A Systematic Approach for the Detection of Software Bug Using Catboost

The amount of information on web is expanding as the client of the web develops. Presently, Software is sufficiently skilled to replace all that requires human intervention or presence. SDLC (Software Defect LifeCycle) is process that is continued in fostering the Software, which contains thorough testing. To try not to sit around and exertion on Bugs, Software Bug Prediction plays a pivotal part in the beginning stage of improvement in keeping up with and fostering the great nature of Software. Programming Bug Prediction worries with by and large accomplishment as early programming expectation can work on the quality, dependability, proficiency, decreased cost of Software. We have used different AI approaches on NASA dataset and contrasted them and as of late presented calculation called Catboost. The results achieved, when contrasted and other approaches, CatBoost method rout them for all dataset.