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ICSE 2022
Sun 8 - Fri 27 May 2022
Mon 9 May 2022 21:05 - 21:10 at ICSE room 1-odd hours - Apps and App Store Analysis 1 Chair(s): John Grundy
Tue 10 May 2022 04:20 - 04:25 at ICSE room 3-even hours - Apps and Security Chair(s): Alessio Ferrari

User reviews of mobile apps provide a communication channel for developers to perceive user satisfaction. Many app features that users have problems with are usually expressed by key phrases such as “upload pictures”, which could be buried in the review texts. The lack of fine-grained view about problematic features could obscure the developers’ understanding of where the app is frustrating users, and postpones the improvement of the apps. Existing pattern-based approaches to extracting target phrases suffer from low accuracy due to insufficient semantic understanding of the reviews, thus can only summarize the high-level topics/aspects of the reviews. This paper proposes a semantic-aware, fine-grained app review analysis approach (SIRA) to extract, cluster, and visualize the problematic features of apps. The main component of SIRA is a novel BERT+Attr-CRF model for fine-grained problematic feature extraction, which combines textual descriptions and review attributes to better model the semantics of reviews and boost the performance of the traditional BERT-CRF model. SIRA also clusters the extracted phrases based on their semantic relations and presents a visualization of the summaries. Our evaluation on 3,426 reviews from six apps confirms the effectiveness of SIRA in problematic feature extraction. We further conduct an empirical study with SIRA on 318,534 reviews of 18 popular apps to explore its potential application and examine its usefulness in real-world practice.

Mon 9 May

Displayed time zone: Eastern Time (US & Canada) change

21:00 - 22:00
Apps and App Store Analysis 1Technical Track at ICSE room 1-odd hours
Chair(s): John Grundy Monash University
21:00
5m
Talk
JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis
Technical Track
Jordan Samhi University of Luxembourg, Jun Gao University of Luxembourg, Luxembourg, Nadia Daoudi University of Luxembourg, Pierre Graux University of Luxembourg, Henri Hoyez , Xiaoyu Sun Monash University, Kevin Allix University of Luxembourg, Tegawendé F. Bissyandé SnT, University of Luxembourg, Jacques Klein University of Luxembourg
DOI Pre-print Media Attached
21:05
5m
Talk
Where is Your App Frustrating Users?
Technical Track
Yawen Wang Institute of Software, Chinese Academy of Sciences, Junjie Wang Institute of Software at Chinese Academy of Sciences, Hongyu Zhang University of Newcastle, Xuran Ming Institute of Software, Chinese Academy of Sciences, Lin Shi Institute of Software at Chinese Academy of Sciences, Qing Wang Institute of Software at Chinese Academy of Sciences
DOI Pre-print Media Attached
21:10
5m
Talk
Towards Automatically Repairing Compatibility Issues in Published Android Apps
Technical Track
Yanjie Zhao Monash University, Li Li Monash University, Kui Liu Nanjing University of Aeronautics and Astronautics, China, John Grundy Monash University
Pre-print Media Attached
21:15
5m
Talk
Difuzer: Uncovering Suspicious Hidden Sensitive Operations in Android Apps
Technical Track
Jordan Samhi University of Luxembourg, Li Li Monash University, Tegawendé F. Bissyandé SnT, University of Luxembourg, Jacques Klein University of Luxembourg
DOI Pre-print Media Attached

Tue 10 May

Displayed time zone: Eastern Time (US & Canada) change

04:00 - 05:00
04:00
5m
Talk
An Empirical Study on Implicit Constraints in Smart Contract Static Analysis
SEIP - Software Engineering in Practice
Tingting Yin Tsinghua University, China, Chao Zhang Tsinghua University, Yuandong Ni Institute for Network Science and Cyberspace of Tsinghua University, Yixiong Wu Institute for Network Science and Cyberspace of Tsinghua University, Taiyu Wong Department of Computer Science and Technology, Tsinghua University, Xiapu Luo Hong Kong Polytechnic University, Zheming Li Tsinghua University, Yu Guo SECBIT labs
Pre-print Media Attached
04:05
5m
Talk
Automated Detection of Password Leakage from Public GitHub RepositoriesNominated for Distinguished Paper
Technical Track
Runhan Feng Shanghai Jiao Tong University, Ziyang Yan Shanghai Jiao Tong University, Shiyan Peng Shanghai Jiao Tong University, Yuanyuan Zhang Shanghai Jiao Tong University
Pre-print Media Attached
04:10
5m
Talk
Log-based Anomaly Detection with Deep Learning: How Far Are We
Technical Track
Van-Hoang Le The University of Newcastle, Hongyu Zhang University of Newcastle
DOI Pre-print
04:15
5m
Talk
RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation
Technical Track
Zhen Li University of Texas at San Antonio, Guenevere (Qian) Chen University of Texas at San Antonio, Chen Chen University of Central Florida, Yayi Zou Northeastern University, Shouhuai Xu University of Colorado Colorado Springs
Pre-print Media Attached
04:20
5m
Talk
Where is Your App Frustrating Users?
Technical Track
Yawen Wang Institute of Software, Chinese Academy of Sciences, Junjie Wang Institute of Software at Chinese Academy of Sciences, Hongyu Zhang University of Newcastle, Xuran Ming Institute of Software, Chinese Academy of Sciences, Lin Shi Institute of Software at Chinese Academy of Sciences, Qing Wang Institute of Software at Chinese Academy of Sciences
DOI Pre-print Media Attached
04:25
5m
Talk
Towards Automatically Repairing Compatibility Issues in Published Android Apps
Technical Track
Yanjie Zhao Monash University, Li Li Monash University, Kui Liu Nanjing University of Aeronautics and Astronautics, China, John Grundy Monash University
Pre-print Media Attached

Information for Participants
Mon 9 May 2022 21:00 - 22:00 at ICSE room 1-odd hours - Apps and App Store Analysis 1 Chair(s): John Grundy
Info for room ICSE room 1-odd hours:

Click here to go to the room on Midspace

Tue 10 May 2022 04:00 - 05:00 at ICSE room 3-even hours - Apps and Security Chair(s): Alessio Ferrari
Info for room ICSE room 3-even hours:

Click here to go to the room on Midspace