3.8 Proceedings Paper

CoCoTest: Collaborative Crowdsourced Testing for Android Applications

Publisher

ASSOC COMPUTING MACHINERY
DOI: 10.1145/3293882.3339000

Keywords

Crowdsourced testing; mobile testing; collective intelligence

Funding

  1. National Key Research and Development Program of China [2018YFB1403400]
  2. National Natural Science Foundation of China [61690201, 61772014]

Ask authors/readers for more resources

Testing Android applications is becoming more and more challenging due to the notorious fragmentation issues and the complexity of usage scenarios in different environments. Crowdsourced testing has grown as a trend, especially in mobile application testing. However, due to the lack of professionalism and communication, the crowd workers tend to submit low-quality and duplicate bug reports, leading to a waste of test resources on inspecting and aggregating such reports. To solve these problems, we developed a platform, CoCoTest, embracing the idea of collective intelligence. With the help of CoCoTest Android SDK, workers can efficiently capture a screenshot, write a short description and create a bug report. A series of bug reports are aggregated online and then recommended to the other workers in real time. The crowdsourced workers can (1) help review, verify and enrich each others' bug reports; (2) escape duplicate bug reports; (3) be guided to conduct more professional testing with the help of collective intelligence. CoCoTest can improve the quality of the final report and reduce test costs. The demo video can be found at https://youtu.be/PuVuPbNP4tY.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

3.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available