Dr. Emitzá Guzmán

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Department of Informatics
University of Zurich
Binzmühlestrasse 14
CH-8050 Zürich
Room BIN 2.B.19
Phone +41 44 635 71 28
Email guzman AT ifi.uzh.ch

Research

I am a Postdoc at the University of Zurich, interested in human factors in software engineering, as well as in empirical methods, data mining and data analysis for software engineering purposes. 

Through my research I strive to develop methods that allow for more inclusive and efficient software engineering processes.

To give software end-users a stronger voice, in my current work I study how end-users give feedback to developers and design/implement/evaluate methods for automatically processing this feedback. To this end, I combine techniques from data mining, data visualization and grounded theory.

So far I have analyzed data available in formal feedback channels, such as app stores and bug tracking systems, as well as in informal feedback channels, such as Twitter and Facebook. The developed methods are useful for the classification, summarization and prioritization of user feedback, as well as for the detection of diverse feedback.

I have also worked on the automatic extraction of software rationale and requirements for scientific software, as well as on the automatic analysis of developers' communication artifacts.

Teaching

I am currently teaching the Requirements in Software Evolution seminar for Bachelors and Masters students.

Recent Publications

A more or less complete list is available in my  DBLP and Google Scholar profiles.

2017

  1. Emitza Guzman, Mohamed Ibrahim, Martin Glinz. "A Little Bird Told Me: Mining Tweets for Requirements and Software Evolution". In Proceedings of the Requirements Engineering Conference (RE). IEEE, 2017, (to appear).
  2. Emitza Guzman, Rana Alkadhi, and Norbert Seyff. "An Exploratory Study of Twitter Messages about Software Applications." Requirements Engineering Journal: 1-26, 2017.
  3. Rana Alkadhi, Jan Ole-Johanssen, Emitza Guzman, Bernd Bruegge. "REACT: An Approach for Capturing Rationale in Chat Messages"In Proceedings of the International Symposium on Empirical Software Engineering and Measurement (ESEM). IEEE, 2017, (to appear).  
  4. Elsa Bakiu, Emitza Guzman. "Which Feature is Unusable? Detecting Usability and User Experience Issues from User Reviews". In Proceedings of the International Workshop on Crowd-Based Requirements Engineering (CrowdRE). IEEE, 2017, (to appear).
  5. Emitza Guzman, Mohamed Ibrahim, Martin Glinz. "Mining Twitter Messages for Software Evolution". In Proceedings of the International Conference in Software Engineering (ICSE), pp. 283-284. IEEE, 2017.
  6. Rana Alkadhi, Teodora Lata, Emitza Guzman, Bernd Bruegge. "Rationale in Development Chat Messages: An Exploratory Study". In Proceedings of the Working Conference on Mining Software Repositories (MSR), pp. 436-446. IEEE, 2017.
  7. Emitza Guzman, Mohamed Ibrahim, Martin Glinz. Prioritizing User Feedback from Twitter: A Survey Report. In Proceedings of the International Workshop on Crowd Sourcing in Software Engineering (CSI-SE)pp. 21-24. IEEE, 2017.
  8. Eduard C. Groen, Norbert Seyff, Raian Ali, Fabiano Dalpiaz, Joerg Doerr, Emitza Guzman, Mahmood Hosseini, Jordi Marco, Marc Oriol, Anna Perini, Melanie Stade. "The Crowd in Requirements Engineering: The Landscape and Challenges." IEEE Software <34>, no. 2 (2017): 44-52.
  9. Norbert Seyff, Melanie Stade, Farnaz Fotrousi, Martin Glinz, Emitza Guzman, Martina Kolpondinos-Huber, Denisse Munante Arzapalo, Marc Oriol, and Ronnie Schaniel. "End-user Driven Feedback Prioritization." In Proceedings of the First Workshop on Requirements Prioritisation and Enactment (PRIORE), REFSQ Workshops (2017).

2016

  1. Emitza Guzman, Rana Alkadhi, and Norbert Seyff. "A Needle in a Haystack: What Do Twitter Users Say about Software?." In Proceedings of the Requirements Engineering Conference (RE), pp. 96-105. IEEE, 2016. [Best Paper Nominee]
  2. Sebastiano Panichella, Andrea Di Sorbo, Emitza Guzman, Corrado A. Visaggio, Gerardo Canfora, and Harald C. Gall. "ARdoc: app reviews development oriented classifier." In Proceedings of the 24th International Symposium on Foundations of Software Engineering (FSE), pp. 1023-1027. ACM, 2016.
  3. Melanie Stade, Norbert Seyff, Farnaz Fotrousi, Emitza Guzman, Samuel A. Fricker, Martin Glinz, Ronnie Schaniel, "Benutzerfeedback für die Softwareweiterentwicklung  erheben."  Fachgruppentreffen Requirements Engineering (2016).