Abstract
Nowadays, Agile software development methodology is adopted by many companies to develop good quality software. It makes easier for the developers to remove the errors and bugs at the time of development of software. In Agile development, bug prediction is used to predict the errors, faults, bugs on the basis of historical data. By which most of the bugs are resolved before software compiles. Machine learning approach is used to predict the bugs in agile, by which agile methodology reduces the cost of maintenance and increase the project success rate. There are some factors for the project success which are discussed in this paper.
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