Faster algorithms for weighted recursive state machines

K. Chatterjee, B. Kragl, S. Mishra, A. Pavlogiannis, in:, H. Yang (Ed.), Springer, 2017, pp. 287–313.


Conference Paper | Published | English
Editor
Series Title
LNCS
Abstract
Pushdown systems (PDSs) and recursive state machines (RSMs), which are linearly equivalent, are standard models for interprocedural analysis. Yet RSMs are more convenient as they (a) explicitly model function calls and returns, and (b) specify many natural parameters for algorithmic analysis, e.g., the number of entries and exits. We consider a general framework where RSM transitions are labeled from a semiring and path properties are algebraic with semiring operations, which can model, e.g., interprocedural reachability and dataflow analysis problems. Our main contributions are new algorithms for several fundamental problems. As compared to a direct translation of RSMs to PDSs and the best-known existing bounds of PDSs, our analysis algorithm improves the complexity for finite-height semirings (that subsumes reachability and standard dataflow properties). We further consider the problem of extracting distance values from the representation structures computed by our algorithm, and give efficient algorithms that distinguish the complexity of a one-time preprocessing from the complexity of each individual query. Another advantage of our algorithm is that our improvements carry over to the concurrent setting, where we improve the bestknown complexity for the context-bounded analysis of concurrent RSMs. Finally, we provide a prototype implementation that gives a significant speed-up on several benchmarks from the SLAM/SDV project.
Publishing Year
Date Published
2017-03-19
Volume
10201
Page
287 - 313
Conference
ESOP: European Symposium on Programming
Conference Location
Uppsala, Sweden
Conference Date
2017-04-22 – 2017-04-29
ISSN
IST-REx-ID

Cite this

Chatterjee K, Kragl B, Mishra S, Pavlogiannis A. Faster algorithms for weighted recursive state machines. In: Yang H, ed. Vol 10201. Springer; 2017:287-313. doi:10.1007/978-3-662-54434-1_11
Chatterjee, K., Kragl, B., Mishra, S., & Pavlogiannis, A. (2017). Faster algorithms for weighted recursive state machines. In H. Yang (Ed.) (Vol. 10201, pp. 287–313). Presented at the ESOP: European Symposium on Programming, Uppsala, Sweden: Springer. https://doi.org/10.1007/978-3-662-54434-1_11
Chatterjee, Krishnendu, Bernhard Kragl, Samarth Mishra, and Andreas Pavlogiannis. “ Faster Algorithms for Weighted Recursive State Machines.” edited by Hongseok Yang, 10201:287–313. Springer, 2017. https://doi.org/10.1007/978-3-662-54434-1_11.
K. Chatterjee, B. Kragl, S. Mishra, and A. Pavlogiannis, “ Faster algorithms for weighted recursive state machines,” presented at the ESOP: European Symposium on Programming, Uppsala, Sweden, 2017, vol. 10201, pp. 287–313.
Chatterjee K, Kragl B, Mishra S, Pavlogiannis A. 2017. Faster algorithms for weighted recursive state machines. ESOP: European Symposium on Programming, LNCS, vol. 10201. 287–313.
Chatterjee, Krishnendu, et al. Faster Algorithms for Weighted Recursive State Machines. Edited by Hongseok Yang, vol. 10201, Springer, 2017, pp. 287–313, doi:10.1007/978-3-662-54434-1_11.

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