• Jai Bhagwan

In the technological era, the demand of software is increasing unconditionally. Various social media platforms have been designed for entertainment and business purposes. Software development is not an easy task because we need to keep in mind the budget, development time, efficiency and other parameters too. To deliver successful software, the developers need to go through various phases of software development. To reduce the development efforts and cost of software, software bug detection may play a vital role. In past, various machine learning models have been designed to predict the software fault at any level of software development life cycle. In this research, various techniques have been examined and a comparative analysis has been presented.

Software Quality, Bug Prediction, Software Fault, Object-Oriented, ML (Machine Learning), ML Techniques.

"An Analysis of Software Bug Prediction Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.389-394, January-2019, Available :http://www.jetir.org/papers/JETIR1901I50.pdf

"An Analysis of Software Bug Prediction Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp389-394, January-2019, Available at : http://www.jetir.org/papers/JETIR1901I50.pdf