Fetching the paper…
Reading the bibliography…
Testing Android apps effectively requires a systematic exploration of the app's possible states by simulating user interactions and system events.
Emma: Java code coverage tool, 2006
V Rubtsov · 2006
Earlier work this paper cites.
Using gui ripping for automated testing of android applications
Domenico Amalfitano, Anna Rita Fasolino, Porfirio Tramontana, Salvatore De Carmine, and Atif M Memon · 2012
Earlier work this paper cites.
Automated concolic testing of smartphone apps
Saswat Anand, Mayur Naik, Mary Jean Harrold, and Hongseok Yang · 2012
Earlier work this paper cites.
Targeted and depth-first exploration for systematic testing of android apps
Tanzirul Azim and Iulian Neamtiu · 2013
Earlier work this paper cites.
Guided gui testing of android apps with minimal restart and approximate learning
Wontae Choi, George Necula, and Koushik Sen · 2013
Earlier work this paper cites.
Dynodroid: An input generation system for android apps
Aravind Machiry, Rohan Tahiliani, and Mayur Naik · 2013
Earlier work this paper cites.
A grey-box approach for automated gui-model generation of mobile applications
Wei Yang, Mukul R Prasad, and Tao Xie · 2013
Earlier work this paper cites.
Droidfuzzer: Fuzzing the android apps with intent-filter tag
Hui Ye, Shaoyin Cheng, Lanbo Zhang, and Fan Jiang · 2013
Earlier work this paper cites.
Mobiguitar: Automated model-based testing of mobile apps
Domenico Amalfitano, Anna Rita Fasolino, Porfirio Tramontana, Bryan Dzung Ta, and Atif M Memon · 2014
Earlier work this paper cites.
Puma: Programmable ui-automation for large-scale dynamic analysis of mobile apps
Shuai Hao, Bin Liu, Suman Nath, William GJ Halfond, and Ramesh Govindan · 2014
Earlier work this paper cites.
Evodroid: Segmented evolutionary testing of android apps
Riyadh Mahmood, Nariman Mirzaei, and Sam Malek · 2014
Earlier work this paper cites.
Intent fuzzer: crafting intents of death
Raimondas Sasnauskas and John Regehr · 2014
Cited alongside, same era.
Automated test input generation for android: Are we there yet?(e)
Shauvik Roy Choudhary, Alessandra Gorla, and Alessandro Orso · 2015
Cited alongside, same era.
Sapienz: Multi-objective automated testing for android applications
Ke Mao, Mark Harman, and Yue Jia · 2016
Cited alongside, same era.
Droidbot: a lightweight ui-guided test input generator for android
Yuanchun Li, Ziyue Yang, Yao Guo, and Xiangqun Chen · 2017
Cited alongside, same era.
Crashscope: A practical tool for automated testing of android applications
Kevin Moran, Mario Linares-Vásquez, Carlos Bernal-Cárdenas, Christopher Vendome, and Denys Poshyvanyk · 2017
Cited alongside, same era.
Guided, stochastic model-based gui testing of android apps
Ting Su, Guozhu Meng, Yuting Chen, Ke Wu, Weiming Yang, Yao Yao, Geguang Pu, Yang Liu, and Zhendong Su · 2017
Reinforcement learning based curiosity-driven testing of android applications
Minxue Pan, An Huang, Guoxin Wang, Tian Zhang, and Xuandong Li · 2020
Later among the works it cites.
Deep gui: Black-box gui input generation with deep learning
Faraz YazdaniBanafsheDaragh and Sam Malek · 2021
Later among the works it cites.
Mubot: Learning to test large-scale commercial android apps like a human
Chao Peng, Zhao Zhang, Zhengwei Lv, and Ping Yang · 2022
Later among the works it cites.
Deep reinforcement learning for black-box testing of android apps
Andrea Romdhana, Alessio Merlo, Mariano Ceccato, and Paolo Tonella · 2022
Later among the works it cites.
Appagent: Multimodal agents as smartphone users
Chi Zhang, Zhao Yang, Jiaxuan Liu, Yucheng Han, Xin Chen, Zebiao Huang, Bin Fu, and Gang Yu · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
A practical intent fuzzing tool for robustness of inter-component communication in android apps
Kwanghoon Choi, Myungpil Ko, and Byeong-Mo Chang · 2018
Cited alongside, same era.
Practical gui testing of android applications via model abstraction and refinement
Tianxiao Gu, Chengnian Sun, Xiaoxing Ma, Chun Cao, Chang Xu, Yuan Yao, Qirun Zhang, Jian Lu, and Zhendong Su · 2019
Cited alongside, same era.
Humanoid: A deep learning-based approach to automated black-box android app testing
Yuanchun Li, Ziyue Yang, Yao Guo, and Xiangqun Chen · 2019
Cited alongside, same era.
Security analysis of permission re-delegation vulnerabilities in android apps
Biniam Fisseha Demissie, Mariano Ceccato, and Lwin Khin Shar · 2020
Cited alongside, same era.
Time-travel testing of android apps
Zhen Dong, Marcel Böhme, Lucia Cojocaru, and Abhik Roychoudhury · 2020
Cited alongside, same era.
Ui/application exerciser monkey
Android
Cited in the paper.
Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, and Yiling Lou · 2024
Later among the works it cites.
Wildvision arena : Benchmarking multimodal llms in the wild
Hugging Face · 2024
Later among the works it cites.
Prompting is all you need: Automated android bug replay with large language models
Sidong Feng and Chunyang Chen · 2024
Later among the works it cites.
Gpt-4-vision
OpenAI · 2024
Later among the works it cites.
Code-aware prompting: A study of coverage-guided test generation in regression setting using llm
Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, and Baishakhi Ray · 2024
Later among the works it cites.