(2020) Testing Apps With Real-World Inputs.
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Abstract
To test mobile apps, one requires realistic and coherent test inputs. The Link approach for Web testing has shown that knowledge bases such as DBPedia can be a reliable source of semantically coherent inputs. In this paper, we adapt and extend the Link approach towards test generation for mobile applications: (1) We identify and match descriptive labels with input fields, based on the Gestalt principles of human perception; (2) We then use natural language processing techniques to extract the concept associated with the label; (3) We use this concept to query a knowledge base for candidate input values; (4) We cluster the UI elements according to their functionality into input and actions, filling the input elements first and then interacting with the actions. Our evaluation shows that leveraging knowledge bases for testing mobile apps with realistic inputs is effective. On average, our approach covered 9% more statements than randomly generated text inputs.
| Item Type: | Conference or Workshop Item (A Paper) (Paper) |
|---|---|
| Divisions: | Andreas Zeller (Software Engineering, ST) |
| Conference: | AST Automation of Software Test |
| Depositing User: | Nataniel Pereira Borges Jr. |
| Date Deposited: | 10 Mar 2020 13:52 |
| Last Modified: | 06 Nov 2020 11:29 |
| Primary Research Area: | NRA4: Secure Mobile and Autonomous Systems |
| URI: | https://publications.cispa.saarland/id/eprint/3034 |
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