TY  - GEN
N2  - This paper reports the results of the deployment of Rich-State Simulated Populations at Meta for both automated and manual testing. We use simulated users (aka test users) to mimic user interactions and acquire state in much the same way that real user accounts acquire state. For automated testing, we present empirical results from deployment on the Facebook, Messenger, and Instagram apps for iOS and Android Platforms. These apps consist of tens of millions of lines of code, communicating with hundreds of millions of lines of backend code, and are used by over 2 billion people every day. Our results reveal that rich state increases average code coverage by 38%, and endpoint coverage by 61%. More importantly, it also yields an average increase of 115% in the faults found by automated testing. The rich-state test user populations are also deployed in a (continually evolving) Test Universe; a web-enabled simulation platform for privacy-safe manual testing, which has been used by over 21,000 Meta engineers since its deployment in November 2022.
ID  - discovery10199776
UR  - https://doi.org/10.1145/3639477.3639729
EP  - 12
TI  - Enhancing Testing at Meta with Rich-State Simulated Populations
Y1  - 2024/05/31/
AV  - public
KW  - Software Testing
KW  -  Cyber Cyber Digital Twins
KW  -  Simulation-Based
Testing
KW  -  Machine Learning
PB  - ACM
A1  - Alshahwan, Nadia
A1  - Blasi, Arianna
A1  - Bojarczuk, Kinga
A1  - Ciancone, Andrea
A1  - Gucevska, Natalija
A1  - Harman, Mark
A1  - Krolikowski, Michal
A1  - Rojas, Rubmary
A1  - Martac, Dragos
A1  - Schellaert, Simon
A1  - Ustiuzhanina, Kate
A1  - Harper, Inna
A1  - Jia, Yue
A1  - Lewis, Will
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
SP  - 1
ER  -