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SCHEDULING JOB AND WORK FLOW MINING USING NOVEL BASED GROUP MOVEMENT PATTERNS

The main objective of this paper is to reduce the work of the software developers during and in work allocation. Here the work is allotted for each person automatically by splitting the modules into tasks. When developing a big project, more confusion and more discussions may occur, and some clauses may arise between modules while splitting into tasks the person who develops the particular task and performance evolution may not be in accurate, and confuses the actual work allotted by the HR. So the companies struggle to book multiple software projects Simultaneously. So that companies are yielding less works from their employees. This paper is introduced, in order to reduce these problems. Here all the modules will be given as input and it will automatically indicate the number of persons be needed to complete the project and time it needs to complete a particular module. Thus the user can avoid all confusions by using these methods.