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interface-testing
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Test Transfer Between Mobile Applications Independent of the Applications Platform
, M.Sc. Thesis Sharif University of Technology ; Mirian Hosseinabadi, Hassan (Supervisor)
Abstract
Writing UI tests manually requires significant effort. In order to solve this problem in mobile apps, several approaches by exploiting the similarities of different apps within the same domain on a single platform have shown that it is possible to transfer tests that have that exercise similar functionality between the apps. Recently, two approaches aimed to transferring UI tests between Android and iOS platforms make it possible to transfer tests from one source app to the same app implemented for another platform. this research presents an approach, which expands existing work in three important ways: (1) without using the source code of the apps, extracts a static model of the target app...
Experimental investigation and constitutive modeling of polymer concrete and sand interface
, Article International Journal of Geomechanics ; Volume 17, Issue 1 , 2017 , Pages 1-11 ; 15323641 (ISSN) ; Shirkhorshidi, S. M ; Hosseinali, M ; Sharif University of Technology
American Society of Civil Engineers (ASCE)
2017
Abstract
In this investigation, the behavior of the interface between polymer concrete and sand was studied. For this purpose, two sets of interface direct shear tests (over 40 tests) were conducted on the polymer concrete and sand interface. Moreover, two sets of tests (over 30 tests) were performed on the cement concrete and sand interface for comparison. Based on the experiments, the shear stress versus tangential displacement curves at different normal stresses, the interface friction angles, and the adhesion were obtained for each interface. Then, three different constitutive models proposed for interfaces were used to predict the observed response. Finally, after a quantitative comparison of...
Predicting Structural Response of Steel Building under Ground Motion Excitation using Deep Learning Networks
, M.Sc. Thesis Sharif University of Technology ; Mohtasham Dolatshahi, Kiarash (Supervisor) ; Yazdanpanah, Omid (Supervisor)
Abstract
This paper aims at producing surrogate models which can predict building structural response under ground motion loads. Rapid response prediction has a great influence on post-event decision-making. The current study follows mentioned purpose in two main sections. The first section proposed deep models, able at estimating displacement time-series response by using only ground motion and roof acceleration. By this point, different preprocessing methods and their effects are studied. Also, a novel loss function is introduced and a hybrid model consists of different deep layers utilized to gain accurate models. These models train and evaluate on two case-study buildings; a special moment frame...