DocumentCode
635212
Title
Analysis of user comments: An approach for software requirements evolution
Author
Galvis Carreno, Laura V. ; Winbladh, Kristina
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Delaware, Newark, DE, USA
fYear
2013
fDate
18-26 May 2013
Firstpage
582
Lastpage
591
Abstract
User feedback is imperative in improving software quality. In this paper, we explore the rich set of user feedback available for third party mobile applications as a way to extract new/changed requirements for next versions. A potential problem using this data is its volume and the time commitment involved in extracting new/changed requirements. Our goal is to alleviate part of the process through automatic topic extraction. We process user comments to extract the main topics mentioned as well as some sentences representative of those topics. This information can be useful for requirements engineers to revise the requirements for next releases. Our approach relies on adapting information retrieval techniques including topic modeling and evaluating them on different publicly available data sets. Results show that the automatically extracted topics match the manually extracted ones, while also significantly decreasing the manual effort.
Keywords
information retrieval; mobile computing; software quality; automatic topic extraction; information retrieval technique; requirement engineering; sentence representation; software quality; software requirement evolution; third party mobile application; topic modeling; user comment analysis; user feedback; Adaptation models; Analytical models; Androids; Data mining; Humanoid robots; Manuals; Software; Information Retrieval; Requirements; Software Evolution; Topic Modeling; User Comments; User feedback;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering (ICSE), 2013 35th International Conference on
Conference_Location
San Francisco, CA
Print_ISBN
978-1-4673-3073-2
Type
conf
DOI
10.1109/ICSE.2013.6606604
Filename
6606604
Link To Document