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DiagDroid: Android performance diagnosis via anatomizing asynchronous executions

  • Published:2016-11 Issue: Volume: Page:
  • ISSN:
  • Container-title:Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering
  • language:
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Author:

Kang Yu1,Zhou Yangfan2,Xu Hui1,Lyu Michael R.1

Affiliation:

1. Chinese University of Hong Kong, China

2. Fudan University, China

Funder

National Natural Science Foundation of China

Research Grants Council of the Hong Kong Special Administrative Region

2015 Microsoft Research Asia Collaborative Research Program

National Basic Research Program of China

Publisher

ACM

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1. Understanding and Detecting Inefficient Image Displaying Issues in Android Apps;Journal of Computer Science and Technology;2024-03

2. Detection of Java Basic Thread Misuses Based on Static Event Analysis;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

3. AppSPIN: reconfiguration-based responsiveness testing and diagnosing for Android Apps;Automated Software Engineering;2022-07-05

4. How resource utilization influences UI responsiveness of Android software;Information and Software Technology;2022-01

5. Dynamic Detection of AsyncTask Related Defects;2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS);2021-12
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