System Model to Effectively Understand Programming Error Messages Using Similarity Matching and Natural Language Processing

The advancement of technology has made our life easy and perfect. During the exploration of technology, many new technologies have taken control over the world; one among them is artificial intelligence, which plays a very important role in today’s world. During the development of any product in AI, errors are common specifically during coding. The programmer faces errors and issues while developing code, for which the programmer needs to search the error, debug it, which is time-consuming process. When the program is being developed, the errors or the issues in the program must be solvable by a single click. The algorithm proposed in the paper takes the error statement as input and finds the best solution. With the help of similarity matching and natural language processing, the database is searched for the most similar error and returns you the result. Word frequency and the corresponding word cloud are plotted. If in case the requirement is not matched or less similar data, then the system extracts data from various resources like World Wide Web and responds. This approach helps the user to save time and find the most accurate solution for the error encountered.