Open AccessAn Algorithm for Finding the Optimal Path In Basis Path Testing using GABVIE Model
Author(s) -
Seema Sharma,
Shaveta Bhatia
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.c8436.019320
Subject(s) - white box testing , computer science , path (computing) , process (computing) , task (project management) , algorithm , software , non regression testing , code (set theory) , black box testing , software development , programming language , software construction , set (abstract data type) , engineering , systems engineering
Software testing is one of the most vital factors in software development life cycle. It is mainly used for testing the program code, known as white box testing and to test the functionality of the program, known as black box testing. Manual generation of test data is very costly, error vulnerable and time consuming task. Subsequently, there is a need to make the process automated as could be expected under the circumstances. This paper presented the automated generation of optimal path with intention of attaining the maximum coverage. The work being done considers the optimal path coverage in minimum cost. The task of generating test cases can be done through the concept Genetic Algorithm with importance of variable (GABVIE). The proposed algorithm additionally considers programs having numerous modules. This is vital as a large portion of the current test data generators not succeeded to establish the communication between the modules. The approach has been implemented on various program code and the outcomes got have been confirmed. The proposed work considers the white box testing.