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Software Fault Prediction using Machine Learning

Author(s):

Vineetha M K , RV College of Engineering; Dr. G. N. Srininvasan, RV College of Engineering

Keywords:

Software Fault Prediction, Machine Learning

Abstract

Software Fault Prediction assumes a critical job in the dynamic research regions of software building. A product fault is a blunder, bug, imperfection, blame, glitch or mix-up in programming that makes it make a wrong or startling result. The real hazard factors related with a product fault which is not recognized amid the early period of programming improvement are time, quality, cost, exertion and wastage of assets. Faults may happen in any period of programming advancement. Booming programming organizations center fixation around programming quality, especially amid the early period of the product improvement. Thus, the key target of any association is to decide and address the imperfections in an early period of Software Development Life Cycle [SDLC]. To improve the nature of programming, machine learning strategies have been connected to assemble expectations regarding the disappointment of programming parts by misusing past information of programming segments and their deformities. This paper investigated the condition of craftsmanship in the field of programming imperfection the board and prediction and offered machine learning procedures in short.

Other Details

Paper ID: IJSRDV7I20797
Published in: Volume : 7, Issue : 2
Publication Date: 01/05/2019
Page(s): 1687-1690

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