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ICPC 2021
Tue 18 - Thu 20 May 2021
co-located with ICSE 2021

Sentiment analysis on software engineering (SE) texts has been widely used in the SE research, such as evaluating app reviews or analyzing developers’ sentiments in commit messages. To better support the use of automated sentiment analysis for SE tasks, researchers built an SE-domain-specified sentiment dictionary to further improve the accuracy of the results. Unfortunately, recent work reported that current mainstream tools for sentiment analysis still cannot provide reliable results when analyzing the sentiments in SE texts. We suggest that the reason for this situation is because the way of expressing sentiments in SE texts is largely different from the way in social network or movie comments. In this paper, we propose to improve sentiment analysis in SE texts by using sentence structures, a different perspective from building a domain dictionary. Specifically, we use sentence structures to first identify whether the author is expressing her sentiment in a given clause of an SE text, and to further adjust the calculation of sentiments which are confirmed in the clause. An empirical evaluation based on four different datasets shows that our approach can outperform two dictionary-based baseline approaches, and is more generalizable compared to a learning-based baseline approach.

Wed 19 May

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

02:40 - 03:10
Text Analysis for Program ComprehensionResearch / Replications and Negative Results (RENE) at ICPC Main Room
Chair(s): Gema Rodríguez-Pérez University of Waterloo, Canada
02:40
10m
Paper
Exploiting the Unique Expression for Improved Sentiment Analysis in Software Engineering Text
Research
Kexin Sun , Hui Gao Nanjing University, Hongyu Kuang Nanjing University, Xiaoxing Ma Nanjing University, Guoping Rong Nanjing University, Dong Shao Nanjing University, He Zhang Nanjing University
Pre-print Media Attached
02:50
10m
Paper
Predicting Community Smells’ Occurrence on Individual Developers by Sentiments
Research
Zijie Huang East China University of Science and Technology, Zhiqing Shao , Guisheng Fan , Jianhua Gao , Ziyi Zhou , Kang Yang , Xingguang Yang
Pre-print Media Attached
03:00
10m
Paper
Checking App Behavior Against App Descriptions: What If There are No App Descriptions?
Replications and Negative Results (RENE)
Md. Shamsujjoha Monash University, Australia, John Grundy Monash University, Li Li Monash University, Hourieh Khalajzadeh Monash University, Australia, Qinghua Lu
Pre-print Media Attached

Information for Participants
Wed 19 May 2021 02:40 - 03:10 at ICPC Main Room - Text Analysis for Program Comprehension Chair(s): Gema Rodríguez-Pérez
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