Copertina

Challenges in Android Data Disclosure: An Empirical Study

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Khedkar, Mugdha, Schlichtig, Michael, Soliman, Mohamed, Bodden, Eric
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Visualizing Privacy-Relevant Data Flows in Android Applications
di: Khedkar, Mugdha, et al.
Pubblicazione: (2025)

Toward an Android Static Analysis Approach for Data Protection
di: Khedkar, Mugdha, et al.
Pubblicazione: (2024)

Advancing Android Privacy Assessments with Automation
di: Khedkar, Mugdha, et al.
Pubblicazione: (2024)

FP-Predictor - False Positive Prediction for Static Analysis Reports
di: Ohlmer, Tom, et al.
Pubblicazione: (2026)

Supporting Error Chains in Static Analysis for Precise Evaluation Results and Enhanced Usability
di: Wickert, Anna-Katharina, et al.
Pubblicazione: (2024)

Do Android App Developers Accurately Report Collection of Privacy-Related Data?
di: Khedkar, Mugdha, et al.
Pubblicazione: (2024)

Symbol-Specific Sparsification of Interprocedural Distributive Environment Problems
di: Karakaya, Kadiray, et al.
Pubblicazione: (2024)

Do Privacy Policies Match with the Logs? An Empirical Study of Privacy Disclosure in Android Application Logs
di: Chen, Zhiyuan, et al.
Pubblicazione: (2026)

An Empirical Study of Large Language Models for Type and Call Graph Analysis in Python and JavaScript
di: Venkatesh, Ashwin Prasad Shivarpatna, et al.
Pubblicazione: (2024)

Diagnosing and Resolving Android Applications Building Issues: An Empirical Study
di: Bodepudi, Lakshmi Priya, et al.
Pubblicazione: (2025)

Characterizing Bugs in Login Processes of Android Applications: An Empirical Study
di: Zhou, Zixu, et al.
Pubblicazione: (2025)

Is Your Private Information Logged? An Empirical Study on Android App Logs
di: Chen, Zhiyuan, et al.
Pubblicazione: (2026)

CI/CD Configuration Practices in Open-Source Android Apps: An Empirical Study
di: Ghaleb, Taher A., et al.
Pubblicazione: (2024)

Keep Me Updated: An Empirical Study of Proprietary Vendor Blobs in Android Firmware
di: Wen, Elliott, et al.
Pubblicazione: (2024)

Role of CI Adoption in Mobile App Success: An Empirical Study of Open-Source Android Projects
di: Zhou, Xiaoxin, et al.
Pubblicazione: (2026)

Anonymizing Test Data in Android: Does It Hurt?
di: Masserini, Elena, et al.
Pubblicazione: (2024)

An Empirical Study on Challenges for LLM Application Developers
di: Chen, Xiang, et al.
Pubblicazione: (2024)

The Emergence of Large Language Models in Static Analysis: A First Look through Micro-Benchmarks
di: Venkatesh, Ashwin Prasad Shivarpatna, et al.
Pubblicazione: (2024)

A Soundness and Precision Benchmark for Java Debloating Tools
di: Klauke, Jonas, et al.
Pubblicazione: (2025)

What Slows Down FMware Development? An Empirical Study of Developer Challenges and Resolution Times
di: Wang, Zitao, et al.
Pubblicazione: (2025)

Static Analysis Driven Enhancements for Comprehension in Machine Learning Notebooks
di: Venkatesh, Ashwin Prasad Shivarpatna, et al.
Pubblicazione: (2023)

Understanding the Challenges and Opportunities of Generative AI Apps: An Empirical Study
di: AlMulla, Buthayna, et al.
Pubblicazione: (2025)

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities
di: Yang, Zezhou, et al.
Pubblicazione: (2025)

Sustainability Flags for the Identification of Sustainability Posts in Q&A Platforms
di: Ahmadisakha, Sahar, et al.
Pubblicazione: (2025)

A Comparative Study of Full Apps and Lite Apps for Android
di: Tang, Yutian, et al.
Pubblicazione: (2025)

From Detection to Prevention: Explaining Security-Critical Code to Avoid Vulnerabilities
di: Krishnamurthy, Ranjith, et al.
Pubblicazione: (2026)

TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools
di: Venkatesh, Ashwin Prasad Shivarpatna, et al.
Pubblicazione: (2023)

Call Graph Soundness in Android Static Analysis
di: Samhi, Jordan, et al.
Pubblicazione: (2024)

AI builds, We Analyze: An Empirical Study of AI-Generated Build Code Quality
di: Ghammam, Anwar, et al.
Pubblicazione: (2026)

LDMDroid: Leveraging LLMs for Detecting Data Manipulation Errors in Android Apps
di: Xiao, Xiangyang, et al.
Pubblicazione: (2026)

Uncovering Hidden Inclusions of Vulnerable Dependencies in Real-World Java Projects
di: Schott, Stefan, et al.
Pubblicazione: (2026)

Common Challenges of Deep Reinforcement Learning Applications Development: An Empirical Study
di: Morovati, Mohammad Mehdi, et al.
Pubblicazione: (2023)

Bytecode-centric Detection of Known-to-be-vulnerable Dependencies in Java Projects
di: Schott, Stefan, et al.
Pubblicazione: (2025)

Compilation of Commit Changes within Java Source Code Repositories
di: Schott, Stefan, et al.
Pubblicazione: (2024)

An Empirical Study of GenAI Adoption in Open-Source Game Development: Tools, Tasks, and Developer Challenges
di: Chen, Xiang Echo, et al.
Pubblicazione: (2025)

GDPR-Bench-Android: A Benchmark for Evaluating Automated GDPR Compliance Detection in Android
di: Ran, Huaijin, et al.
Pubblicazione: (2025)

An Empirical Study on Challenges of Event Management in Microservice Architectures
di: Laigner, Rodrigo, et al.
Pubblicazione: (2024)

An Empirical Study of Developers' Challenges in Implementing Workflows as Code: A Case Study on Apache Airflow
di: Yasmin, Jerin, et al.
Pubblicazione: (2024)

Hot Topics and Common Challenges: an Empirical Study of React Discussions on Stack Overflow
di: Nugroho, Yusuf Sulistyo, et al.
Pubblicazione: (2025)

An Empirical Study of API Misuses of Data-Centric Libraries
di: Galappaththi, Akalanka, et al.
Pubblicazione: (2024)