Mobolic : an automated approach to exercising mobile application GUIs using symbiosis of online testing technique and customated input generation
The increasingly prevalent use of mobile devices has raised the popularity of mobile applications. Therefore, automated testing of mobile applications has become an extremely important task. However, it is still a challenge to automatically generate tests with high coverage for mobile applications d...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/138061 |
| _version_ | 1811682515639861248 |
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| author | Arnatovich, Yauhen Leanidavich Wang, Lipo Ngo, Ngoc Minh Soh, Charlie |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Arnatovich, Yauhen Leanidavich Wang, Lipo Ngo, Ngoc Minh Soh, Charlie |
| author_sort | Arnatovich, Yauhen Leanidavich |
| collection | NTU |
| description | The increasingly prevalent use of mobile devices has raised the popularity of mobile applications. Therefore, automated testing of mobile applications has become an extremely important task. However, it is still a challenge to automatically generate tests with high coverage for mobile applications due to their specific nontrivial structure and the highly interactive nature of graphical user interfaces (GUIs). In this paper, we propose a novel automated GUI testing technique for mobile applications, namely, Mobolic. In this approach, tests with high coverage are automatically generated and executed by combining the online testing technique and customated input generation. Employing the online testing technique, Mobolic systematically explores the app GUI without falling in a loop. It generates relevant events “on the fly” that are followed by an immediate execution. In addition, involving the customated input generation, Mobolic automatically generates relevant user inputs such as user-predefined, concrete, or random ones. We implemented Mobolic and evaluated its performance on 10 real-world open-source Android applications. Our experimental results show the effectiveness and efficiency of Mobolic in terms of achieved code coverage and overall exercising time. |
| first_indexed | 2024-10-01T03:58:04Z |
| format | Journal Article |
| id | ntu-10356/138061 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:58:04Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1380612020-04-23T02:41:41Z Mobolic : an automated approach to exercising mobile application GUIs using symbiosis of online testing technique and customated input generation Arnatovich, Yauhen Leanidavich Wang, Lipo Ngo, Ngoc Minh Soh, Charlie School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Event‐driven FSM Model‐based testing The increasingly prevalent use of mobile devices has raised the popularity of mobile applications. Therefore, automated testing of mobile applications has become an extremely important task. However, it is still a challenge to automatically generate tests with high coverage for mobile applications due to their specific nontrivial structure and the highly interactive nature of graphical user interfaces (GUIs). In this paper, we propose a novel automated GUI testing technique for mobile applications, namely, Mobolic. In this approach, tests with high coverage are automatically generated and executed by combining the online testing technique and customated input generation. Employing the online testing technique, Mobolic systematically explores the app GUI without falling in a loop. It generates relevant events “on the fly” that are followed by an immediate execution. In addition, involving the customated input generation, Mobolic automatically generates relevant user inputs such as user-predefined, concrete, or random ones. We implemented Mobolic and evaluated its performance on 10 real-world open-source Android applications. Our experimental results show the effectiveness and efficiency of Mobolic in terms of achieved code coverage and overall exercising time. 2020-04-23T02:41:41Z 2020-04-23T02:41:41Z 2018 Journal Article Arnatovich, Y. L., Wang, L., Ngo, N. M., & Soh, C. (2018). Mobolic : an automated approach to exercising mobile application GUIs using symbiosis of online testing technique and customated input generation. Software - Practice and Experience, 48(5), 1107-1142. doi:10.1002/spe.2564 0038-0644 https://hdl.handle.net/10356/138061 10.1002/spe.2564 2-s2.0-85041495358 5 48 1107 1142 en Software - Practice and Experience © 2018 John Wiley & Sons, Ltd. All rights reserved. |
| spellingShingle | Engineering::Electrical and electronic engineering Event‐driven FSM Model‐based testing Arnatovich, Yauhen Leanidavich Wang, Lipo Ngo, Ngoc Minh Soh, Charlie Mobolic : an automated approach to exercising mobile application GUIs using symbiosis of online testing technique and customated input generation |
| title | Mobolic : an automated approach to exercising mobile application GUIs using symbiosis of online testing technique and customated input generation |
| title_full | Mobolic : an automated approach to exercising mobile application GUIs using symbiosis of online testing technique and customated input generation |
| title_fullStr | Mobolic : an automated approach to exercising mobile application GUIs using symbiosis of online testing technique and customated input generation |
| title_full_unstemmed | Mobolic : an automated approach to exercising mobile application GUIs using symbiosis of online testing technique and customated input generation |
| title_short | Mobolic : an automated approach to exercising mobile application GUIs using symbiosis of online testing technique and customated input generation |
| title_sort | mobolic an automated approach to exercising mobile application guis using symbiosis of online testing technique and customated input generation |
| topic | Engineering::Electrical and electronic engineering Event‐driven FSM Model‐based testing |
| url | https://hdl.handle.net/10356/138061 |
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