Orion+: Automated Problem Diagnosis in Computing Systems by Mining Metric Data
Shreya Inamdar, Charitha Saumya, Nomchin Banga

TL;DR
Orion+ enhances automated debugging by analyzing call stack data at a finer granularity, enabling efficient identification of impacted code segments and reducing developer debugging time.
Contribution
It introduces a call stack-based comparison approach with polynomial complexity for more precise bug localization in computing systems.
Findings
Effective bug localization at call stack level
Polynomial complexity ensures practical implementation
Reduces developer debugging effort
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.
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Taxonomy
TopicsSoftware System Performance and Reliability · Cloud Computing and Resource Management · Service-Oriented Architecture and Web Services
