Template matching Applied to IOT automation test
碩士 === 國立交通大學 === 資訊學院資訊學程 === 104 === There will be a growing number of IoT products nowadays that causes fiercely competitive market cutting product development time. Thus, automation test plays an important role to help QA engineers to do their test more efficiently. Today, many IoT products can...
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ndltd-TW-104NCTU53920092017-09-24T04:40:58Z http://ndltd.ncl.edu.tw/handle/12881007122404440474 Template matching Applied to IOT automation test 應用模板匹配於物聯網自動化測試之研究 Lin, Chen-Ying 林辰穎 碩士 國立交通大學 資訊學院資訊學程 104 There will be a growing number of IoT products nowadays that causes fiercely competitive market cutting product development time. Thus, automation test plays an important role to help QA engineers to do their test more efficiently. Today, many IoT products can monitor and control devices from smartphone app that is quite different from CLI (Command Line Interface) and GUI (Graphic User Interface) being used before. Smartphone-app control also comes along with a lot of app automation test researches. Therefore, I integrated Template matching technique with app automation test to test IoT devices by seeing. This method lets test coverage to increase. From this research, I used Appium controlling app and the phone to get the image and then do image matching to verify behavior of the devices. The experiments are conducted by two products- smart plug and home camera. One example of the former is that when app shows the plug is turned on, but actually is not. The test can calculate the coverage by this case. Another example of the latter, the home camera, is to check if the screen keeps on video recording. The goal of this research is to observe good template image and target image applying template matching to IoT automation test for a long period of time. And then to compare template matching with SIFT in order to prove that template matching is more suitable for IoT automation test. Sun, Chuen-Tsai 孫春在 2016 學位論文 ; thesis 52 zh-TW |
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碩士 === 國立交通大學 === 資訊學院資訊學程 === 104 === There will be a growing number of IoT products nowadays that causes fiercely competitive market cutting product development time. Thus, automation test plays an important role to help QA engineers to do their test more efficiently. Today, many IoT products can monitor and control devices from smartphone app that is quite different from CLI (Command Line Interface) and GUI (Graphic User Interface) being used before. Smartphone-app control also comes along with a lot of app automation test researches. Therefore, I integrated Template matching technique with app automation test to test IoT devices by seeing. This method lets test coverage to increase. From this research, I used Appium controlling app and the phone to get the image and then do image matching to verify behavior of the devices.
The experiments are conducted by two products- smart plug and home camera. One example of the former is that when app shows the plug is turned on, but actually
is not. The test can calculate the coverage by this case. Another example of the latter, the home camera, is to check if the screen keeps on video recording. The goal of this research is to observe good template image and target image applying template matching to IoT automation test for a long period of time. And then to compare template matching with SIFT in order to prove that template matching is more suitable for IoT automation test.
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author2 |
Sun, Chuen-Tsai |
author_facet |
Sun, Chuen-Tsai Lin, Chen-Ying 林辰穎 |
author |
Lin, Chen-Ying 林辰穎 |
spellingShingle |
Lin, Chen-Ying 林辰穎 Template matching Applied to IOT automation test |
author_sort |
Lin, Chen-Ying |
title |
Template matching Applied to IOT automation test |
title_short |
Template matching Applied to IOT automation test |
title_full |
Template matching Applied to IOT automation test |
title_fullStr |
Template matching Applied to IOT automation test |
title_full_unstemmed |
Template matching Applied to IOT automation test |
title_sort |
template matching applied to iot automation test |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/12881007122404440474 |
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