Abstract | ||
---|---|---|
In recent years, mobile applications market develop rapidly, especially in China. A large number of mobile applications are developed and applied in various fields, forming a huge market. The crowd-based mobile app testing provides a new method for mobile application quality assurance and testing services, which will also obtain huge market and development opportunities. In this paper, a survey is provided on existing research of crowd-based mobile app testing. First of all, the component, testing type and definition of mobile application crowdsourced test are introduced, and the advantages and disadvantages of crowd-based mobile app testing are summarized. Then, the framework and work flow of crowdsourcing for mobile applications are explained. Furthermore, three core research problems are discussed. Finally, possible research directions of crowd-based mobile app testing and related references are given.
|
Year | DOI | Venue |
---|---|---|
2019 | 10.1145/3318299.3318312 | Proceedings of the 2019 11th International Conference on Machine Learning and Computing |
Keywords | DocType | ISBN |
Crowd-based mobile app testing, incentive mechanism, quality control, task recommendation | Conference | 978-1-4503-6600-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ying Liu | 1 | 0 | 0.34 |
Tao Zhang | 2 | 2 | 1.77 |
Jing Cheng | 3 | 50 | 14.53 |