National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011 |
Foundation of Computer Science USA |
RTMC - Number 14 |
June 2012 |
Authors: Nupur Bajaj, Meha Khera, Vikram, Vijay Chahar |
ab477718-adee-48c1-a8ec-b050a79677a7 |
Nupur Bajaj, Meha Khera, Vikram, Vijay Chahar . An Efficient Technique for Software Coverage using Metaheuristic Algorithm. National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011. RTMC, 14 (June 2012), 29-31.
Software Testing is one of the most important parts of the software development lifecycle. Functional and structural testing are the most widely used testing methods to test software. Testing effectiveness can be achieved by the State Transition Testing (STT) which is commonly used for carrying out functional testing of software systems. The tester is required to test all the possible transitions in the system under built. Structural testing relies on identifying effective paths of the code. Aim of the current paper is to present a strategy by applying ant colony optimization technique, for the generation of test sequences for state transitions of the system as well as path generation for the Control Flow Graph of the software code using the basic property and behavior of the ants. This Proposed strategy gives maximum software coverage with minimal redundancy.