A Comprehensive Study on Automation using Robot Framework
Journal: International Journal of Science and Research (IJSR) (Vol.9, No. 7)Publication Date: 2020-07-05
Authors : Neha S Batni; Jyoti Shetty;
Page : 1033-1036
Keywords : software testing; integration testing; regression testing; test automation; robot framework;
Abstract
Recently, many organizations have shown improvement in the automation of applications when compared to manual testing as manual testing consumes a lot of human work, it is time consuming and may also affect the accuracy of testing. Automation has shown significant improvement in terms of availability, efficiency and quality of software products. Automation using Robot Framework has advantages such as it is plain, powerful and easy extended framework that uses the keyword driven development. It has table form of creating syntax which makes it easy and test cases are in a uniform way. The framework also has the powerto make re-use the keywords from existing keyword and makes sure it provides easy extensibility. It has simple library API for creating custom test libraries in Python or Java, it also has instruction interface and XML based output files that ease integration into existing build infrastructure, for example continuous integration systems. All these features make sure that Robot Framework can be used to quickly automate test cases. This paper is a study on Robot framework and its usage in automation testing.
Other Latest Articles
- Exploring the Relationship between Culture Change, Kurt Lewins Model of Change, Employee Behaviour and Employee Performance in South African State owned Enterprises: The Case of Transnet Property Division
- Fixed Point Theorem for Expansive Mappings in G - Metric Space
- Passive Design Techniques as a Sustainable Solution for Thermal Comfort in Transitional Spaces of an Institutional Building (A Case of Jaipur)
- Desire, Behaviour and Identity: Envisaging Social Acceptance of Transgender Community in India
- Moving Objects Detection and Tracking in Using Improved Odd frame Difference and Camshift Algorithm
Last modified: 2021-06-28 17:09:23