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An Evaluation of Software Testing Tools Effectiveness

Author(s):

Anil Kumar Chaurasia , M.Tech Scholar(AFSET, Faridabad); Mohammad Danish, AFSET, Faridabad; Pravin Kumar Mishra, BIT, Meerut

Keywords:

Load Balancing, Cluster Computing

Abstract

Automated testing tools helps the Quality Assurance engineer to evaluate the quality of software by testing the software .To evaluate the effeteness of software there is a requirement of good testing tools, which provide the testing requirement as per the project. Although there are so many testing tools available in the market and they differ in approach, quality, usability and other characteristics. Choosing the good testing tool there is a requirement of a way to prioritize them on the basis of characteristics. This paper will propose a set of metrics for measuring the characteristics of the testing tools and help us to examination and choosing the good automated testing tools. Metrics for evaluating automatic software testing tools were previously proposed by James B Michal, B Synder and B J Bossuyt . A new extended model for Black Box Testing which is proposed provides the metrics to calculate the effectiveness of any tool on the basis of functionality and operability. The industry will also be benefited, they can use the metrics to evaluate any tool and make the priority on the basis of analysis they can further make selection of tool for their software to be tested and reduce the testing effort hence effort hence saving time and gaining maximum monetary benefit.

Other Details

Paper ID: IJSRDV2I6215
Published in: Volume : 2, Issue : 6
Publication Date: 01/09/2014
Page(s): 475-478

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