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Fault Localization with Statistical Suspicious Program States
Thesis

Fault Localization with Statistical Suspicious Program States

Pin-Chuan Chou
Masters, 國立清華大學, 資訊工程學系
2006

Abstract

自動除錯 程式狀態 程式碼覆蓋度 Automated Debugging Program State Code Coverage
A state is statistically considered to be more suspicious if it appears more in failed cases and less in passed cases. We implemented both code coverage and stage coverage in a debugging tool and used a commonly-used benchmark consisting of 58 faulty programs to evaluate their performance. For 22% of these programs, their faults are within 10 statement steps of the most suspicious statement identified by code coverage. By adding state coverage and breaking at the most suspicious state of this most suspicious statement, we increase this ratio to 41%, an 86% performance improvement. Finally, we also explain a few cases in which both state coverage and code coverage cannot perform well.

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