Name
Abstract | ||
|---|---|---|
We present a transformation-system-based technique in the frame-work of string solving, by reformulating a classical combinatorics on words result, the Lemma of Levi. We further enrich the induced rules by simplification steps based on results from the combinatorial theory of word equations, as well as by the addition of linear length constraints. This transformation-system approach cannot solve all equations efficiently by itself. To improve the efficiency of our transformation-system approach we integrate existing successful string solvers, which are called based on several heuristics. The experimental evaluation we performed shows that integrating our technique as an inprocessing step improves in general the performance of existing solvers.
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Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3372020.3391556 | FormaliSE '20: 8th International Conference on Formal Methods in Software Engineering
Seoul
Republic of Korea
October, 2020 |
DocType | ISBN | Citations |
Conference | 978-1-4503-7071-4 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joel D. Day | 1 | 5 | 5.19 |
| Mitja Kulczynski | 2 | 0 | 2.03 |
| Florin Manea | 3 | 372 | 58.12 |
| Dirk Nowotka | 4 | 213 | 42.90 |
| Danny Bøgsted Poulsen | 5 | 308 | 13.03 |