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Area of Science:

  • Software Engineering
  • Mobile Application Security
  • Computer Systems

Background:

  • Android applications utilize shared resources (sensors, camera, GPS) governed by usage policies.
  • Failure to adhere to these policies can lead to resource leaks, where resources are acquired but not released, causing functional issues or battery drain.
  • Existing research on resource leak detection lacks standardized benchmarks, hindering comparative analysis and increasing researcher workload.

Purpose of the Study:

  • To establish a public benchmark, named AppLeak, for Android applications suffering from resource leaks.
  • To facilitate the evaluation and comparison of diverse resource leak detection and fixing techniques.
  • To reduce the burden on researchers by providing a readily available dataset.

Main Methods:

  • Development of a public benchmark comprising faulty Android applications.
  • Inclusion of fixed versions of the apps, where available.
  • Creation of test cases for automated reproduction of resource leaks.
  • Compilation of supplementary information to assist researchers.

Main Results:

  • The AppLeak benchmark is publicly accessible on GitLab.
  • It contains a collection of 40 distinct resource leak faults.
  • The benchmark supports both static and dynamic analysis techniques for evaluation.

Conclusions:

  • AppLeak provides a standardized dataset for the Android resource leak research community.
  • The benchmark enables more reliable and efficient comparison of detection and fixing methodologies.
  • It aims to advance the field by simplifying the verification process for new techniques.