Publications

Contribution to book anthology

Klarlund, N., Møller, A. & Schwartzbach, M. I. (2000). DSD: A Schema Language for XML. In Proceedings of the third workshop on Formal methods in software practice (pp. 101-111). Association for Computing Machinery. https://doi.org/10.1145/349360.351158

Klarlund, N., Møller, A. & Schwartzbach, M. I. (2001). MONA Implementation Secrets. In S. Yu & A. Paun (Eds.), Implementation and Application of Automata: 5th International Conference, CIAA 2000 London, Ontario, Canada, July 24-25, 2000 Revised Papers (pp. 182-194). Springer. https://doi.org/10.1007/3-540-44674-5_4

Kulkarni, R., Mathur, U. & Pavlogiannis, A. (2021). Dynamic Data-Race Detection Through the Fine-Grained Lens. In S. Haddad & D. Varacca (Eds.), 32nd International Conference on Concurrency Theory (CONCUR 2021) (pp. 16:1-16:23). Schloss Dagstuhl--Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.CONCUR.2021.16

Li, Y., Tan, T., Møller, A. & Smaragdakis, Y. (2018). Scalability-First Pointer Analysis with Self-Tuning Context-Sensitivity. In G. T. Leavens, A. Garcia & C. S. Păsăreanu (Eds.), ESEC/FSE 2018 - Proceedings of the 2018 26th ACM Joint Meeting on European So ftware Engineering Conference and Symposium on the Foundations of So ftware Engineering (pp. 129-140). Association for Computing Machinery. https://doi.org/10.1145/3236024.3236041

Madsen, M., Lhoták, O. & Tip, F. (2020). A Semantics for the Essence of React. In R. Hirschfeld & T. Pape (Eds.), 34th European Conference on Object-Oriented Programming (ECOOP 2020) (Vol. 166, pp. 12:1-12:26). Article 12 Schloss Dagstuhl--Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.ECOOP.2020.12

Madsen, M., Tip, F., Andreasen, E. S., Sen, K. & Møller, A. (2016). Feedback-directed instrumentation for deployed JavaScript applications. In Proceedings - 2016 IEEE/ACM 38th IEEE International Conference on Software Engineering Companion, ICSE 2016: ICSE 2016 (pp. 899-910). Association for Computing Machinery. https://doi.org/10.1145/2884781.2884846

Madsen, M. & Lhoták, O. (2020). Fixpoints for the masses: programming with first-class Datalog constraints. In Proceedings of the ACM on Programming Languages (OOPSLA ed., Vol. 4). Association for Computing Machinery. https://doi.org/10.1145/3428193

Madsen, M., Starup, J. L. & Lhoták, O. (2022). Flix: A Meta Programming Language for Datalog. In Proceedings of the 4th International Workshop on the Resurgence of Datalog in Academia and Industry (Datalog-2.0 2022) (pp. 202-206). CEUR-WS.org. https://ceur-ws.org/Vol-3203/short8.pdf

Madsen, M. & Lhoták, O. (2018). Implicit Parameters for Logic Programming. In D. Sabel & P. Thiemann (Eds.), Proceedings of the 20th International Symposium on Principles and Practice of Declarative Programming Article 14 Association for Computing Machinery. https://doi.org/10.1145/3236950.3236953

Madsen, M. & Pol, J. V. D. (2020). Polymorphic types and effects with Boolean unification. In Proceedings of the ACM on Programming Languages (OOPSLA ed., Vol. 4). Association for Computing Machinery. https://doi.org/10.1145/3428222

Madsen, M., Livshits, B. & Fanning, M. (2013). Practical static analysis of JavaScript applications in the presence of frameworks and libraries. In B. Meyer, L. Baresi & M. Mezini (Eds.), Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering , ESEC/FSE 2013 (pp. 499-509). Association for Computing Machinery. https://doi.org/10.1145/2491411.2491417

Madsen, M., Starup, J. L. & Lutze, M. (2023). Restrictable Variants: A Simple and Practical Alternative to Extensible Variants. In K. Ali & G. Salvaneschi (Eds.), 37th European Conference on Object-Oriented Programming, ECOOP 2023 (pp. 17:1-17:27). Article 17 Schloss Dagstuhl--Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.ECOOP.2023.17

Madsen, M. & Lhoták, O. (2018). Safe and Sound Program Analysis with Flix. In E. Bodden & F. Tip (Eds.), ISSTA 2018 - Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis (pp. 38-48). Association for Computing Machinery. https://doi.org/10.1145/3213846.3213847

Madsen, M. & Møller, A. (2014). Sparse Dataflow Analysis with Pointers and Reachability. In M. Müller-Olm & H. Seidl (Eds.), Static Analysis: 21st International Symposium, SAS 2014, Munich, Germany, September 11-13, 2014. Proceedings (pp. 201-218). Springer VS. https://doi.org/10.1007/978-3-319-10936-7_13

Madsen, M. & Andreasen, E. (2014). String Analysis for Dynamic Field Access. In A. Cohen (Ed.), Compiler Construction: 23rd International Conference, CC 2014, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2014, Grenoble, France, April 5-13, 2014. Proceedings (pp. 197-217). Springer. https://doi.org/10.1007/978-3-642-54807-9_12

Madsen, M., Zarifi, R. & Lhoták, O. (2018). Tail Call Elimination and Data Representation for Functional Languages on the Java Virtual Machine. In J. Xue & C. Dubach (Eds.), CC 2018 - Proceedings of the 27th International Conference on Compiler Construction, Co-located with CGO 2018 (pp. 139-150). Association for Computing Machinery. https://doi.org/10.1145/3178372.3179499

Madsen, M. (2022). The Principles of the Flix Programming Language. In Onward! 2022 - Proceedings of the 2022 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software, co-located with SPLASH 2022 (pp. 112-127). Association for Computing Machinery. https://doi.org/10.1145/3563835.3567661

Mathur, U., Pavlogiannis, A., Tunc, H. C. & Viswanathan, M. (2022). A Tree Clock Data Structure for Causal Orderings in Concurrent Executions. In B. Falsafi, M. Ferdman, S. Lu & T. F. Wenisch (Eds.), ASPLOS 2022 - Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (pp. 710-725). Association for Computing Machinery. https://doi.org/10.1145/3503222.3507734

Mathur, U., Pavlogiannis, A. & Viswanathan, M. (2020). The Complexity of Dynamic Data Race Prediction. In Proceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science, LICS 2020 (pp. 713–727). Article 3394783 Association for Computing Machinery. https://doi.org/10.1145/3373718.3394783

Mezzetti, G., Møller, A. & Torp, M. T. (2018). Type Regression Testing to Detect Breaking Changes in Node.js Libraries. In T. D. Millstein (Ed.), 32nd European Conference on Object-Oriented Programming, ECOOP 2018 (Vol. 109, pp. 7:1-7:24). Article 7 Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH. https://doi.org/10.4230/LIPIcs.ECOOP.2018.7

Mezzetti, G., Møller, A. & Strocco, F. (2016). Type unsoundness in practice: An empirical study of dart. In R. Ierusalimschy (Ed.), DLS 2016 - Proceedings of the 12th Symposium on Dynamic Languages (pp. 13-24). Association for Computing Machinery. https://doi.org/10.1145/2989225.2989227

Midtgaard, J. & Møller, A. (2015). QuickChecking Static Analysis Properties. In 8th IEEE International Conference on Software Testing, Verification and Validation (ICST), 2015 (pp. 1-10). IEEE. https://doi.org/10.1109/ICST.2015.7102603

Møller, A. & Sridharan, M. (Eds.) (2021). 35th European Conference on Object-Oriented Programming, ECOOP 2021, July 11-17, 2021, Aarhus, Denmark (Virtual Conference). In A. Møller & M. Sridharan (Eds.), 35th European Conference on Object-Oriented Programming (ECOOP 2021) (pp. vii-ix). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2021.0

Møller, A. & Schwarz, M. (2012). Automated Detection of Client-State Manipulation Vulnerabilities. In M. Glinz, G. Murphy & M. Pezzè (Eds.), 34th International Conference on Software Engineering (ICSE 2012) : Proceedings (pp. 749 - 759 ). IEEE Communications Society. https://doi.org/10.1109/ICSE.2012.6227143

Møller, A. & Schwarz, M. R. (2009). JWIG: Yet Another Framework for Maintainable and Secure Web Applications. In J. Filipe & J. Cordeiro (Eds.), WEBIST 2009 - Proceedings of the Fifth International Conference on Web Information Systems and Technologies (pp. 47-53). Institute for Systems and Technologies of Information, Control and Communication.

Møller, A. & Torp, M. T. (2019). Model-based testing of breaking changes in Node.js libraries. In S. Apel, M. Dumas, A. Russo & D. Pfahl (Eds.), ESEC/FSE 2019 - Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering (pp. 409-419). Association for Computing Machinery. https://doi.org/10.1145/3338906.3338940

Møller, A. & Naik, M. (2015). SOAP'15: Proceedings of the 4th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis. In Proceedings of the 4th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis Association for Computing Machinery. http://dl.acm.org/citation.cfm?id=2771284

Møller, A. (2008). Static Analysis for Event-Based XML Processing. In PLAN-X: Programming Language Technologies for XML: An ACM SIGPLAN Workshop colocated with POPL 2008 (pp. 18-27). Universität Trier.

Møller, A. & Schwartzbach, M. I. (2005). The Design Space of Type Checkers for XML Transformation Languages. In Database Theory - ICDT 2005: 10th International Conference, Edinburgh, UK, January 5-7, 2005. Proceedings (pp. 17-36). Springer. https://doi.org/10.1007/978-3-540-30570-5_2

Møller, A. & Schwartzbach, M. I. (2001). The Pointer Assertion Logic Engine. In M. L. Sofia (Ed.), Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (Vol. 36(5), pp. 221-231). Association for Computing Machinery. https://doi.org/10.1145/381694.378851

Møller, A. & Schwartzbach, M. I. (2007). XML Graphs in Program Analysis. In G. Ramalingam & E. Visser (Eds.), Proceedings of the ACM SIGPLAN Workshop on Partial Evaluation and Program Manipulation (pp. 1-10). Association for Computing Machinery. https://doi.org/10.1145/1244381.1244383

Nielsen, B. B., Torp, M. T. & Møller, A. (2021). Modular call graph construction for security scanning of Node.js applications. In C. Cadar & X. Zhang (Eds.), ISSTA 2021 - Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis (pp. 29-41). Association for Computing Machinery. https://doi.org/10.1145/3460319.3464836

Nielsen, B. B., Torp, M. T. & Møller, A. (2021). Semantic Patches for Adaptation of JavaScript Programs to Evolving Libraries. In Proceedings - 2021 IEEE/ACM 43rd International Conference on Software Engineering, ICSE 2021 (pp. 74-85). IEEE. https://doi.org/10.1109/ICSE43902.2021.00020

Nielsen, B. B. & Møller, A. (2020). Value Partitioning: A Lightweight Approach to Relational Static Analysis for JavaScript. In 34th European Conference on Object-Oriented Programming, ECOOP 2020 Article 16 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2020.16

Petsinis, P., Pavlogiannis, A. & Karras, P. (2023). Maximizing the Probability of Fixation in the Positional Voter Model. In B. Williams, Y. Chen & J. Neville (Eds.), AAAI-23 Technical Tracks 10 (pp. 12269-12277). Article 190493 AAAI Press.

Schultz, U. P., Danvy, O. (Ed.) & Filinski, A. (Ed.) (2001). Partial Evaluation for Class-Based Object-Oriented Languages. In Lecture Notes In Computer Science: Proceedings of the Second Symposium on Programs as Data Objects (Lecture Notes in Computer Science 2053 ed., Vol. 2053, pp. 173-197). Springer.

Spencer, B., Benedikt, M., Møller, A. & Breugel, F. V. (2017). ArtForm: A Tool for Exploring the Codebase of Form-based Websites. In K. Sen & T. Bultan (Eds.), ISSTA 2017 - Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis (pp. 380-383). Association for Computing Machinery. https://doi.org/10.1145/3092703.3098226

Staicu, C. A., Torp, M. T., Schafer, M., Møller, A. & Pradel, M. (2020). Extracting Taint Specifications for JavaScript Libraries. In ICSE '20: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering (pp. 198-209). Article 3380390 Association for Computing Machinery. https://doi.org/10.1145/3377811.3380390

Starup, J. L., Madsen, M. & Lhoták, O. (2023). Breaking the Negative Cycle: Exploring the Design Space of Stratification for First-Class Datalog Constraints. In K. Ali & G. Salvaneschi (Eds.), 37th European Conference on Object-Oriented Programming, ECOOP 2023 Article 31 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2023.31

Stiévenart, Q. & Madsen, M. (2020). Fuzzing channel-based concurrency runtimes using types and effects. In Proceedings of the ACM on Programming Languages (OOPSLA ed., Vol. 4). Association for Computing Machinery. https://doi.org/10.1145/3428254

Veileborg, O. H., Saioc, G-V. & Møller, A. (2023). Detecting Blocking Errors in Go Programs using Localized Abstract Interpretation. In iWOAR 2022 - 7th International Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, Proceedings (pp. 1-12). Article 32 Association for Computing Machinery. https://doi.org/10.1145/3551349.3561154

Zerny, I. & Danvy, O. (2013). A synthetic operational account of call-by-need evaluation. In R. Peña & T. Schrijvers (Eds.), Proceedings of the 15th Symposium on Principles and Practice of Declarative Programming, PPDP '13 (pp. 97-108). Association for Computing Machinery. https://doi.org/10.1145/2505879.2505898

Danvy, O. & Hatcliff, J. (2000). Partial Evaluation. In A. Ralston, E. Reilly & D. Hemmendinger (Eds.), Encyclopedia of Computer Science (pp. 1370-1371). Macmillan Reference.

Danvy, O. (Ed.), O’Hearn, P. & Wadler, P. (2006). Preface, Festschrift for John C. Reynolds's 70th birthday. In Theoretical Computer Science, Volume 375, Issues 1–3, (pp. 1-2). Elsevier.

Danvy, O. (2011). Pragmatics for formal semantics. In Proceedings of the 10th ACM International Conference on Generative Programming and Component Engineering (pp. 93-94). Association for Computing Machinery. https://doi.org/10.1145/2047862.2047878