TY - GEN
T1 - Summarizing, classifying and diversifying user feedback
AU - Guzman, Emitza
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84907887566&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84907887566&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84907887566
T3 - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
SP - 237
EP - 240
BT - Software Engineering 2014
A2 - Hasselbring, Wilhelm
A2 - Ehmke, Nils Christian
PB - Gesellschaft fur Informatik (GI)
T2 - Software Engineering 2014
Y2 - 25 February 2014 through 28 February 2014
ER -