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Paper Title : MACHINE LEARNING APPLIED TO SOFTWARE TESTING

ISSN : 2395-1303
Year of Publication : 2020
10.29126/23951303/IJET-V6I2P15

Authors:--Manikkannan D, R. Bhumi Devi, V.V. Nithyaa Shri, B. Bala Barathy

         


Abstract
Software testing is an integral part of developing software which aims to identify the errors and faults. The budget involved in developing the software exceeds if the fault is not detected and corrected at the right time. Also, testing is error prone. In order to overcome such problems, an attempt is made to automate software testing by applying machine learning algorithms which will minimize the error and the cost involved in software testing. Software testing activities include test case generation and oracle testing among others. Linear regression, decision tree and random forest algorithms are the machine learning algorithms that are used.

Reference
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Keywords
software testing, machine learning, linear regression, decision tree, random forest