Abstract: A delta debugging method and system based on a probability model which includes: acquiring an initial probability model and historical test data; optimizing and iterating the initial probability model through the historical test data to obtain an optimized and iterated probability model; and performing delta debugging on a target program containing multiple lines of code based on the optimized and iterated probability model to obtain a debugging result that meets a first preset condition. Therefore, by adopting the embodiment of the present application, the initial probability model can be continuously optimized and iterated through the historical test data, and the target program can be debugged based on the optimized and iterated probability model, so that the debugging result can be improved, or the compression amount of the size of the target program can reach a target compression amount, or the debugging time can be greatly reduced.

Abstract: A delta debugging method and system based on a probability model which includes: acquiring an initial probability model and historical test data; optimizing and iterating the initial probability model through the historical test data to obtain an optimized and iterated probability model; and performing delta debugging on a target program containing multiple lines of code based on the optimized and iterated probability model to obtain a debugging result that meets a first preset condition. Therefore, by adopting the embodiment of the present application, the initial probability model can be continuously optimized and iterated through the historical test data, and the target program can be debugged based on the optimized and iterated probability model, so that the debugging result can be improved, or the compression amount of the size of the target program can reach a target compression amount, or the debugging time can be greatly reduced.