WallMauer: Robust Code Coverage Instrumentation for Android Apps

被引:0
作者
Auer, Michael [1 ]
Arcuschin Moreno, Iván [2 ]
Fraser, Gordon [1 ]
机构
[1] University of Passau, Passau, Germany
[2] DC, UBA, Buenos Aires, Argentina
来源
Proceedings - 2024 IEEE/ACM International Conference on Automation of Software Test, AST 2024 |
关键词
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
Android (operating system) - Open source software - Software testing
引用
收藏
页码:34 / 44
相关论文
共 8 条
  • [1] Automatically Distilling Storyboard with Rich Features for Android Apps
    Chen, Sen
    Fan, Lingling
    Chen, Chunyang
    Liu, Yang
    arXiv, 2022,
  • [2] The Dark Side of Native Code on Android
    Ruggia, Antonio
    Possemato, Andrea
    Dambra, Savino
    Merlo, Alessio
    Aonzo, Simone
    Balzarotti, Davide
    TechRxiv, 2022,
  • [3] ReuNify: A Step Towards Whole Program Analysis for React Native Android Apps
    Liu, Yonghui
    Chen, Xiao
    Liu, Pei
    Grundy, John
    Chen, Chunyang
    Li, Li
    Proceedings - 2023 38th IEEE/ACM International Conference on Automated Software Engineering, ASE 2023, 2023, : 1390 - 1402
  • [4] BFEDroid: A Feature Selection Technique to Detect Malware in Android Apps Using Machine Learning
    Chimeleze, Collins
    Jamil, Norziana
    Ismail, Roslan
    Lam, Kwok-Yan
    Teh, Je Sen
    Samual, Joshua
    Okeke, Chidiebere Akachukwu
    SECURITY AND COMMUNICATION NETWORKS, 2022, 2022
  • [5] Effective code coverage in compositional systematic dynamic testing
    Wan, Zhiyuan
    Zhou, Bo
    Proceedings - 2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2011, 2011, 1 : 173 - 176
  • [6] Characterizing the transition to kotlin of android apps: A study on F-Droid, Play Store, and GitHub
    Coppola, Riccardo
    Ardito, Luca
    Torchiano, Marco
    WAMA 2019 - Proceedings of the 3rd ACM SIGSOFT International Workshop on App Market Analytics, co-located with ESEC/FSE 2019, 2019, : 8 - 14
  • [7] The Mechanism of Generating the Automated Java Unit Test Cases by Achieving Maximum Code Coverage
    Avadhani, Bindu
    Giri, Saumya Ranjan
    Pulipati, Venkateswara Rao
    Learning and Analytics in Intelligent Systems, 2021, 20 : 41 - 56
  • [8] A Multi-factorial Code Coverage Based Test Case Selection and Prioritization for Object Oriented Programs
    Vats, Prashant
    Aalam, Zunaid
    Kaur, Satnam
    Kaur, Amritpal
    Kaur, Saravjit
    Advances in Intelligent Systems and Computing, 2021, 1270 : 721 - 731