significantly" different model is often pointed out in literature a bit arbitrary to be between 4 $LaTeX: \sigma$ and 6 $LaTeX: \sigma$ "better" than other models concerning expected log pointwise predictive density (elpd/elppd).
I would like us to do a simulation study where we investigate disparate thresholds; there are tensions here to investigate! There is an implicit cost for larger models (e.g. larger model is more difficult to understand or the costs of feature measurements might be unknown), and then we might want to choose a smaller model with a close to similar predictive performance as a bigger model. This is a bit tricky since we need to quantify the complexity of a model's design (implicitly its output), but we probably also want to have qualitative measurements from experts (i.e., what do they judge to be hard to understand; and this is dependent on many things...) In summary, we want to find a utility theory for model selection; a theory that preferably is general. If we can't find such a theory, we should at least be able to provide the main components for deriving a utility for a specific context.

Examples of Recently Supervised Theses:

The broken windows theory in software engineering: An experiment on technical debt propagation (2021, Master's thesis) https://arxiv.org/pdf/2209.01549.pdf
Non-functional requirements testing in the Medtech industry: An automated test framework for vascular surgery simulations (2021, Master's thesis)
Increasing End-Users' Awareness of Software's Environmental Impact: An Exploratory Case Study (2021, Master's thesis)
Measuring affective states from technical debt: A psychoempirical software engineering experiment (2019, Master's thesis)
An empirical study of Linespots: A novel past-fault algorithm (2019, Master's thesis)

Rebekka Wohlrab

wohlrab@chalmers.se

Research Interests: Self-adaptive systems, software architecture, automated planning for autonomous systems, cybersecurity, requirements engineering.

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

Check this page with a few descriptions of topics.

This is a summary:

Resolving conflicts in robot mission planning
Replanning missions for autonomous systems
Human interaction with robotic systems

You can also come with your own suggestions.

Examples of Recently Supervised Theses:

Methods for Understanding Tradeoffs in Software Architecture Design Spaces: A data-driven approach for cloud systems (MSc, 2023, with Volvo Cars)
A quality-focused explainability approach for robot mission planning (MSc, 2023)
Increasing the confidence in security assurance cases at runtime: A decision-support system using game theory (MSc, 2023)
Exploring the Adoption and Effectiveness of Architectural Decision Records in Agile Software Development (BSc, 2023, with AFRY)
Exploring Developers’ Perspectives on Architectural Drift: An Industrial Multiple Case Study (BSc, 2023)

Tayssir Bouraffa

tayssir@chalmers.se

Research Interests: Computer Vision, Deep Learning, Video and Image Processing, Autonomous Driving and Biomedical Engineering.

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

Develop a camera-based intelligent solution that can detect and monitor the driver’s
health conditionDevelop camera-based intelligent solution for driver's health condition monitoring: the feasibility of detecting different vital signs simultaneously in-
vehicle environment Explore the feasibility of detecting different vital signs simultaneously like Heart rate and Respiration rate in a vehicle environment using Deep Learning Models.
Design and develop Deep Learning algorithm for multi-object tracking (cars, bikes, e-scoters,..).
Develop an intelligent approach for traffic accident detection using a dashboard-mounted camera (Videos).

M. Çağrı Kaya

cagri.kaya@chalmers.se

Research interests: Software architecture, component-based/oriented software engineering, interoperability of heterogeneous systems, variability modeling and management, digital metrology applications, automotive simulations and maneuver detection, microservice architecture

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

Fidelity/Trustworthiness of virtual test environments:
- Comparing the module-level and system-level testing of automotive simulations

Vehicle-to-vehicle and vehicle-to-infrastructure communication patterns:
- Pros and cons of using different architectural patterns for component and connector view

Driver vital sign monitoring:
- Monitoring drivers' vital signals using contactless sensors
Digitalization efforts in Metrology and the calibration industry:
- Cloud-based SE solutions for electrical metrology/calibration processes
Integration of ontological knowledge in disease diagnostic agents:
- How can ontologies like DOID and MeSH improve the KI-CD hierarchical reinforcement learning model for disease diagnosis

Supervised Theses:

Interoperability among event-driven microservice-based systems (Master's thesis, 2022; paper)

Afonso Fontes

afonso.fontes@chalmers.se

Research Interests: automated software testing and analysis, search-based software engineering, automated test generation.

Suggestions for Thesis Topics/Open Thesis Topics (2023/2024):

Enhancing Software Test Generation
- Using Machine Learning models/tools
  - Supervised, unsupervised, adversarial networks, RL approaches; Single and/or multiple agents;
- Using Large Language Model integration (i.e. Chat GPT, bard);