CRAXTriage: A coverage based triage system

Chao Chun Yeh, Han Lin Lu, Yi Hsuan Lee, Wei Sheng Chou, Shih-Kun Huang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Software is getting complicated due to the changing needs and flourishing development of software industry. To better improve software quality, we have to find the major reasons which cause the program crash. However, debugging by software developer is not an efficient method, especially in large software. Many automated tools are developed to enhance the fault localization efficiency and reduce the maintenance cost. Most researches focus on improving the software testing process, and the primary triage method is based on the stack-trace hash (e.g., smartfuzz, basic fuzzing framework and Failure Observation engine), and is unchanged for a long time. Therefore, we propose a new triage method based on binary block coverage. Our triage method is designed by analyzing the binary level coverage results, on every time the input causes the program crash. For the same crash input, we also use traditional stack-trace hash method to contrast the flaws with our method. Our experiment results reveal that our proposed method based on code coverage exhibits better triages in terms of the number of unique bugs identified and correct classifications of faults.

Original languageEnglish
Title of host publication2017 IEEE Conference on Dependable and Secure Computing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages8
ISBN (Electronic)9781509055692
StatePublished - 18 Oct 2017
Event2017 IEEE Conference on Dependable and Secure Computing - Taipei, Taiwan
Duration: 7 Aug 201710 Aug 2017

Publication series

Name2017 IEEE Conference on Dependable and Secure Computing


Conference2017 IEEE Conference on Dependable and Secure Computing


  • Bug triage
  • Coverage testing
  • Software testing


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