ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Cost evaluation of coverage directed test generation for the IBM mainframe
Proceedings of the IEEE International Test Conference 2001
A Framework for Constrained Functional Verification
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
IODINE: a tool to automatically infer dynamic invariants for hardware designs
Proceedings of the 42nd annual Design Automation Conference
Efficient mining of frequent episodes from complex sequences
Information Systems
Coverage-directed test generation through automatic constraint extraction
HLDVT '07 Proceedings of the 2007 IEEE International High Level Design Validation and Test Workshop
Debugging embedded multimedia application traces through periodic pattern mining
Proceedings of the tenth ACM international conference on Embedded software
Word level feature discovery to enhance quality of assertion mining
Proceedings of the International Conference on Computer-Aided Design
Generating concise assertions with complete coverage
Proceedings of the 23rd ACM international conference on Great lakes symposium on VLSI
Data mining MPSoC simulation traces to identify concurrent memory access patterns
Proceedings of the Conference on Design, Automation and Test in Europe
Diagnosing root causes of system level performance violations
Proceedings of the International Conference on Computer-Aided Design
Automatic Generation of System Level Assertions from Transaction Level Models
Journal of Electronic Testing: Theory and Applications
| Hi-index | 0.00 |
This paper studies the problem of automatic assertion extraction at the input boundary of a given unit embedded in a system. This paper proposes a data mining approach that analyzes simulation traces to extract the assertions. We borrow two key concepts from the sequential data mining and develop an effective assertion extraction approach specific to our problem. These two concepts are (1) the slide-window-based episode definition that decides the space of all potential assertions and (2) the Support-Confidence framework that evaluates the meaningfulness of potential assertions using a given simulation trace. We implement the approach in a system simulation environment built on the AMBA 2.0 standard. Experimental results demonstrate the feasibility of the proposed approach and validity of extracted assertions are verified by comparing to the transactions defined in the specification.