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Statistical Fault Localization via Semi-dynamic Program Slicing

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4 Author(s)
Rongwei Yu ; Comput. Sch., Key Lab. of Aerosp. Inf. Security & Trust Comput., Wuhan Univ., Wuhan, China ; Lei Zhao ; Lina Wang ; Xiaodan Yin

Fault localization is a critical step of software debugging. We present a statistical fault localization approach via semi-dynamic slicing in this paper. In our technique, we first conduct the execution flow graph based on both the coverage information and static control-flow-graph to model the executions approximately. Second, we use the backward slicing to analyze the dependence relationships between execution statements and execution results, obtain sliced statements and calculate the coverage statistics. At last, we calculate the fault suspiciousness according to Tarantula, a classic approach of statistical fault localization. Controlled experiments are setup on the Siemens subjects, and the results are promising.

Published in:

Trust, Security and Privacy in Computing and Communications (TrustCom), 2011 IEEE 10th International Conference on

Date of Conference:

16-18 Nov. 2011

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