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Evolutionary Study of Android Apps

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posted on 2024-07-12, 20:46 authored by Lihong TangLihong Tang
Android app evolutionary study reveals the dynamic changes of the apps as it focuses on temporal data analysis. Apart from high-level features, which can be obtained from analyzing the distribution of the temporal data. Detailed evolutionary changes can only be captured through behavioral analysis. Analysts are usually faced with the obstacle when conducting app behavior analyses because they need to have comprehensive knowledge. To address this problem, this thesis proposes a system based on app visualization to facilitate the analysis of app behavior and evolutionary study. Subsequently, two evolutionary studies of Android apps are conducted in this thesis.

History

Thesis type

  • Thesis (PhD)

Thesis note

A dissertation submitted in fulfilment of the requirements for the degree of Doctor of Philosophy in the Department of Computer Science and Software Engineering, Swinburne University of Technology, Melbourne, Australia, September 16, 2022.

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Copyright © 2022 Lihong Tang.

Supervisors

Yang Xiang

Language

eng

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