TY - GEN
T1 - Prioritizing User Feedback from Twitter
T2 - 4th IEEE/ACM International Workshop on CrowdSourcing in Software Engineering, CSI-SE 2017
AU - Guzman, Emitza
AU - Ibrahim, Mohamed
AU - Glinz, Martin
PY - 2017/7/7
Y1 - 2017/7/7
N2 - Twitter messages (tweets) contain important information for software and requirements evolution, such as feature requests, bug reports and feature shortcoming descriptions. For this reason, Twitter is an important source for crowd-based requirements engineering and software evolution. However, a manual analysis of this information is unfeasible due to the large number of tweets, its unstructured nature and varying quality. Therefore, automatic analysis techniques are needed for, e.g., summarizing, classifying and prioritizing tweets. In this work we present a survey with 84 software engineering practitioners and researchers that studies the tweet attributes that are most telling of tweet priority when performing software evolution tasks. We believe that our results can be used to implement mechanisms for prioritizing user feedback with social components. Thus, it can be helpful for enhancing crowd-based requirements engineering and software evolution.
AB - Twitter messages (tweets) contain important information for software and requirements evolution, such as feature requests, bug reports and feature shortcoming descriptions. For this reason, Twitter is an important source for crowd-based requirements engineering and software evolution. However, a manual analysis of this information is unfeasible due to the large number of tweets, its unstructured nature and varying quality. Therefore, automatic analysis techniques are needed for, e.g., summarizing, classifying and prioritizing tweets. In this work we present a survey with 84 software engineering practitioners and researchers that studies the tweet attributes that are most telling of tweet priority when performing software evolution tasks. We believe that our results can be used to implement mechanisms for prioritizing user feedback with social components. Thus, it can be helpful for enhancing crowd-based requirements engineering and software evolution.
KW - crowd-based requirements engineering
KW - crowd-based software evolution
KW - user feedback
UR - https://www.scopus.com/pages/publications/85027030555
UR - https://www.scopus.com/pages/publications/85027030555#tab=citedBy
U2 - 10.1109/CSI-SE.2017.4
DO - 10.1109/CSI-SE.2017.4
M3 - Conference contribution
AN - SCOPUS:85027030555
T3 - Proceedings - 2017 IEEE/ACM 4th International Workshop on CrowdSourcing in Software Engineering, CSI-SE 2017
SP - 21
EP - 24
BT - Proceedings - 2017 IEEE/ACM 4th International Workshop on CrowdSourcing in Software Engineering, CSI-SE 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 22 May 2017
ER -