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Full-Text Articles in Computer Engineering
Image-Driven Automated End-To-End Testing For Mobile Applications, Caleb Fritz
Image-Driven Automated End-To-End Testing For Mobile Applications, Caleb Fritz
Computer Science and Computer Engineering Undergraduate Honors Theses
The increasing complexity and demand of software systems and the greater availability of test automation software is quickly rendering manual end-to-end (E2E) testing techniques for mobile platforms obsolete. This research seeks to explore the potential increase in automated test efficacy and maintainability through the use of computer vision algorithms when applied with Appium, a leading cross-platform mobile test automation framework. A testing framework written in a Node.js environment was created to support the development of E2E test scripts that examine and report the functional capabilities of a mobile test app. The test framework provides a suite of functions that connect …
Different Approaches To Blurring Digital Images And Their Effect On Facial Detection, Erich-Matthew Pulfer
Different Approaches To Blurring Digital Images And Their Effect On Facial Detection, Erich-Matthew Pulfer
Computer Science and Computer Engineering Undergraduate Honors Theses
The purpose of this thesis is to analyze the usage of multiple image blurring techniques and determine their effectiveness in combatting facial detection algorithms. This type of analysis is anticipated to reveal potential flaws in the privacy expected from blurring images or, rather, portions of images. Three different blurring algorithms were designed and implemented: a box blurring method, a Gaussian blurring method, and a differential privacy-based pixilation method. Datasets of images were collected from multiple sources, including the AT&T Database of Faces. Each of these three methods were implemented via their own original method, but, because of how common they …