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dc.contributor.author Gunawardena, ICP
dc.date.accessioned 2011-07-20T06:46:24Z
dc.date.available 2011-07-20T06:46:24Z
dc.date.issued 7/20/2011
dc.identifier.uri http://dl.lib.mrt.ac.lk/theses/handle/123/1786
dc.description.abstract The complexity and scale of the current software products are rapidly increasing. The resources and manpower, which are dedicated for testing software, are being reduced or remain constant. Automated testing has become crucial in the software industry to address this gap and therefore, has been widely adopted more than ever before. This project will discuss an innovative design for developing automated test frameworks by overcoming traditional challenges in the particular field. It will present strategies for automating all types of tests such as Integration Testing, Load testing and Regression Testing. Software test automation has the capability to decrease the overall cost of testing and improve software quality, but most testing organizations have not been able to achieve the full potential of test automation. Many groups that implement test automation programs run into a number of common pitfalls. These problems can lead to test automation plans being completely scrapped, with the tools purchased for test automation becoming expensive "shelfware". The project mainly focused on providing effective solution for automating and integrating all the "Testing" needs in the eBuilder Technology Centre (Pvt.) Ltd. The proposed solution covers automation of the all manual test efforts, integrates all the product and project testing. In addition to that, system is globally available and centralized. It has lots of effective testing options and nice analysis reports. Test Automation Framework that can seamlessly automate the Integration Testing, Load testing and Regression Testing phases of the development lifecyc1e of the product has been developed. This increases the developer/tester productivity by providing a robust and easy to use framework. en_US
dc.description.abstract The complexity and scale of the current software products are rapidly increasing. The resources and manpower, which are dedicated for testing software, are being reduced or remain constant. Automated testing has become crucial in the software industry to address this gap and therefore, has been widely adopted more than ever before. This project will discuss an innovative design for developing automated test frameworks by overcoming traditional challenges in the particular field. It will present strategies for automating all types of tests such as Integration Testing, Load testing and Regression Testing. Software test automation has the capability to decrease the overall cost of testing and improve software quality, but most testing organizations have not been able to achieve the full potential of test automation. Many groups that implement test automation programs run into a number of common pitfalls. These problems can lead to test automation plans being completely scrapped, with the tools purchased for test automation becoming expensive "shelfware". The project mainly focused on providing effective solution for automating and integrating all the "Testing" needs in the eBuilder Technology Centre (Pvt.) Ltd. The proposed solution covers automation of the all manual test efforts, integrates all the product and project testing. In addition to that, system is globally available and centralized. It has lots of effective testing options and nice analysis reports. Test Automation Framework that can seamlessly automate the Integration Testing, Load testing and Regression Testing phases of the development lifecyc1e of the product has been developed. This increases the developer/tester productivity by providing a robust and easy to use framework.
dc.language.iso en en_US
dc.subject INFORMATION TECHNOLOGY-Dissertation ; COMPUTER AND INFORMATION SCIENCE- Dissertation ; SOFTWARE TESTING-AUTOMATED ; en_US
dc.title Test automation frame work en_US
dc.type Thesis-Abstract
dc.identifier.faculty IT en_US
dc.identifier.degree MSc en_US
dc.identifier.department Faculty of lnformation Technology en_US
dc.date.accept 2008
dc.date.accept 2008
dc.identifier.accno 93006 en_US


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