--- _id: '465' abstract: - lang: eng text: 'The edit distance between two words w 1 , w 2 is the minimal number of word operations (letter insertions, deletions, and substitutions) necessary to transform w 1 to w 2 . The edit distance generalizes to languages L 1 , L 2 , where the edit distance from L 1 to L 2 is the minimal number k such that for every word from L 1 there exists a word in L 2 with edit distance at most k . We study the edit distance computation problem between pushdown automata and their subclasses. The problem of computing edit distance to a pushdown automaton is undecidable, and in practice, the interesting question is to compute the edit distance from a pushdown automaton (the implementation, a standard model for programs with recursion) to a regular language (the specification). In this work, we present a complete picture of decidability and complexity for the following problems: (1) deciding whether, for a given threshold k , the edit distance from a pushdown automaton to a finite automaton is at most k , and (2) deciding whether the edit distance from a pushdown automaton to a finite automaton is finite. ' author: - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000−0002−2985−7724 - first_name: Rasmus full_name: Ibsen-Jensen, Rasmus id: 3B699956-F248-11E8-B48F-1D18A9856A87 last_name: Ibsen-Jensen orcid: 0000-0003-4783-0389 - first_name: Jan full_name: Otop, Jan last_name: Otop citation: ama: Chatterjee K, Henzinger TA, Ibsen-Jensen R, Otop J. Edit distance for pushdown automata. Logical Methods in Computer Science. 2017;13(3). doi:10.23638/LMCS-13(3:23)2017 apa: Chatterjee, K., Henzinger, T. A., Ibsen-Jensen, R., & Otop, J. (2017). Edit distance for pushdown automata. Logical Methods in Computer Science. International Federation of Computational Logic. https://doi.org/10.23638/LMCS-13(3:23)2017 chicago: Chatterjee, Krishnendu, Thomas A Henzinger, Rasmus Ibsen-Jensen, and Jan Otop. “Edit Distance for Pushdown Automata.” Logical Methods in Computer Science. International Federation of Computational Logic, 2017. https://doi.org/10.23638/LMCS-13(3:23)2017. ieee: K. Chatterjee, T. A. Henzinger, R. Ibsen-Jensen, and J. Otop, “Edit distance for pushdown automata,” Logical Methods in Computer Science, vol. 13, no. 3. International Federation of Computational Logic, 2017. ista: Chatterjee K, Henzinger TA, Ibsen-Jensen R, Otop J. 2017. Edit distance for pushdown automata. Logical Methods in Computer Science. 13(3). mla: Chatterjee, Krishnendu, et al. “Edit Distance for Pushdown Automata.” Logical Methods in Computer Science, vol. 13, no. 3, International Federation of Computational Logic, 2017, doi:10.23638/LMCS-13(3:23)2017. short: K. Chatterjee, T.A. Henzinger, R. Ibsen-Jensen, J. Otop, Logical Methods in Computer Science 13 (2017). date_created: 2018-12-11T11:46:37Z date_published: 2017-09-13T00:00:00Z date_updated: 2023-02-23T12:26:25Z day: '13' ddc: - '004' department: - _id: KrCh - _id: ToHe doi: 10.23638/LMCS-13(3:23)2017 ec_funded: 1 file: - access_level: open_access checksum: 08041379ba408d40664f449eb5907a8f content_type: application/pdf creator: system date_created: 2018-12-12T10:14:37Z date_updated: 2020-07-14T12:46:33Z file_id: '5090' file_name: IST-2015-321-v1+1_main.pdf file_size: 279071 relation: main_file - access_level: open_access checksum: 08041379ba408d40664f449eb5907a8f content_type: application/pdf creator: system date_created: 2018-12-12T10:14:38Z date_updated: 2020-07-14T12:46:33Z file_id: '5091' file_name: IST-2018-955-v1+1_2017_Chatterjee_Edit_distance.pdf file_size: 279071 relation: main_file file_date_updated: 2020-07-14T12:46:33Z has_accepted_license: '1' intvolume: ' 13' issue: '3' language: - iso: eng license: https://creativecommons.org/licenses/by-nd/4.0/ month: '09' oa: 1 oa_version: Published Version project: - _id: 25F5A88A-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11402-N23 name: Moderne Concurrency Paradigms - _id: 2584A770-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P 23499-N23 name: Modern Graph Algorithmic Techniques in Formal Verification - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize - _id: 25EE3708-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '267989' name: Quantitative Reactive Modeling - _id: 2581B60A-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '279307' name: 'Quantitative Graph Games: Theory and Applications' - _id: 25863FF4-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11407 name: Game Theory publication: Logical Methods in Computer Science publication_identifier: issn: - '18605974' publication_status: published publisher: International Federation of Computational Logic publist_id: '7356' pubrep_id: '955' quality_controlled: '1' related_material: record: - id: '1610' relation: earlier_version status: public - id: '5438' relation: earlier_version status: public scopus_import: 1 status: public title: Edit distance for pushdown automata tmp: image: /image/cc_by_nd.png legal_code_url: https://creativecommons.org/licenses/by-nd/4.0/legalcode name: Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0) short: CC BY-ND (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 13 year: '2017' ... --- _id: '512' abstract: - lang: eng text: 'The fixation probability is the probability that a new mutant introduced in a homogeneous population eventually takes over the entire population. The fixation probability is a fundamental quantity of natural selection, and known to depend on the population structure. Amplifiers of natural selection are population structures which increase the fixation probability of advantageous mutants, as compared to the baseline case of well-mixed populations. In this work we focus on symmetric population structures represented as undirected graphs. In the regime of undirected graphs, the strongest amplifier known has been the Star graph, and the existence of undirected graphs with stronger amplification properties has remained open for over a decade. In this work we present the Comet and Comet-swarm families of undirected graphs. We show that for a range of fitness values of the mutants, the Comet and Cometswarm graphs have fixation probability strictly larger than the fixation probability of the Star graph, for fixed population size and at the limit of large populations, respectively. ' article_number: '82' article_processing_charge: No author: - first_name: Andreas full_name: Pavlogiannis, Andreas id: 49704004-F248-11E8-B48F-1D18A9856A87 last_name: Pavlogiannis orcid: 0000-0002-8943-0722 - first_name: Josef full_name: Tkadlec, Josef id: 3F24CCC8-F248-11E8-B48F-1D18A9856A87 last_name: Tkadlec orcid: 0000-0002-1097-9684 - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X - first_name: Martin full_name: Nowak, Martin last_name: Nowak citation: ama: 'Pavlogiannis A, Tkadlec J, Chatterjee K, Nowak M. Amplification on undirected population structures: Comets beat stars. Scientific Reports. 2017;7(1). doi:10.1038/s41598-017-00107-w' apa: 'Pavlogiannis, A., Tkadlec, J., Chatterjee, K., & Nowak, M. (2017). Amplification on undirected population structures: Comets beat stars. Scientific Reports. Nature Publishing Group. https://doi.org/10.1038/s41598-017-00107-w' chicago: 'Pavlogiannis, Andreas, Josef Tkadlec, Krishnendu Chatterjee, and Martin Nowak. “Amplification on Undirected Population Structures: Comets Beat Stars.” Scientific Reports. Nature Publishing Group, 2017. https://doi.org/10.1038/s41598-017-00107-w.' ieee: 'A. Pavlogiannis, J. Tkadlec, K. Chatterjee, and M. Nowak, “Amplification on undirected population structures: Comets beat stars,” Scientific Reports, vol. 7, no. 1. Nature Publishing Group, 2017.' ista: 'Pavlogiannis A, Tkadlec J, Chatterjee K, Nowak M. 2017. Amplification on undirected population structures: Comets beat stars. Scientific Reports. 7(1), 82.' mla: 'Pavlogiannis, Andreas, et al. “Amplification on Undirected Population Structures: Comets Beat Stars.” Scientific Reports, vol. 7, no. 1, 82, Nature Publishing Group, 2017, doi:10.1038/s41598-017-00107-w.' short: A. Pavlogiannis, J. Tkadlec, K. Chatterjee, M. Nowak, Scientific Reports 7 (2017). date_created: 2018-12-11T11:46:53Z date_published: 2017-03-06T00:00:00Z date_updated: 2023-02-23T12:26:57Z day: '06' ddc: - '004' department: - _id: KrCh doi: 10.1038/s41598-017-00107-w ec_funded: 1 file: - access_level: open_access checksum: 7d05cbdd914e194a019c0f91fb64e9a8 content_type: application/pdf creator: system date_created: 2018-12-12T10:18:35Z date_updated: 2020-07-14T12:46:36Z file_id: '5357' file_name: IST-2018-938-v1+1_2017_Pavlogiannis_Amplification_on.pdf file_size: 1536783 relation: main_file file_date_updated: 2020-07-14T12:46:36Z has_accepted_license: '1' intvolume: ' 7' issue: '1' language: - iso: eng license: https://creativecommons.org/licenses/by/4.0/ month: '03' oa: 1 oa_version: Published Version project: - _id: 2584A770-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P 23499-N23 name: Modern Graph Algorithmic Techniques in Formal Verification - _id: 25863FF4-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11407 name: Game Theory - _id: 2581B60A-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '279307' name: 'Quantitative Graph Games: Theory and Applications' publication: Scientific Reports publication_identifier: issn: - '20452322' publication_status: published publisher: Nature Publishing Group publist_id: '7307' pubrep_id: '938' quality_controlled: '1' related_material: record: - id: '5449' relation: earlier_version status: public scopus_import: 1 status: public title: 'Amplification on undirected population structures: Comets beat stars' tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 7 year: '2017' ... --- _id: '10416' abstract: - lang: eng text: 'A fundamental algorithmic problem at the heart of static analysis is Dyck reachability. The input is a graph where the edges are labeled with different types of opening and closing parentheses, and the reachability information is computed via paths whose parentheses are properly matched. We present new results for Dyck reachability problems with applications to alias analysis and data-dependence analysis. Our main contributions, that include improved upper bounds as well as lower bounds that establish optimality guarantees, are as follows: First, we consider Dyck reachability on bidirected graphs, which is the standard way of performing field-sensitive points-to analysis. Given a bidirected graph with n nodes and m edges, we present: (i) an algorithm with worst-case running time O(m + n · α(n)), where α(n) is the inverse Ackermann function, improving the previously known O(n2) time bound; (ii) a matching lower bound that shows that our algorithm is optimal wrt to worst-case complexity; and (iii) an optimal average-case upper bound of O(m) time, improving the previously known O(m · logn) bound. Second, we consider the problem of context-sensitive data-dependence analysis, where the task is to obtain analysis summaries of library code in the presence of callbacks. Our algorithm preprocesses libraries in almost linear time, after which the contribution of the library in the complexity of the client analysis is only linear, and only wrt the number of call sites. Third, we prove that combinatorial algorithms for Dyck reachability on general graphs with truly sub-cubic bounds cannot be obtained without obtaining sub-cubic combinatorial algorithms for Boolean Matrix Multiplication, which is a long-standing open problem. Thus we establish that the existing combinatorial algorithms for Dyck reachability are (conditionally) optimal for general graphs. We also show that the same hardness holds for graphs of constant treewidth. Finally, we provide a prototype implementation of our algorithms for both alias analysis and data-dependence analysis. Our experimental evaluation demonstrates that the new algorithms significantly outperform all existing methods on the two problems, over real-world benchmarks.' acknowledgement: "The research was partly supported by Austrian Science Fund (FWF) Grant No P23499-N23, FWF NFN Grant No S11407-N23 (RiSE/SHiNE), and ERC Start grant (279307: Graph Games).\r\n" article_number: '30' article_processing_charge: No article_type: original author: - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X - first_name: Bhavya full_name: Choudhary, Bhavya last_name: Choudhary - first_name: Andreas full_name: Pavlogiannis, Andreas id: 49704004-F248-11E8-B48F-1D18A9856A87 last_name: Pavlogiannis orcid: 0000-0002-8943-0722 citation: ama: Chatterjee K, Choudhary B, Pavlogiannis A. Optimal Dyck reachability for data-dependence and Alias analysis. Proceedings of the ACM on Programming Languages. 2017;2(POPL). doi:10.1145/3158118 apa: 'Chatterjee, K., Choudhary, B., & Pavlogiannis, A. (2017). Optimal Dyck reachability for data-dependence and Alias analysis. Proceedings of the ACM on Programming Languages. Los Angeles, CA, United States: Association for Computing Machinery. https://doi.org/10.1145/3158118' chicago: Chatterjee, Krishnendu, Bhavya Choudhary, and Andreas Pavlogiannis. “Optimal Dyck Reachability for Data-Dependence and Alias Analysis.” Proceedings of the ACM on Programming Languages. Association for Computing Machinery, 2017. https://doi.org/10.1145/3158118. ieee: K. Chatterjee, B. Choudhary, and A. Pavlogiannis, “Optimal Dyck reachability for data-dependence and Alias analysis,” Proceedings of the ACM on Programming Languages, vol. 2, no. POPL. Association for Computing Machinery, 2017. ista: Chatterjee K, Choudhary B, Pavlogiannis A. 2017. Optimal Dyck reachability for data-dependence and Alias analysis. Proceedings of the ACM on Programming Languages. 2(POPL), 30. mla: Chatterjee, Krishnendu, et al. “Optimal Dyck Reachability for Data-Dependence and Alias Analysis.” Proceedings of the ACM on Programming Languages, vol. 2, no. POPL, 30, Association for Computing Machinery, 2017, doi:10.1145/3158118. short: K. Chatterjee, B. Choudhary, A. Pavlogiannis, Proceedings of the ACM on Programming Languages 2 (2017). conference: end_date: 2018-01-13 location: Los Angeles, CA, United States name: 'POPL: Programming Languages' start_date: 2018-01-07 date_created: 2021-12-05T23:01:48Z date_published: 2017-12-27T00:00:00Z date_updated: 2023-02-23T12:27:13Z day: '27' ddc: - '000' department: - _id: KrCh doi: 10.1145/3158118 ec_funded: 1 external_id: arxiv: - '1910.00241' file: - access_level: open_access checksum: faa3f7b3fe8aab84b50ed805c26a0ee5 content_type: application/pdf creator: cchlebak date_created: 2021-12-07T08:06:28Z date_updated: 2021-12-07T08:06:28Z file_id: '10421' file_name: 2017_ACMProgLang_Chatterjee.pdf file_size: 460188 relation: main_file success: 1 file_date_updated: 2021-12-07T08:06:28Z has_accepted_license: '1' intvolume: ' 2' issue: POPL language: - iso: eng month: '12' oa: 1 oa_version: Published Version project: - _id: 2581B60A-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '279307' name: 'Quantitative Graph Games: Theory and Applications' - _id: 2584A770-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P 23499-N23 name: Modern Graph Algorithmic Techniques in Formal Verification - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering publication: Proceedings of the ACM on Programming Languages publication_identifier: eissn: - 2475-1421 publication_status: published publisher: Association for Computing Machinery quality_controlled: '1' related_material: record: - id: '5455' relation: earlier_version status: public scopus_import: '1' status: public title: Optimal Dyck reachability for data-dependence and Alias analysis tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 volume: 2 year: '2017' ... --- _id: '5455' abstract: - lang: eng text: 'A fundamental algorithmic problem at the heart of static analysis is Dyck reachability. The input is a graphwhere the edges are labeled with different types of opening and closing parentheses, and the reachabilityinformation is computed via paths whose parentheses are properly matched. We present new results for Dyckreachability problems with applications to alias analysis and data-dependence analysis. Our main contributions,that include improved upper bounds as well as lower bounds that establish optimality guarantees, are asfollows:First, we consider Dyck reachability on bidirected graphs, which is the standard way of performing field-sensitive points-to analysis. Given a bidirected graph withnnodes andmedges, we present: (i) an algorithmwith worst-case running timeO(m+n·α(n)), whereα(n)is the inverse Ackermann function, improving thepreviously knownO(n2)time bound; (ii) a matching lower bound that shows that our algorithm is optimalwrt to worst-case complexity; and (iii) an optimal average-case upper bound ofO(m)time, improving thepreviously knownO(m·logn)bound.Second, we consider the problem of context-sensitive data-dependence analysis, where the task is to obtainanalysis summaries of library code in the presence of callbacks. Our algorithm preprocesses libraries in almostlinear time, after which the contribution of the library in the complexity of the client analysis is only linear,and only wrt the number of call sites.Third, we prove that combinatorial algorithms for Dyck reachability on general graphs with truly sub-cubic bounds cannot be obtained without obtaining sub-cubic combinatorial algorithms for Boolean MatrixMultiplication, which is a long-standing open problem. Thus we establish that the existing combinatorialalgorithms for Dyck reachability are (conditionally) optimal for general graphs. We also show that the samehardness holds for graphs of constant treewidth.Finally, we provide a prototype implementation of our algorithms for both alias analysis and data-dependenceanalysis. Our experimental evaluation demonstrates that the new algorithms significantly outperform allexisting methods on the two problems, over real-world benchmarks.' alternative_title: - IST Austria Technical Report article_processing_charge: No author: - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X - first_name: Bhavya full_name: Choudhary, Bhavya last_name: Choudhary - first_name: Andreas full_name: Pavlogiannis, Andreas id: 49704004-F248-11E8-B48F-1D18A9856A87 last_name: Pavlogiannis orcid: 0000-0002-8943-0722 citation: ama: Chatterjee K, Choudhary B, Pavlogiannis A. Optimal Dyck Reachability for Data-Dependence and Alias Analysis. IST Austria; 2017. doi:10.15479/AT:IST-2017-870-v1-1 apa: Chatterjee, K., Choudhary, B., & Pavlogiannis, A. (2017). Optimal Dyck reachability for data-dependence and alias analysis. IST Austria. https://doi.org/10.15479/AT:IST-2017-870-v1-1 chicago: Chatterjee, Krishnendu, Bhavya Choudhary, and Andreas Pavlogiannis. Optimal Dyck Reachability for Data-Dependence and Alias Analysis. IST Austria, 2017. https://doi.org/10.15479/AT:IST-2017-870-v1-1. ieee: K. Chatterjee, B. Choudhary, and A. Pavlogiannis, Optimal Dyck reachability for data-dependence and alias analysis. IST Austria, 2017. ista: Chatterjee K, Choudhary B, Pavlogiannis A. 2017. Optimal Dyck reachability for data-dependence and alias analysis, IST Austria, 37p. mla: Chatterjee, Krishnendu, et al. Optimal Dyck Reachability for Data-Dependence and Alias Analysis. IST Austria, 2017, doi:10.15479/AT:IST-2017-870-v1-1. short: K. Chatterjee, B. Choudhary, A. Pavlogiannis, Optimal Dyck Reachability for Data-Dependence and Alias Analysis, IST Austria, 2017. date_created: 2018-12-12T11:39:26Z date_published: 2017-10-23T00:00:00Z date_updated: 2023-02-21T15:54:10Z day: '23' ddc: - '000' department: - _id: KrCh doi: 10.15479/AT:IST-2017-870-v1-1 file: - access_level: open_access checksum: 177a84a46e3ac17e87b31534ad16a4c9 content_type: application/pdf creator: system date_created: 2018-12-12T11:54:02Z date_updated: 2020-07-14T12:46:59Z file_id: '5524' file_name: IST-2017-870-v1+1_main.pdf file_size: 960491 relation: main_file file_date_updated: 2020-07-14T12:46:59Z has_accepted_license: '1' language: - iso: eng month: '10' oa: 1 oa_version: Published Version page: '37' publication_identifier: issn: - 2664-1690 publication_status: published publisher: IST Austria pubrep_id: '870' related_material: record: - id: '10416' relation: later_version status: public status: public title: Optimal Dyck reachability for data-dependence and alias analysis type: technical_report user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2017' ... --- _id: '5450' abstract: - lang: eng text: 'In this report the implementation of the institutional data repository IST DataRep at IST Austria will be covered: Starting with the research phase when requirements for a repository were established, the procedure of choosing a repository-software and its customization based on the results of user-testings will be discussed. Followed by reflections on the marketing strategies in regard of impact, and at the end sharing some experiences of one year operating IST DataRep.' author: - first_name: Barbara full_name: Barbara Petritsch id: 406048EC-F248-11E8-B48F-1D18A9856A87 last_name: Petritsch orcid: 0000-0003-2724-4614 citation: ama: Petritsch B. Implementing the Institutional Data Repository IST DataRep. IST Austria; 2017. apa: Petritsch, B. (2017). Implementing the institutional data repository IST DataRep. IST Austria. chicago: Petritsch, Barbara. Implementing the Institutional Data Repository IST DataRep. IST Austria, 2017. ieee: B. Petritsch, Implementing the institutional data repository IST DataRep. IST Austria, 2017. ista: Petritsch B. 2017. Implementing the institutional data repository IST DataRep, IST Austria,p. mla: Petritsch, Barbara. Implementing the Institutional Data Repository IST DataRep. IST Austria, 2017. short: B. Petritsch, Implementing the Institutional Data Repository IST DataRep, IST Austria, 2017. date_created: 2018-12-12T11:39:24Z date_published: 2017-06-26T00:00:00Z date_updated: 2020-07-14T23:05:03Z day: '26' department: - _id: E-Lib extern: 0 file: - access_level: open_access checksum: 6321792dcfa82bf490f17615a9b22355 content_type: application/pdf creator: system date_created: 2018-12-12T11:53:22Z date_updated: 2020-07-14T12:46:59Z file_id: '5483' file_name: IST-2017-724-v1+1_DataRep_Project_Report_2017.pdf file_size: 3460985 relation: main_file file_date_updated: 2020-07-14T12:46:59Z main_file_link: - open_access: '1' url: https://repository.ist.ac.at/id/eprint/724. month: '06' oa: 1 publication_date: 2017-06-26 publisher: IST Austria pubrep_id: '724' status: public title: Implementing the institutional data repository IST DataRep type: report year: '2017' ...