A methodology for controlling the size of a test suite
ACM Transactions on Software Engineering and Methodology (TOSEM)
Clique partitions, graph compression and speeding-up algorithms
Journal of Computer and System Sciences
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Prioritizing Test Cases For Regression Testing
IEEE Transactions on Software Engineering
Test Set Size Minimization and Fault Detection Effectiveness: A Case Study in a Space Application
COMPSAC '97 Proceedings of the 21st International Computer Software and Applications Conference
Automated support for classifying software failure reports
Proceedings of the 25th International Conference on Software Engineering
Compression Techniques to Simplify the Analysis of Large Execution Traces
IWPC '02 Proceedings of the 10th International Workshop on Program Comprehension
Bi-Criteria Models for All-Uses Test Suite Reduction
Proceedings of the 26th International Conference on Software Engineering
On test suite composition and cost-effective regression testing
ACM Transactions on Software Engineering and Methodology (TOSEM)
Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering
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
Exploiting the Analogy Between Traces and Signal Processing
ICSM '06 Proceedings of the 22nd IEEE International Conference on Software Maintenance
Automated known problem diagnosis with event traces
Proceedings of the 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006
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In this paper, we overview a new approach to comparing execution traces. Such comparison can be useful for purposes such as improving test coverage and profiling system's users. In our approach, traces are compressed into different levels of compaction and are then compared iteratively from highest to lowest levels, rejecting dissimilar traces in the process and eventually leaving residual, similar traces. These residual traces form an important feedback for improvement or analysis goals. The preliminary results show that the approach is scalable for industrial use.