Main Article Content
Abstract
As the internet users increasing, the amount of information available on internet is also increasing. Web application is the backbone of today’s economy. Almost everything which requires human effort or human presence at a place can be replaced by web. Web application is a type of software which can be written in some qualified language and can be accessed using a desired environment through a simple IP Address or domain name from anywhere in the world. While developing a web application the same SDLC Lifecycle is followed. In the early stages of development, it’s a compulsory task to take care of the programmatical mistakes or bugs to save time and effort during testing phase and prevent any runtime crisis. In this review paper, we will be studying various techniques supported by machine learning to handle bug prediction in web application and we will be proposing our approach to handle this task by improving performance of existing algorithms. Automated bug detection is an idea to reduce the developer effort or resources in development of an application.