Open AccessTest Case Prioritization & Selection for an Object Oriented Software using Genetic Algorithm.
Author(s) -
Prashant Vats,
Manju Mandot,
Sach Mukherjee,
Neelam Sharma
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.c6639.049420
Subject(s) - prioritization , computer science , genetic algorithm , test case , selection (genetic algorithm) , test (biology) , heuristic , software , algorithm , object oriented programming , sequence (biology) , data mining , machine learning , artificial intelligence , engineering , programming language , genetics , paleontology , regression analysis , management science , biology
In this paper our aim is to propose a Test Case Selection and Prioritization technique for OOP for ordering the test cases as per in accordance with their priority for finding the faults in the OOS. We have used the heuristic Genetic Algorithm, in order to generating the order of these prioritized test cases for a given OOS. The motive is to put a test case first into the ordered sequence that may have the highest prospective of finding an error in the given OOS & then soon.