Dr. Dora Dzvonyar
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E-Mail: dora.dzvonyar (at) tum.de Office hours: upon request. Contact me via e-mail or Slack to make an appointment. Postal address:
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Teaching
- iPraktikum (2020, 2019/20, 2019, 2018/19, 2018, 2017/18, 2017, 2016/17, 2016, 2015/16, 2015)
- Agile Project Management (2020, 2019/20, 2019, 2018/19, 2018, 2017/18, 2017, 2016/17, 2016, 2015/16)
- Teaching iOS (2020, 2019/20, 2019, 2018/19, 2018, 2017/18, 2017, 2016/17, 2016, 2015/16)
Certifications
- Science Communication Masterclass, UWE Bristol (11/2018)
- Zertifikat Hochschullehre der Bayerischen Universitäten (07/2017)
- Apple Certified Trainer (12/2017)
- Professional Scrum Master I (03/2018)
Voluntary Projects
- TEDxTUM Organizer (2014 - present)
- Informatik Forum Frauen Deputy Gender Equality Officer (2015 - present)
- Munich Geekettes Ambassador (2017 - present)
Presentations
- APSEC 2018: Team Composition and Team Factors in Software Engineering: An Interview Study of Project-based Organizations (Nara, 12/2018)
- Apple Educator Summit 2018: Teaching Strategies for App Development with Swift - Panel (Berlin, 10/2018)
- SEEM 2018: Team Composition in Software Engineering Project Courses (Göteborg, 06/2018)
- EDUCON 2018: Algorithmically Supported Team Composition for Software Engineering Project Courses (Santa Cruz de Tenerife, 04/2018)
- ISEE 2018: Reaching Steady State in Software Engineering Project Courses (Ulm, 03/2018)
- MODELS 2017 Edu'Symp: Modeling in Agile Project Courses (Austin, TX, 09/2017)
- Atlassian Summit 2015: Using Atlassian for State-of-the-Art Computer Science Education (San Francisco, CA, 11/2015)
- MODELS 2014 Edu'Symp: Real Projects with Informal Models (Valencia, 10/2014)
Publications
TEMPO: A Framework for Team Composition and Management in Project-Based Organizations (Link)
Dora Dzvonyar
Technical University of Munich, Doctoral Dissertation
2018: Team Composition and Team Factors in Software Engineering: An Interview Study of Project-based Organizations
Dora Dzvonyar, Bernd Bruegge
Asia-Pacific Software Engineering Conference (APSEC'18)
2018: Software Theater—Teaching Demo-Oriented Prototyping
Stephan Krusche, Dora Dzvonyar, Han Xu, and Bernd Bruegge
ACM Transactions on Computing Education (TOCE), 18(2), 10.
2018: Team Composition in Software Engineering Project Courses
Dora Dzvonyar, Lukas Alperowitz, Dominic Henze, and Bernd Bruegge
International Workshop on Software Engineering Education for Millennials (SEEM'18) @ ICSE'18
2018: Algorithmically Supported Team Composition for Software Engineering Project Courses
Dora Dzvonyar, Dominic Henze, Lukas Alperowitz, and Bernd Bruegge
Global Engineering Education Conference (EDUCON'18)
2018: Reaching Steady State in Software Engineering Project Courses
Dora Dzvonyar, Bernd Bruegge
Workshop on Innovative Software Engineering Education (ISEE'18) @ SE'18
2017: Modeling in Agile Project Courses
Lukas Alperowitz, Jan Ole Johanssen, Dora Dzvonyar, and Bernd Bruegge
EduSymp @ MoDELS'17
2016: Metrics in Agile project courses
Lukas Alperowitz, Dora Dzvonyar, and Bernd Bruegge
International Conference on Software Engineering Companion (ICSE'16)
2016: Context-aware user feedback in continuous software evolution
Dora Dzvonyar, Stephan Krusche, Rana Alkadhi, and Bernd Bruegge
International Workshop on Continuous Software Evolution and Delivery (CSED'16) @ ICSE'16
2014: Real Projects with Informal Models
Dora Dzvonyar, Stephan Krusche, and Lukas Alperowitz
EduSymp @ MoDELS'14
Projects
- Training app for an in vivo microscope in brain surgery, Zeiss (2019)
- Assistant to prepare for and recover from cataract surgery, Zeiss (2018-2019)
- Predictive parking spot recommendations based on machine learning, msg (2018)
- Reservation system with near-field verification, Bokowsky+Laymann (2017-2018)
- Tracking sensitive machine shipments using sensor data, Zeiss (2016-2017)
- Creating custom perfume fragrances, B/S/H/ (2016-2017)
- Intuitive mobile reports for agile project managers, NTT DATA (2016)
- Stroke workflow optimization with automatic tracking, Klinikum rechts der Isar (2016)
- Smart washing instructions & machines, B/S/H/ (2015-2016)
Theses
Open
Since my time at TUM is slowly coming to a close, I will not be able to supervise any more theses. This article I wrote with personal advice on how to contact potential supervisors might help you. Let me know if it did!
In Progress
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Masterthesis
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Development of a Team Personality Profile for Team Composition in Software Engineering
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Advisor
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Dora Dzvonyar
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| Author | Michael Schmid |
| Date | 10/2019 |
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Basis: TEASE tool for team allocation in software engineering courses (described in detail in this paper); existing, anonymized personality data (TIPI) from previous project courses Goals: Conduct research on how to use the Big 5 Personality Inventory in teams; analyze existing, anonymized personality data (measured using the shorter TIPI) and categorize teams regarding their personality profiles; develop and implement a visualization method for project managers to derive learnings for future teams Prior knowledge & interests: research, data analysis, visualization, software engineering |
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Bachelorthesis
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Multi-Objective Optimization for Team Composition in Project Courses
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Advisor
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Dora Dzvonyar
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| Author | Teodora Dobos |
| Date | 03/2020 |
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Basis: TEASE tool for team allocation in software engineering courses (described in detail in this paper); existing, anonymized data from previous project courses Goals: Evaluate other algorithms for usage in this context, notably multiobjective optimization approaches and/or approaches that can work with fuzzy data (bring your own ideas if you'd like). Evaluate 3 algorithms against each other and implement one for usage in TEASE. Prior knowledge & interests: algorithms, optimization, software engineering
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Finished
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Bachelorthesis
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Visualization of Trade-offs in Multi-objective Optimization for Project Team Composition
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Advisor
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Dora Dzvonyar
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| Author | Sebastian Burgkart |
| Date | 10/2019 |
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Team composition for the multi-project capstone course iPraktikum is currently supported by single-objective optimization. This approach can be improved by using multiple objectives and finding an optimal solution in an iterative way. However, multi-objective approaches are more difficult for the user to understand, especially when it comes to trade-offs between objectives. The main goal of this thesis is to create a user interface that visualizes trade-offs and outcomes of each iteration in an understandable, easily usable way. Four candidate user interfaces are created based on the elicited requirements and evaluated in a user study, leading to an optimized user interface combining the best features of the candidate interfaces.
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