The program slicing approach does not describe the suspiciousness of statements, while the coverage analysis based fault localization approach does not analyze the relationship between statements. To solve these problems, a software fault localization approach by statistical analysis of failure context was proposed. Firstly, source code was transformed to an abstract syntax tree and program dependence graphs. Then, instrumentation was performed based on the abstract syntax tree to collect execution information. Next, starting from the failure point, dynamic program slicing based on requirement was conducted in order to get the context of failure. Finally, suspiciousness of nodes in the reverse dynamic program slice was computed, and a dynamic program slice with suspiciousness ranking was output. The proposed approach could not only describe the failure context, but also gave the suspiciousness of the statements. The experimental results show that it has an average 1.3% and 5.6% expense decrease compared with the coverage based analysis approach and the slicing approach respectively, so that it can facilitate the localization and fixing of bugs.