Software reconnaissance: mapping program features to code
Journal of Software Maintenance: Research and Practice
Coverage Metrics for Functional Validation of Hardware Designs
IEEE Design & Test
Locating Features in Source Code
IEEE Transactions on Software Engineering
Program Slicing of Hardware Description Languages
CHARME '99 Proceedings of the 10th IFIP WG 10.5 Advanced Research Working Conference on Correct Hardware Design and Verification Methods
Early field experience with the Software Reconnaissance technique for program comprehension
WCRE '96 Proceedings of the 3rd Working Conference on Reverse Engineering (WCRE '96)
Improving simulation-based verification by means of formal methods
Proceedings of the 2004 Asia and South Pacific Design Automation Conference
An Evaluation of Similarity Coefficients for Software Fault Localization
PRDC '06 Proceedings of the 12th Pacific Rim International Symposium on Dependable Computing
On the Accuracy of Spectrum-based Fault Localization
TAICPART-MUTATION '07 Proceedings of the Testing: Academic and Industrial Conference Practice and Research Techniques - MUTATION
Design intent coverage revisited
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Lightweight fault-localization using multiple coverage types
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Inferno: streamlining verification with inferred semantics
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Scalable specification mining for verification and diagnosis
Proceedings of the 47th Design Automation Conference
Tuning dynamic data flow analysis to support design understanding
Proceedings of the Conference on Design, Automation and Test in Europe
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Due to the increasing complexity modern System on Chip designs are developed by large design teams. In addition, existing design blocks are re-used such that the knowledge about these parts of the design entirely depends on the quality of the documentation. For a single designer it is almost impossible to have detailed knowledge about all blocks and their interaction. We introduce a simulation-based automation technique to support design understanding. Based on use cases provided by the designer and on their coverage information, the proposed technique identifies parts of the source code that are relevant for a certain functional feature. In two case studies the technique is shown to be at least as exact as reading the documentation with two important advantages: the automated approach is fast and more precise than the existing documentation for the inspected designs.