Earticle

초록

영어

Reproducing or debugging a fault in embedded software is a difficult activity, due to the complicated operating environment and various input data that have an effect on the software execution path. We propose a testing method to identify fault type and locate debugging points by detecting faults while the system is running, rather than analyzing faults through reproducing them after program fail. Our method is hooking the execution of modules related to runtime errors, selectively collecting execution information that is necessary to detect a fault. We have developed an automated testing tool called RopheTR, and performed experiments to compare with representative runtime error detection tools and RopheTR. Experimental results show that RopheTR has the highest fault detection rate of 91.8%, and has excellent accuracy in providing code location for debugging and fault type, compared with other tools. Moreover, our method exhibited the least slow down rate of 0.03x on average, and the slightest memory usage increase of 0.13x. Our method is a very light-weight test method suitable for embedded software that has severe resource constraints of real-time operating system.

목차

Abstract
 1. Introduction
 2. Runtime Fault Analysis
  2.1. Monitoring Point
  2.2. Runtime Information Tagging
  2.3. Runtime Fault Detection
  2.4. Implementation
 3. Empirical Study
  3.1. Fault Design
  3.2. Experiment Results
  3.3. Overhead
 4. Conclusion and Future Work
 Acknowledgements
 References

키워드

저자

• Jihyun Park [ Dept. of Computer Science and Engineering Ewha Womans University, Seoul, Korea ]
• Jooyoung Seo [ Dept. of Information and Computer Engineering Ajou University, Suwon, Korea ]
• Byoungju Choi [ Dept. of Computer Science and Engineering Ewha Womans University, Seoul, Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605