Automated severity assessment of software defect reports

@article{Menzies2008AutomatedSA,
  title={Automated severity assessment of software defect reports},
  author={Tim Menzies and Andrian Marcus},
  journal={2008 IEEE International Conference on Software Maintenance},
  year={2008},
  pages={346-355}
}
In mission critical systems, such as those developed by NASA, it is very important that the test engineers properly recognize the severity of each issue they identify during testing. Proper severity assessment is essential for appropriate resource allocation and planning for fixing activities and additional testing. Severity assessment is strongly influenced by the experience of the test engineers and by the time they spend on each issue. The paper presents a new and automated method named… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 19 REFERENCES

An approach to detecting duplicate bug reports using natural language and execution information

  • 2008 ACM/IEEE 30th International Conference on Software Engineering
  • 2008
VIEW 2 EXCERPTS

Detection of Duplicate Defect Reports Using Natural Language Processing

  • 29th International Conference on Software Engineering (ICSE'07)
  • 2007
VIEW 1 EXCERPT

How Long Will

C. Weiß, R. Premraj, T. Zimmermann, A. Zeller
  • It Take to Fix This Bug?" in Proceedings 4th Working Conference on Mining Software Repositories (MSR'07),
  • 2007
VIEW 1 EXCERPT

Impact analysis by mining software and change request repositories

  • 11th IEEE International Software Metrics Symposium (METRICS'05)
  • 2005
VIEW 1 EXCERPT

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