Search In this Thesis
   Search In this Thesis  
العنوان
Provision of Software Testing as a Service using Cloud Computing Environment/
المؤلف
Elwaan, Amira Ali Abdel Aal.
هيئة الاعداد
باحث / أميرة علي عبد العال علوان
مشرف / نجوى بدر
مشرف / هدى امين مغاوري
تاريخ النشر
2023.
عدد الصفحات
85 p. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
Information Systems
تاريخ الإجازة
1/1/2023
مكان الإجازة
جامعة عين شمس - كلية الحاسبات والمعلومات - نظم المعلومات
الفهرس
Only 14 pages are availabe for public view

from 85

from 85

Abstract

Nowadays, smartphones are becoming more sophisticated and widespread. Thus, numerous of mobile apps are developed daily that influence the lives of people worldwide. Mobile apps are implemented within a limited time and budget. This is to keep up with the rapid business growth and to gain a competitive advantage in the market. Performance testing is a crucial activity that evaluates the behavior of the application under test (AUT) under various workloads. Performance testing in the domain of mobile app development is still a manual and time-consuming activity. As a negative consequence, performance testing is ignored during the development of many mobile apps. Thus, mobile apps may suffer from the weak performance that badly affects the user experience. Efficient automated performance testing approaches should be used early during the software development cycle to guarantee the quality of the AUT and user retention.
Therefore, cloud technology is being introduced as an emerging solution the domain of software testing. Based on this technology, software testing is provided as a service (TaaS) that leverages cloud-based resources and infrastructure. This overcomes the testing issues and achieves high test quality. In this thesis, a cloud-based testing as a service architecture is proposed for performance testing of mobile apps. The proposed performance testing as a service (P-TaaS) adopts efficient approaches for automating the entire process. Efficient approaches for test case generation, parallel test execution, and test results analysis are introduced. This thesis proposes an automatic model-based test case generation approach for mobile applications performance testing. The proposed P-TaaS lessens the testing time and satisfies the fast time-to-release constraint of mobile apps. Additionally, the proposed P-TaaS maximizes the resource utilization, allows continuous resource monitoring, and ensures the load balance among multiple resources.