V2: Fast Detection of Configuration Drift in Python

@article{Horton2019V2FD,
  title={V2: Fast Detection of Configuration Drift in Python},
  author={Eric Horton and Chris Parnin},
  journal={2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE)},
  year={2019},
  pages={477-488}
}
  • Eric Horton, Chris Parnin
  • Published 2019
  • Computer Science
  • 2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE)
  • Code snippets are prevalent, but are hard to reuse because they often lack an accompanying environment configuration. Most are not actively maintained, allowing for drift between the most recent possible configuration and the code snippet as the snippet becomes out-of-date over time. Recent work has identified the problem of validating and detecting out-of-date code snippets as the most important consideration for code reuse. However, determining if a snippet is correct, but simply out-of-date… CONTINUE READING

    Figures, Tables, and Topics from this paper.

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 33 REFERENCES
    A neural network learning algorithm tailored for VLSI implementation
    49
    A phase II study of EAP (etoposide, adriamycin and cisplatin) in the patients with advanced gastric cancer: multiinstitutional study
    • 1991