Open AccessTEST CASE PRIORTIZATION USING GENETIC ALGORITHM
Author(s) -
Ruchika Malhotra,
Abhishek Bharadwaj
Publication year - 2014
Publication title -
international journal of computer science and informatics
Language(s) - English
Resource type - Journals
ISSN - 2231-5292
DOI - 10.47893/ijcsi.2014.1136
Subject(s) - computer science , test (biology) , software , test case , regression testing , test management approach , software reliability testing , software quality , reliability engineering , software development , software construction , algorithm , software engineering , programming language , machine learning , engineering , paleontology , biology , regression analysis
Software is built by human so it cannot be perfect. So in order to make sure that developed software does not do any unintended thing we have to test every software before launching it in the operational world. Software testing is the major part of software development lifecycle. Testing involves identifying the test cases which can find the errors in the program. Exhaustive testing is not a good idea to follow. It is very difficult and time consuming to perform. In this paper a technique has been proposed to do prioritize test cases according to their capability of finding errors. One which is more likely to find the errors has been assigned a higher priority and the one which is less likely to find the errors in the program has been assigned low priority. It is recommended to execute the test cases according their priority to find the errors.