TY - GEN
T1 - Finding and Analyzing App Reviews Related to Specific Features
T2 - 25th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2019
AU - Dąbrowski, Jacek
AU - Letier, Emmanuel
AU - Perini, Anna
AU - Susi, Angelo
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - [Context and motivation] App reviews can be a rich source of information for requirements engineers. Recently, many approaches have been proposed to classify app reviews as bug reports, feature requests, or to elicit requirements. [Question/problem] None of these approaches, however, allow requirements engineers to search for users’ opinions about specific features of interest. Retrieving reviews on specific features would help requirements engineers during requirements elicitation and prioritization activities involving these features. [Principal idea/results] This paper presents a research preview on our tool-supported method for taking requirements engineering decisions about specific features. The tool will allow one to (i) find reviews that talk about a specific feature, (ii) identify bug reports, change requests and users’ sentiment about this feature, and (iii) visualize and compare users’ feedback for different features in an analytic dashboard. [Contributions] Our contribution is threefold: (i) we identify a new problem to address, i.e. searching for users’ opinions on a specific feature, (ii) we provide a research preview on an analytics tool addressing the problem, and finally (iii) we discuss preliminary results on the searching component of the tool.
AB - [Context and motivation] App reviews can be a rich source of information for requirements engineers. Recently, many approaches have been proposed to classify app reviews as bug reports, feature requests, or to elicit requirements. [Question/problem] None of these approaches, however, allow requirements engineers to search for users’ opinions about specific features of interest. Retrieving reviews on specific features would help requirements engineers during requirements elicitation and prioritization activities involving these features. [Principal idea/results] This paper presents a research preview on our tool-supported method for taking requirements engineering decisions about specific features. The tool will allow one to (i) find reviews that talk about a specific feature, (ii) identify bug reports, change requests and users’ sentiment about this feature, and (iii) visualize and compare users’ feedback for different features in an analytic dashboard. [Contributions] Our contribution is threefold: (i) we identify a new problem to address, i.e. searching for users’ opinions on a specific feature, (ii) we provide a research preview on an analytics tool addressing the problem, and finally (iii) we discuss preliminary results on the searching component of the tool.
KW - Feedback analytics tool
KW - Mining users reviews
KW - Requirement engineering
KW - Software quality
UR - http://www.scopus.com/inward/record.url?scp=85064059329&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-15538-4_14
DO - 10.1007/978-3-030-15538-4_14
M3 - Conference contribution
AN - SCOPUS:85064059329
SN - 9783030155377
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 183
EP - 189
BT - Requirements Engineering
A2 - Goedicke, Michael
A2 - Knauss, Eric
PB - Springer Verlag
Y2 - 18 March 2019 through 21 March 2019
ER -