Summarizing, classifying and diversifying user feedback

Emitza Guzman*

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review


Current software users can give feedback about a software application through diverse online mediums such as blogs, forums, instant messaging and product review sites. This produces a large amount of textual information, making it difficult to take user feedback into consideration in the software evolution process. We propose to automatically summarize, classify and diversify textual user feedback in order to reduce information overload and give users a stronger voice in software evolution. In this paper we describe the research questions, the envisioned approach and the achieved progress related to the presented thesis.

Original languageEnglish
Title of host publicationSoftware Engineering 2014
EditorsWilhelm Hasselbring, Nils Christian Ehmke
PublisherGesellschaft fur Informatik (GI)
Number of pages4
ISBN (Electronic)9783885796213
Publication statusPublished - 1 Jan 2014
Externally publishedYes
EventSoftware Engineering 2014 - Kiel, Germany
Duration: 25 Feb 201428 Feb 2014

Publication series

NameLecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
ISSN (Print)1617-5468


ConferenceSoftware Engineering 2014


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