• Riza Dhiman
• Dr.Vinay Chopra

The Regression testing is the testing which is applied to test the software when some changes are done in the already developed project. The test case prioritization is the technique of regression testing which prioritizes the test cases according to the changes which are done in the developed project. This work is based on automated and manual test case prioritization techniques. In the existing technique the manual test case prioritization is been implemented to detect faults from the project. In the manual test case prioritization two parameters are considered which are, number of times function encountered and number of functions associated with the particular function. On the basis of these two parameters the importance of each function is calculated which are prioritized by calculating FTV value. The FTV value is calculated according to the changes which are defined in the developed project. To increase the fault detection rate of the test case prioritization, automated test case prioritization is being implemented in this work. In the first step of the algorithm, the population values are taken as input which is the number of times function encountered and number of functions associated with a particular function. In the second step, the algorithm will start traversing the population values and error is calculated after every iteration. The iteration at which the error is maximum at that point the mutation value is calculated as the best mutation value of the function. The function mutation value will be the function importance from where the test cases are prioritized according to the defined changes. In the last step of the algorithm the function importance values are accessed according to the defined changes and best fitness value is calculated which will be the final percentage of faults detected from the project after the particular change.

Regression Testing, ACO, Test case prioritization, Automated slicing ,FTV(function traversal value).

"Modified ACO model for Regression Testing Using Automated slicing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.180-186, June-2018, Available :http://www.jetir.org/papers/JETIR1806413.pdf

"Modified ACO model for Regression Testing Using Automated slicing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp180-186, June-2018, Available at : http://www.jetir.org/papers/JETIR1806413.pdf