Lune

ICSE2022Top-tier venue

Characterizing and Detecting Bugs in WeChat Mini-Programs

Tao Wang, Qingxin Xu, Xiaoning Chang, Wensheng Dou, Jiaxin Zhu, Jinhui Xie, Yuetang Deng, Jianbo Yang, Jiaheng Yang, Jun Wei, Tao Huang

2022Year
19Citations
7Top-tier citations

Abstract

Built on the WeChat social platform, WeChat Mini-Programs are widely used by more than 400 million users every day. Consequently, the reliability of Mini-Programs is particularly crucial. However, WeChat Mini-Programs suffer from various bugs related to execution environment, lifecycle management, asynchronous mechanism, etc. These bugs have seriously affected users' experience and caused serious impacts. In this paper, we conduct the first empirical study on 83 WeChat Mini-Program bugs, and perform an in-depth analysis of their root causes, impacts and fixes. From this study, we obtain many interesting findings that can open up new research directions for combating WeChat Mini-Program bugs. Based on the bug patterns found in our study, we further develop WeDetector to detect WeChat Mini-Program bugs. Our evaluation on 25 real-world Mini-Programs has found 11 previously unknown bugs, and 7 of them have been confirmed by developers.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext f013fa04-5fd3-4ab1-ade5-b3c8298ea9bb

Cited by top-tier papers7

Ask how each one uses it

Builds on4

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines