Towards a generic framework for automating extensive analysis of Android applications

Li Li, Daoyuan Li, Alexandre Bartel, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

4 Citations (Scopus)


Despite much effort in the community, the momentum of Android research has not yet produced complete tools to perform thorough analysis on Android apps, leaving users vulnerable to malicious apps. Because it is hard for a single tool to efficiently address all of the various challenges of Android programming which make analysis difficult, we propose to instrument the app code for reducing the analysis complexity, e.g., transforming a hard problem to a easy-resolvable one. To this end, we introduce in this paper Apkpler, a plugin-based framework for supporting such instrumentation. We evaluate Apkpler with two plugins, demonstrating the feasibility of our approach and showing that Apkpler can indeed be leveraged to reduce the analysis complexity of Android apps.

Original languageEnglish
Title of host publicationThe 31st Annual ACM Symposium on Applied Computing
EditorsJiman Hong, Maria Lencastre
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages6
ISBN (Electronic)9781450337397
Publication statusPublished - 2016
Externally publishedYes
EventACM Symposium on Applied Computing 2016 - Pisa, Italy
Duration: 4 Apr 20168 Apr 2016
Conference number: 31st


ConferenceACM Symposium on Applied Computing 2016
Abbreviated titleSAC 2016
Internet address


  • Android
  • Apkpler
  • Generic framework
  • Static analysis

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