The Architecture of Parallelized Cloud-Based Automatic Testing System

Abstract

Software testing is the key of software quality control. However, software testing requires plenty of time, manpower and resources in hardware and software. Unfortunately, plenty of human errors may cause software testing become more difficult. To increase efficiency and reduce costs, automatic software testing is relatively important. It is possible to dynamically adjust the resources of hardware and software from the actual needs by introducing cloud technology. In this research, we proposed the paralleled cloud-based automatic testing system (PCATS) which have the advantages of real-time software testing and automatically computation scaling. PCATS can parallel the tests at the same time with distinct servers. The main contributions of this paper are automatically: (1) parse the source code to perform statistics analysis (2) generate test drivers and test cases (3) testing in virtual environments (4) paralleled testing (5) profile the consumed resources.