Dr. Emitzá Guzmán Ortega emitza.guzman (at) mytum.de Technische Universität München Institut für Informatik I1 D-85748 Garching b. München Germany Office: 01.07.060 Tel: +49 (89) 289-18200 |
I am a PhD student in the chair of applied software engineering in the Technische Universität München. My research lies at the intersection between software engineering, intelligent user interfaces and data mining. Broadly speaking, I am interested in understanding how information technology affects our society and how technology can be used to understand how society works.
For my dissertation I study how software users give feedback to developers and suggest methods for improving how this feedback is processed to give users a stronger voice in the software development process. To this end, I combine techniques from sentiment analysis, data mining and grounded theory to process, analyze, interpret and model data written by users in current feedback systems.
Publications
- Yang Li, Emitza Guzman, Bernd Bruegge. Effective Requirements Engineering for CSE Projects: a Lightweight Tool. Proc. of the International Conference on Computational Science and Engineering - CSE '15 (to appear).
- Emitza Guzman, Muhammad El-Halaby, Bernd Bruegge. Ensemble Methods for App Review Classification: An Approach for Software Evolution. Proc. of the Automated Software Enginering Conference - ASE '15 (to appear).
- Emitza Guzman, Omar Aly, Bernd Bruegge. Retrieving Diverse Opinions from App Reviews. Proc. of the Empirical Software Engineering and Measurement Conference - ESEM '15 (to appear).
- Sebastiano Panichella, Andrea Di Sorbo, Emitza Guzman, Corrado Aaron Visaggio, Gerardo Canfora, Harald Gall. How Can I Improve My App? Classifying User Reviews for Software Maintenance and Evolution. Proc. of the International Conference on Software Maintenance and Evolution - ICSME '15 (to appear).
- Yang Li, Emitza Guzman, Konstantina Tsiamoura, Florian Schneider, Bernd Bruegge. Automated Requirements Extraction for Scientific Software. Proc. of the International Conference on Computational Science - ICCS '15.
- Emitza Guzman, Padma Bhuvanagiri, Bernd Bruegge. FAVe: Visualizing User Feedback for Software Evolution. Proc. of the Working Conference on Software Visualization - VISSOFT ’14, New Ideas Track.
- Emitza Guzman, Walid Maalej. How Do Users Like this Feature? A Fine Grained Sentiment Analysis of App Reviews. Proc. of the Requirements Engineering Conference - RE '14.
- Emitza Guzman, David Azócar, Yang Li. Sentiment Analysis of Commit Messages in GitHub: An Empirical Study. Proc. of the Mining Software Repositories Conference - MSR '14, Mining Challenge [Best MSR Challenge Paper]
- Emitza Guzman. Summarizing, Classifying and Diversifying User Feedback. Proc. of the Software Engineering Conference - SE '14, Doctoral Symposium.
- Emitza Guzman. Visualizing Emotions in Software Development Projects. Proc. of the Working Conference on Software Visualization - VISSOFT ’13, New Ideas Track.
- Emitza Guzman, Bernd Bruegge. Towards Emotional Awareness in Software Development Teams. Proc. of the International Symposium on the Foundations of Software Engineering - FSE ’13, New Ideas Track.
- Lars Kunze, Mihai Dolha, Emitza Guzman, Michael Beetz. Simulation-based Temporal Projection of Everyday Robot Object Manipulation. Proc. of the International Conference on Autonomous Agents and Multiagent Systems - AAMAS '11.
- Marina Plavšic, Emitza Guzman, Klaus Bengler, Heiner Bubb. Modelling Control Behavior for the Cognitive Driver Model. Proc. of the Second European Conference on Human Centered Design for Intelligent Transport Systems - HUMANIST '10 .