Research on improved the Tarantula spectrum fault localization algorithm
Liang Xu, Liqiang Mao, Ming Huang · 2014
The paper presents a measure to improve the Tarantula spectral fault localization algorithm and solves the problems that the weight of the statements with a high-frequency coverage is significantly lower than the statements with a low-frequency coverage when Tarantula algorithm calculate the statement suspicious degrees. The improved algorithm has better discrimination when calculating the statement suspicious degrees. Comparing with the calculation results of different algorithms, it proves that the improved Tarantula algorithm is better than other algorithms through the experiment.