Search-Based Test Generation Targeting Non-Functional Quality Attributes of Android Apps
Paper in proceeding, 2023
We propose a flexible multi-objective search-based test generation framework for interface testing of Android apps---STGFA-SMOG. This framework allows testers to target a variety of fitness functions, corresponding to different software quality attributes, code coverage, and other test case properties. We find that STGFA-SMOG outperforms random test generation in exposing potential quality issues and triggering crashes. Our study also offers insights on how different combinations of fitness functions can affect test generation for Android apps.
Software Quality
Search-Based Software Engineering
Automated Test Generation
Search-Based Test Generation
Quality Attributes
Author
Teklit Berihu Gereziher
Student at Chalmers
Selam Welu Gebrekrstos
Student at Chalmers
Gregory Gay
University of Gothenburg
GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference
9798400701191 (ISBN)
Porto, Portugal,
Context-Infused Automated Software Test Generation
Swedish Research Council (VR) (2019-05275), 2020-01-01 -- 2023-12-31.
Subject Categories
Software Engineering
Information Science
Computer Science
DOI
10.1145/3583131.3590449
ISBN
9798400701191