TestTube: a system for selective regression testing
ICSE '94 Proceedings of the 16th international conference on Software engineering
Exploiting hardware performance counters with flow and context sensitive profiling
Proceedings of the ACM SIGPLAN 1997 conference on Programming language design and implementation
Regression testing in an industrial environment
Communications of the ACM
A scalable cross-platform infrastructure for application performance tuning using hardware counters
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
A framework for reducing the cost of instrumented code
Proceedings of the ACM SIGPLAN 2001 conference on Programming language design and implementation
Effectively prioritizing tests in development environment
ISSTA '02 Proceedings of the 2002 ACM SIGSOFT international symposium on Software testing and analysis
Dynamic trace selection using performance monitoring hardware sampling
Proceedings of the international symposium on Code generation and optimization: feedback-directed and runtime optimization
Bug isolation via remote program sampling
PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
Demand-driven structural testing with dynamic instrumentation
Proceedings of the 27th international conference on Software engineering
Scalable statistical bug isolation
Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
Code coverage testing using hardware performance monitoring support
Proceedings of the sixth international symposium on Automated analysis-driven debugging
Online performance analysis by statistical sampling of microprocessor performance counters
Proceedings of the 19th annual international conference on Supercomputing
Rapidly Selecting Good Compiler Optimizations using Performance Counters
Proceedings of the International Symposium on Code Generation and Optimization
Efficiently monitoring data-flow test coverage
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
A Hardware-Assisted Tool for Fast, Full Code Coverage Analysis
ISSRE '08 Proceedings of the 2008 19th International Symposium on Software Reliability Engineering
Scenario Based Optimization: A Framework for Statically Enabling Online Optimizations
Proceedings of the 7th annual IEEE/ACM International Symposium on Code Generation and Optimization
Taming hardware event samples for FDO compilation
Proceedings of the 8th annual IEEE/ACM international symposium on Code generation and optimization
Contention aware execution: online contention detection and response
Proceedings of the 8th annual IEEE/ACM international symposium on Code generation and optimization
Combining hardware and software instrumentation to classify program executions
Proceedings of the eighteenth ACM SIGSOFT international symposium on Foundations of software engineering
RACEZ: a lightweight and non-invasive race detection tool for production applications
Proceedings of the 33rd International Conference on Software Engineering
Exploiting hardware advances for software testing and debugging (NIER track)
Proceedings of the 33rd International Conference on Software Engineering
Characterizing multi-threaded applications based on shared-resource contention
ISPASS '11 Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software
Leveraging the short-term memory of hardware to diagnose production-run software failures
Proceedings of the 19th international conference on Architectural support for programming languages and operating systems
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The overhead of test coverage analysis is dominated by monitoring the application, which is traditionally performed using instrumentation. However, instrumentation can prohibitively increase the time and especially the memory overhead of an application. As an alternative to instrumentation, we explore how recent hardware advances can be leveraged to improve the overheads of test coverage analysis. These hardware advances include hardware performance monitors and multicore technology. In this work, we present our system, THeME, a testing framework that replaces instrumentation with hardware monitoring. THeME consists of a runtime system that takes advantage of hardware mechanisms and multiple cores and a static component to further extend the coverage derived from hardware event sampling. The results show that up to 90% of the actual coverage can be determined with less time overhead and negligible code growth compared to instrumentation.