{"publication_identifier":{"eissn":["1611-3349"],"issn":["0302-9743"],"eisbn":["9783642175114"],"isbn":["9783642175107"]},"editor":[{"first_name":"Edmund M","last_name":"Clarke","full_name":"Clarke, Edmund M"},{"full_name":"Voronkov, Andrei","first_name":"Andrei","last_name":"Voronkov"}],"month":"05","year":"2010","intvolume":" 6355","citation":{"ieee":"R. Blanc, T. A. Henzinger, T. Hottelier, and L. Kovács, “ABC: Algebraic Bound Computation for loops,” in Logic for Programming, Artificial Intelligence, and Reasoning, Dakar, Senegal, 2010, vol. 6355, pp. 103–118.","ama":"Blanc R, Henzinger TA, Hottelier T, Kovács L. ABC: Algebraic Bound Computation for loops. In: Clarke EM, Voronkov A, eds. Logic for Programming, Artificial Intelligence, and Reasoning. Vol 6355. LNCS. Berlin, Heidelberg: Springer Nature; 2010:103-118. doi:10.1007/978-3-642-17511-4_7","mla":"Blanc, Régis, et al. “ABC: Algebraic Bound Computation for Loops.” Logic for Programming, Artificial Intelligence, and Reasoning, edited by Edmund M Clarke and Andrei Voronkov, vol. 6355, Springer Nature, 2010, pp. 103–18, doi:10.1007/978-3-642-17511-4_7.","short":"R. Blanc, T.A. Henzinger, T. Hottelier, L. Kovács, in:, E.M. Clarke, A. Voronkov (Eds.), Logic for Programming, Artificial Intelligence, and Reasoning, Springer Nature, Berlin, Heidelberg, 2010, pp. 103–118.","apa":"Blanc, R., Henzinger, T. A., Hottelier, T., & Kovács, L. (2010). ABC: Algebraic Bound Computation for loops. In E. M. Clarke & A. Voronkov (Eds.), Logic for Programming, Artificial Intelligence, and Reasoning (Vol. 6355, pp. 103–118). Berlin, Heidelberg: Springer Nature. https://doi.org/10.1007/978-3-642-17511-4_7","ista":"Blanc R, Henzinger TA, Hottelier T, Kovács L. 2010. ABC: Algebraic Bound Computation for loops. Logic for Programming, Artificial Intelligence, and Reasoning. LPAR: Conference on Logic for Programming, Artificial Intelligence and ReasoningLNCS vol. 6355, 103–118.","chicago":"Blanc, Régis, Thomas A Henzinger, Thibaud Hottelier, and Laura Kovács. “ABC: Algebraic Bound Computation for Loops.” In Logic for Programming, Artificial Intelligence, and Reasoning, edited by Edmund M Clarke and Andrei Voronkov, 6355:103–18. LNCS. Berlin, Heidelberg: Springer Nature, 2010. https://doi.org/10.1007/978-3-642-17511-4_7."},"date_published":"2010-05-01T00:00:00Z","quality_controlled":"1","title":"ABC: Algebraic Bound Computation for loops","main_file_link":[{"open_access":"1","url":"https://infoscience.epfl.ch/record/186096"}],"acknowledgement":"This work was supported in part by the Swiss NSF. The fourth author is supported by an FWF Hertha Firnberg Research grant (T425-N23).","series_title":"LNCS","page":"103-118","type":"conference","doi":"10.1007/978-3-642-17511-4_7","oa_version":"Submitted Version","date_updated":"2022-06-13T07:44:21Z","status":"public","author":[{"last_name":"Blanc","first_name":"Régis","full_name":"Blanc, Régis"},{"last_name":"Henzinger","first_name":"Thomas A","orcid":"0000-0002-2985-7724","id":"40876CD8-F248-11E8-B48F-1D18A9856A87","full_name":"Henzinger, Thomas A"},{"full_name":"Hottelier, Thibaud","last_name":"Hottelier","first_name":"Thibaud"},{"full_name":"Kovács, Laura","last_name":"Kovács","first_name":"Laura"}],"conference":{"name":"LPAR: Conference on Logic for Programming, Artificial Intelligence and Reasoning","end_date":"2010-05-01","location":"Dakar, Senegal","start_date":"2010-04-25"},"day":"01","publisher":"Springer Nature","department":[{"_id":"ToHe"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_processing_charge":"No","place":"Berlin, Heidelberg","publication_status":"published","publication":"Logic for Programming, Artificial Intelligence, and Reasoning","language":[{"iso":"eng"}],"oa":1,"_id":"10908","scopus_import":"1","volume":6355,"abstract":[{"text":"We present ABC, a software tool for automatically computing symbolic upper bounds on the number of iterations of nested program loops. The system combines static analysis of programs with symbolic summation techniques to derive loop invariant relations between program variables. Iteration bounds are obtained from the inferred invariants, by replacing variables with bounds on their greatest values. We have successfully applied ABC to a large number of examples. The derived symbolic bounds express non-trivial polynomial relations over loop variables. We also report on results to automatically infer symbolic expressions over harmonic numbers as upper bounds on loop iteration counts.","lang":"eng"}],"date_created":"2022-03-21T08:14:35Z"}