INFORMATION CHANGE THE WORLD

International Journal of Information Engineering and Electronic Business(IJIEEB)

ISSN: 2074-9023 (Print), ISSN: 2074-9031 (Online)

Published By: MECS Press

IJIEEB Vol.6, No.2, Apr. 2014

Machine Learning and Software Quality Prediction: As an Expert System

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Author(s)

Ekbal A. Rashid, Srikanta B. Patnaik, Vandana C. Bhattacherjee

Index Terms

Machine Learning;Software Quality prediction;Case-Based Reasoning; Knowledge base building;Distance functions;Expert System

Abstract

To improve the software quality the number of errors from the software must be removed. The research paper presents a study towards machine learning and software quality prediction as an expert system. The purpose of this paper is to apply the machine learning approaches, such as case-based reasoning, to predict software quality. The main objective of this research is to minimize software costs. Predict the error in software module correctly and use the results in future estimation. The novel idea behind this system is that Knowledge base (KBS) building is an important task in CBR and the knowledge base can be built based on world new problems along with world new solutions. Second, reducing the maintenance cost by removing the duplicate record set from the KBS. Third, error prediction with the help of similarity functions. In this research four similarity functions have been used and these are Euclidean, Manhattan, Canberra, and Exponential. We feel that case-based models are particularly useful when it is difficult to define actual rules about a problem domain. For this purpose we have developed a case-based reasoning model and have validated it upon student data. It was observed that, Euclidean and Exponential both are good for error calculation in comparison to Manhattan and Canberra after performing five experiments. In order to obtain a result we have used indigenous tool. For finding the mean and standard deviation, SPSS version 16 and for generating graphs MATLAB 7.10.0 version have been used as an analyzing tool.

Cite This Paper

Ekbal A. Rashid, Srikanta B. Patnaik, Vandana C. Bhattacherjee,"Machine Learning and Software Quality Prediction: As an Expert System", IJIEEB, vol.6, no.2, pp.9-27, 2014. DOI: 10.5815/ijieeb.2014.02.02

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