Keywords: case-based reasoning; recommender systems; natural langauge processing;
In improving the software maintenance activity, it is essential to automatically detect duplicate or similar bug reports stored in the repository, and then reusing its solution if possible. Thus, a bugFix Recommender System is proposed to assist user to get a recommendation of a solution from duplicate or similar bug reports that available in the repository. The proposed system acts like a help desk system. The system is developed based on Case-Based Reasoning approach and natural language processing techniques. This paper discusses in details the framework of the proposed system. The system has potential to provide benefits to triagers as well as end-users.