Hierarchical abstraction of execution traces for program comprehension
Author:
Affiliation:
1. University of California
2. Delft University of Technology, Delft, The Netherlands
Funder
National Science Foundation under award CAREER
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3196321.3196343
Reference41 articles.
1. Mining API patterns as partial orders from source code
2. Exploiting hardware performance counters with flow and context sensitive profiling
3. A Heuristic-Based Approach to Identify Concepts in Execution Traces
4. Sequential PAttern mining using a bitmap representation
5. Detecting Program Execution Phases Using Heuristic Search
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