TY - GEN
T1 - Mining User Feedback For Software Engineering
T2 - 30th IEEE International Requirements Engineering Conference, RE 2022
AU - Dabrowski, Jacek
AU - Letier, Emmanuel
AU - Perini, Anna
AU - Susi, Angelo
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - App reviews can provide valuable information about user needs but analyzing them manually is challenging due to their large quantity and noisy nature. To overcome this problem, a variety of app review mining techniques have been proposed. So far, however, research in this area has paid little attention to the software engineering use cases of the mining techniques. This limits the understanding of their usefulness, applications and desired future developments. We address this problem by elaborating a reference model relating app review mining techniques to specific software engineering activities. In this paper, we present a unified description of software engineering use cases for mining app reviews and define a reference architecture realizing these use cases through a combination of natural language processing and data mining techniques. The use cases provide a novel systematic exposition of the envisioned applications and benefits of app review mining for software engineers. The reference architecture synthesises the diversity of research to realise these benefits and provide a general framework guiding the development and evaluation of future research and tools.
AB - App reviews can provide valuable information about user needs but analyzing them manually is challenging due to their large quantity and noisy nature. To overcome this problem, a variety of app review mining techniques have been proposed. So far, however, research in this area has paid little attention to the software engineering use cases of the mining techniques. This limits the understanding of their usefulness, applications and desired future developments. We address this problem by elaborating a reference model relating app review mining techniques to specific software engineering activities. In this paper, we present a unified description of software engineering use cases for mining app reviews and define a reference architecture realizing these use cases through a combination of natural language processing and data mining techniques. The use cases provide a novel systematic exposition of the envisioned applications and benefits of app review mining for software engineers. The reference architecture synthesises the diversity of research to realise these benefits and provide a general framework guiding the development and evaluation of future research and tools.
KW - Mining User Feedback
KW - Reference Architecture
KW - Requirements Engineering
KW - Software Analytics
KW - Software Engineering
UR - http://www.scopus.com/inward/record.url?scp=85141003015&partnerID=8YFLogxK
U2 - 10.1109/RE54965.2022.00017
DO - 10.1109/RE54965.2022.00017
M3 - Conference contribution
AN - SCOPUS:85141003015
T3 - Proceedings of the IEEE International Conference on Requirements Engineering
SP - 114
EP - 126
BT - Proceedings - 30th IEEE International Requirements Engineering Conference, RE 2022
A2 - Knauss, Eric
A2 - Mussbacher, Gunter
A2 - Arora, Chetan
A2 - Bano, Muneera
A2 - Schneider, Jean-Guy
PB - IEEE Computer Society
Y2 - 15 August 2022 through 19 August 2022
ER -