PRIORITIZING SOFTWARE MAINTENANCE ISSUES THROUGH ACQUISITION PROCESS

When we obtain a defect list from the user the development team will decide which defect should be fixed first. We use maintenance plan which consists of list that are fixed sequentially and it is most to prioritize the defects based on the ranking till now the software maintenance has not achieved the customer needs from this research we are going with a method of prioritizing the software defect to be fixed by concentrating on the 3 impact factors. Those are severity, priority and no of users who found the same defects. We are proposing 3 models in this paper. Those are Ranking Priority Analysis, Adaptive model and Preventive model. NLP is the Natural language Processing that is used to analyze the user feedback in order to extract defect related keywords. And this type of Natural language processing helps the user to maintain the software very efficiently. We will use the ranking process to prioritize the maintenance issues. This can be achieved by the Analytical Hierarchy Process (AHP) algorithm.