Software Fault Localisation via Probabilistic Modelling

摘要

Software development is a complex activity requiring intelligent action. This paper explores the use of an AI technique for one step in software development, viz. detecting the location of a fault in a program. A measure of program progress is proposed, which uses a Naieve Bayes model to measure how useful the information that has been produced by the program to the task that the program is tackling. Then, deviations in that measure are used to find the location of faults in the code. Experiments are carried out to test the effectiveness of this measure.