English

Orion+: Automated Problem Diagnosis in Computing Systems by Mining Metric Data

Distributed, Parallel, and Cluster Computing 2018-03-01 v1

Abstract

This work presents the suspicious code at a finer granularity of call stack rather than code region, which was being returned by Orion. Call stack based comparison returns call stacks that are most impacted by the bug and save developer time to debug from scratch. This solution has polynomial complexity and hence can be implemented practically.

Keywords

Cite

@article{arxiv.1802.10530,
  title  = {Orion+: Automated Problem Diagnosis in Computing Systems by Mining Metric Data},
  author = {Shreya Inamdar and Charitha Saumya and Nomchin Banga},
  journal= {arXiv preprint arXiv:1802.10530},
  year   = {2018}
}
R2 v1 2026-06-23T00:37:00.966Z