Multi-objective improvement of Android applications

Created by W.Langdon from gp-bibliography.bib Revision:1.8098

@Article{Callan:2025:ASE,

• author = "James Callan and Justyna Petke",
• title = "Multi-objective improvement of Android applications",
• journal = "Automated Software Engineering",
• year = "2025",
• volume = "32",
• pages = "article number 2",
• note = "Accepted 04 Nov 2024",
• keywords = "genetic algorithms, genetic programming, genetic improvement, Android apps, Multi-objective optimization, Search-based software engineering",
• ISSN = "0928-8910",
• URL = "https://rdcu.be/d0UCc",
• DOI = "doi:10.1007/s10515-024-00472-7",
• code_url = "https://github.com/SOLAR-group/GIDroid",
• size = "36 pages",
• abstract = "Non-functional properties, such as runtime or memory use, are important to mobile app users and developers, as they affect user experience. We propose a practical approach and the first open-source tool, GIDroid for multi-objective automated improvement of Android apps. In particular, we use Genetic Improvement, a search-based technique that navigates the space of software variants to find improved software. We use a simulation-based testing framework to greatly improve the speed of search. GIDroid contains three state-of-the-art multi-objective algorithms, and two new mutation operators, which cache the results of method calls. Genetic Improvement relies on testing to validate patches. Previous work showed that tests in open-source Android applications are scarce. We thus wrote tests for 21 versions of 7 Android apps, creating a new benchmark for performance improvements. We used GIDroid to improve versions of mobile apps where developers had previously found improvements to run-time, memory, and bandwidth use. Our technique automatically re-discovers 64percent of existing improvements. We then applied our approach to current versions of software in which there were no known improvements. We were able to improve execution time by up to 35percent, and memory use by up to 33percent in these apps.",
• notes = "Computer Science Department, University College London, Gower Street, London, Greater London WC1E 6BT, UK",

}

Genetic Programming entries for James Callan Justyna Petke

Citations