Continuous profiling: where have all the cycles gone?
ACM Transactions on Computer Systems (TOCS)
Multivariate visualization in observation-based testing
Proceedings of the 22nd international conference on Software engineering
Finding failures by cluster analysis of execution profiles
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Pursuing failure: the distribution of program failures in a profile space
Proceedings of the 8th European software engineering conference held jointly with 9th ACM SIGSOFT international symposium on Foundations of software engineering
Visualization of test information to assist fault localization
Proceedings of the 24th International Conference on Software Engineering
Pinpoint: Problem Determination in Large, Dynamic Internet Services
DSN '02 Proceedings of the 2002 International Conference on Dependable Systems and Networks
Automated support for classifying software failure reports
Proceedings of the 25th International Conference on Software Engineering
Bug isolation via remote program sampling
PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
Predicting Rare Events In Temporal Domains
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Exploiting Software: How to Break Code
Exploiting Software: How to Break Code
Finding Latent Code Errors via Machine Learning over Program Executions
Proceedings of the 26th International Conference on Software Engineering
Active learning for automatic classification of software behavior
ISSTA '04 Proceedings of the 2004 ACM SIGSOFT international symposium on Software testing and analysis
Scalable statistical bug isolation
Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
Applying classification techniques to remotely-collected program execution data
Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering
Empirical Software Engineering
Time will tell: fault localization using time spectra
Proceedings of the 30th international conference on Software engineering
Lightweight fault-localization using multiple coverage types
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Computer Systems: A Programmer's Perspective
Computer Systems: A Programmer's Perspective
Exploiting hardware advances for software testing and debugging (NIER track)
Proceedings of the 33rd International Conference on Software Engineering
THeME: a system for testing by hardware monitoring events
Proceedings of the 2012 International Symposium on Software Testing and Analysis
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Several research efforts have studied ways to infer properties of software systems from program spectra gathered from the running systems, usually with software-level instrumentation. One specific application of this general approach, which is the focus of this paper, is distinguishing failed executions from successful executions. While existing efforts appear to produce accurate classifications, detailed understanding of their costs and potential cost-benefit tradeoffs is lacking. In this work, we present a hybrid instrumentation approach which uses hardware performance counters to gather program spectra at very low cost. This underlying data is further augmented with data captured by minimal amounts of software-level instrumentation. We also evaluate this hybrid approach by comparing it to other existing approaches. We conclude that these hybrid spectra can reliably distinguish failed executions from successful executions at a fraction of the runtime overhead cost of using software-only spectra.