A Novel Approach to Error Detection and Correction of C Programs Using Machine Learning and Data Mining

Abstract

There has always been a struggle for programmers to identify the errors while executing a program- be it syntactical or logical error. This struggle has led to a research in identification of syntactical and logical errors. This paper makes an attempt to survey those research works which can be used to identify errors as well as proposes a new model based on machine learning and data mining which can detect logical and syntactical errors by correcting them or providing suggestions. The proposed work is based on use of hashtags to identify each correct program uniquely and this in turn can be compared with the logically incorrect program in order to identify errors.