Modern software applications need to run on a variety of web and mobile platforms with diverse software and hardware-level features. Thus, developers of such software need to duplicate the testing and maintenance effort on a wide range of platforms. Often developers are not able to cope with this increasing demand and release software that is broken on certain platforms, thereby affecting a class of customers using such platforms. Hence, there is a need for automating such duplicate activities to assist the developer in coping with the ever increasing demand. The goal of my work is to improve the testing and maintenance of cross-platform web and mobile applications by developing automated techniques for comparing and matching the behavior of such applications across different platforms.
To achieve this goal, I have identified three problems that are relevant in the context of cross-platform testing and maintenance: 1) automated identification of inconsistencies in the same application's behavior across multiple platforms, 2) detecting features that are present in the application on one platform, but missing on another platform version of the same application, and, 3) automated migration of test suites and possibly other software artifacts across platforms. I present three different scenarios for the development of {cross-platform} web and mobile applications, and formulate each of the three problems in the scenario where it is most relevant. To address and mitigate these problems in their corresponding scenarios, I present the principled design, development and evaluation of the two techniques, and a third preliminary technique to highlight the research challenges of test migration. The first technique, X-pert identifies inconsistencies in a web application running on multiple web browsers. The second technique, FMAP matches features between the desktop and mobile versions of a web application and reports any features found missing on either of the platform versions. The final technique, MigraTest attempts to automatically migrate test cases from a mobile application on one platform to its counterpart on another platform.
To evaluate these techniques, I implemented them as prototype tools and ran these tools on real-world subject applications. The empirical evaluation of X-pert shows that it is accurate and effective in detecting real-world inconsistencies in web applications. In the case of FMAP, the results of my evaluation show that it was able to correctly identify missing features between desktop and mobile versions of the web applications considered, as confirmed by my analysis of user reports and software fixes for these applications. The third technique, MigraTest was able to efficiently migrate test cases between two mobile platform versions of the subject applications.
| Identifer | oai:union.ndltd.org:GATECH/oai:smartech.gatech.edu:1853/53588 |
| Date | 08 June 2015 |
| Creators | Roy Choudhary, Shauvik |
| Contributors | Orso, Alessandro |
| Publisher | Georgia Institute of Technology |
| Source Sets | Georgia Tech Electronic Thesis and Dissertation Archive |
| Language | en_US |
| Detected Language | English |
| Type | Dissertation |
| Format | application/pdf |
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