Publications

Endo, A. T. & Møller, A. (2020). NodeRacer: Event Race Detection for Node.js Applications. In 2020 IEEE 13th International Conference on Software Testing, Verification and Validation, ICST 2020: Proceedings (pp. 120-130). [9159075] Institute of Electrical and Electronics Engineers Inc.. Proceedings - 2020 IEEE 13th International Conference on Software Testing, Verification and Validation, ICST 2020 https://doi.org/10.1109/ICST46399.2020.00022

Hyder, R., Højlund, A., Jensen, M., Østergaard, K. & Shtyrov, Y. (2020). Objective assessment of automatic language comprehension mechanisms in the brain: Novel E/MEG paradigm. Psychophysiology, 57(5), [e13543]. https://doi.org/10.1111/psyp.13543

Chatterjee, K., Goharshady, A. K., Ibsen-Jensen, R. & Pavlogiannis, A. (2020). Optimal and Perfectly Parallel Algorithms for On-demand Data-Flow Analysis. In P. Müller (Ed.), Programming Languages and Systems- 29th European Symposium on Programming, ESOP 2020 held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020, Proceedings (pp. 112-140). Springer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12075 https://doi.org/10.1007/978-3-030-44914-8_5

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. ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages and Applications https://doi.org/10.1145/3428222

Pavlogiannis, A., Schaumberger, N., Schmid, U. & Chatterjee, K. (2020). Precedence-Aware Automated Competitive Analysis of Real-Time Scheduling. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 39(11), 3981-3992. [9211419]. https://doi.org/10.1109/TCAD.2020.3012803

Petersen, B., Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Michel, F., Kamaric Riis, S., Brattico, E. & Vuust, P. (2020). The CI MuMuFe: A New MMN Paradigm for Measuring Music Discrimination in Electric Hearing. Frontiers in Neuroscience, 14, [2]. https://doi.org/10.3389/fnins.2020.00002

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). [3394783] Association for Computing Machinery. https://doi.org/10.1145/3373718.3394783

Pavlogiannis, A. (2020). The Fine-Grained Complexity of Andersen's Pointer Analysis. ArXiv. https://arxiv.org/abs/2006.01491

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

Højlund, A., Gebauer, L., McGregor, W. B. & Wallentin, M. (2019). Context and perceptual asymmetry effects on the mismatch negativity (MMNm) to speech sounds: an MEG study. Language, Cognition and Neuroscience. https://doi.org/10.1080/23273798.2019.1572204

Chatterjee, K., Goharshady, A. K., Okati, N. & Pavlogiannis, A. (2019). Efficient Parameterized Algorithms for Data Packing. Proceedings of the ACM on Programming Languages, 3(POPL). https://doi.org/10.1145/3290366

Chatterjee, K., Goharshady, A. K., Goyal, P., Ibsen-Jensen, R. & Pavlogiannis, A. (2019). Faster algorithms for dynamic algebraicqueries in basic RSMs with constant treewidth. ACM Transactions on Programming Languages and Systems, 41(4), [23]. https://doi.org/10.1145/3363525

Dongmei, Z. & Møller, A. (Eds.) (2019). ISSTA 2019: Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis. Association for Computing Machinery. ISSTA 2019 - Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis https://dl.acm.org/citation.cfm?id=3293882&picked=prox

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. ESEC/FSE 2019 - Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering https://doi.org/10.1145/3338906.3338940

Petersen, B., Friis Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Brattico, E., Michel, F., Kamaric Riis, S. & Vuust, P. (2019). Objective Measurements of Music Discrimination in Individual Experienced and Recently Implanted Cochlear Implant Users. Abstract from CI2019 Pediatric: 16th Symposium on Cochlear Implants in Children, Hollywood, FL, United States.

Petersen, B., Friis Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Brattico, E., Michel, F., Kamaric Riis, S. & Vuust, P. (2019). Objective Measurements of Music Discrimination in Individual Experienced and Recently Implanted Cochlear Implant Users. Poster session presented at 2019 Conference on Implantable Auditory Prostheses (CIAP), Lake Tahoe, California, United States.

Tkadlec, J., Pavlogiannis, A., Chatterjee, K. & Nowak, M. A. (2019). Population structure determines the tradeoff between fixation probability and fixation time. Communications Biology, 2, [138]. https://doi.org/10.1038/s42003-019-0373-y

Kristensen, E. K. & Møller, A. (2019). Reasonably-Most-General Clients for JavaScript Library Analysis. Proceedings of the International Conference on Software Engineering. https://doi.org/10.1109/ICSE.2019.00026

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2019). Reduced prediction error responses in high-as compared to low-uncertainty musical contexts. Cortex, 120, 181-200. https://doi.org/10.1101/422949, https://doi.org/10.1016/j.cortex.2019.06.010

Stein, B., Nielsen, B. B., Chang, B-Y. E. & Møller, A. (2019). Static Analysis with Demand-driven Value Refinement. Proceedings of the ACM on Programming Languages, 3(OOPSLA), [140]. https://doi.org/10.1145/3360566

Petersen, B., Friis Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Brattico, E., Michel, F., Kamaric Riis, S. & Vuust, P. (2019). The Sound of Music – Two Novel EEG-Paradigms for Measuring Discrimination of Music in Cochlear Implant Users. Abstract from CI2019 Pediatric: 16th Symposium on Cochlear Implants in Children, Hollywood, FL, United States.

Petersen, B., Friis Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Brattico, E., Michel, F., Kamaric Riis, S. & Vuust, P. (2019). The Sound of Music: Two Novel EEG-Paradigms for Measuring Discrimination of Music in Cochlear Implant Users. Abstract from 2019 Conference on Implantable Auditory Prostheses (CIAP), Lake Tahoe, California, United States.

Chatterjee, K., Pavlogiannis, A. & Toman, V. (2019). Value-centric Dynamic Partial Order Reduction. Proceedings of the ACM on Programming Languages, 3(OOPSLA), [124]. https://doi.org/10.1145/3360550

Møller, C., Højlund, A., Bærentsen, K. B., Hansen, N. C., Skewes, J. & Vuust, P. (2019). You get what you need: individual differences in visually-induced amplification of the auditory mismatch negativity. Poster session presented at Neuroscience Day 2019, Aarhus, Denmark.

Chatterjee, K., Ibsen-Jensen, R., Goharshady, A. K. & Pavlogiannis, A. (2018). Algorithms for Algebraic Path Properties in Concurrent Systems of Constant Treewidth Components. ACM Transactions on Programming Languages and Systems, 40(3), [9]. https://doi.org/10.1145/3210257

Chatterjee, K., Pavlogiannis, A., Koessler, A. & Schmid, U. (2018). Automated competitive analysis of real-time scheduling with graph games. Real-Time systems, 54(1), 166-207. https://doi.org/10.1007/s11241-017-9293-4

Pavlogiannis, A., Tkadlec, J., Chatterjee, K. & Nowak, M. A. (2018). Construction of arbitrarily strong amplifiers of natural selection using evolutionary graph theory. Communications Biology, 1, [71]. https://doi.org/10.1038/s42003-018-0078-7

Alimadadi, S., Zhong, D., Madsen, M. & Tip, F. (2018). Finding Broken Promises in Asynchronous JavaScript Programs. Proceedings of the ACM on Programming Languages , 2(OOPSLA), 162:1-162:26. [162]. https://doi.org/10.1145/3276532

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 [14] Association for Computing Machinery. PPDP '18 https://doi.org/10.1145/3236950.3236953

Petersen, B., Friis Andersen, A. S., Dietz, M., Højlund, A., Brattico, E., Haumann, N. T., Michel, F., Kamaric Riis, S. & Vuust, P. (2018). Musical Listening in Electric Hearing –Two Novel EEG Paradigms for Studying Music Discrimination in Cochlear Implant Users. Poster session presented at 2nd International Music and CI symposium, Montreal, Canada.

Chatterjee, K., Choudhary, B. & Pavlogiannis, A. (2018). Optimal Dyck Reachability for Data-Dependence and Alias Analysis. Proceedings of the ACM on Programming Languages, 2(POPL), [30]. https://dl.acm.org/doi/abs/10.1145/3158118

Møller, C., Højlund, A., Hansen, N. C. & Vuust, P. (2018). Pitch-related mismatch negativity as an index of musical aptitude. Poster session presented at MMN2018: The 8th Mismatch Negativity conference, Helsinki, Finland.

Adamsen, C. Q., Møller, A., Alimadadi, S. & Tip, F. (2018). Practical AJAX Race Detection for JavaScript Web Applications. In G. T. Leavens, A. Garcia & C. S. Păsăreanu (Eds.), Proc. 12th joint meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE) (pp. 38-48). Association for Computing Machinery. https://doi.org/10.1145/3236024.3236038

Li, Y., Tan, T., Møller, A. & Smaragdakis, Y. (2018). Precision-Guided Context Sensitivity for Pointer Analysis. Proceedings of the ACM on Programming Languages , 2(OOPSLA), 141:1-141:29. [141]. https://doi.org/10.1145/3276511

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. ISSTA 2018 https://doi.org/10.1145/3213846.3213847

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.), Proc. 12th joint meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE) (pp. 129-140). Association for Computing Machinery. https://doi.org/10.1145/3236024.3236041

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. CC 2018 https://doi.org/10.1145/3178372.3179499

Gansonre, C., Højlund, A., Leminen, A., Bailey, C. & Shtyrov, Y. (2018). Task-free auditory EEG paradigm for probing multiple levels of speech processing in the brain. Psychophysiology, 55(11), [e13216]. https://doi.org/10.1111/psyp.13216

Møller, A. (2018). Technical Perspective: WebAssembly: A Quiet Revolution of the Web. Communications of the A C M, 61(12), 106-106. https://doi.org/10.1145/3282508

Petersen, B., Friis Andersen, A. S., Dietz, M., Højlund, A., Brattico, E., Haumann, N. T., Michel, F., Kamaric Riis, S. & Vuust, P. (2018). The CI MuMuFe - a new MMN paradigm for measuring music discrimination in electric hearing. Poster session presented at MMN 2018: The 8th Mismatch Negativity Conference, Helsinki, Finland.

Gebauer, L., Højlund, A. & Vuust, P. (2018). The no-standard musical multi-feature paradigm (MuMUFE). Poster session presented at MMN 2018: The 8th Mismatch Negativity Conference, Helsinki, Finland.

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). [7] Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH. Leibniz International Proceedings in Informatics Vol. 109 https://doi.org/10.4230/LIPIcs.ECOOP.2018.7

Møller, C., Højlund, A., Bærentsen, K. B., Hansen, N. C., Skewes, J. C. & Vuust, P. (2018). Visually induced gains in pitch discrimination: Linking audio-visual processing with auditory abilities. Attention, Perception & Psychophysics, 80(4), 999-1010. https://doi.org/10.3758/s13414-017-1481-8

Andreasen, E., Gong, L., Møller, A., Pradel, M., Selakovic, M., Sen, K. & Staicu, C-A. (2017). A Survey of Dynamic Analysis and Test Generation for JavaScript. A C M Computing Surveys, 50(5), 66:1-66:36. https://doi.org/10.1145/3106739

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Brattico, E. & Vuust, P. (2017). A new multifeature mismatch negativity (MMN) paradigm for the study of music perception with more real-sounding stimuli. Poster session presented at Donders Discussions 2017, Nejmegen, Netherlands.

Pavlogiannis, A., Tkadlec, J., Chatterjee, K. & Nowak, M. A. (2017). Amplification on Undirected Population Structures: Comets Beat Stars. Scientific Reports, 7, 82. https://doi.org/10.1038/s41598-017-00107-w

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. ISSTA 2017 https://doi.org/10.1145/3092703.3098226

Højlund, A. & Østergaard, K. (2017, Jan 9). Comment on Brocker et al. (2017, Sci Transl Med) at alzforum.org. http://www.alzforum.org/news/research-news/parkinsons-syncopated-dbs-may-beat-current-standard#comment-22906

Sridharan, K. S., Højlund, A., Johnsen, E. L., Sunde, N., Johansen, L. G., Beniczky, S. & Østergaard, K. (2017). Differentiated effects of deep brain stimulation and medication on somatosensory processing in Parkinson's disease. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 128(7), 1327-1336. https://doi.org/10.1016/j.clinph.2017.04.014

Kristensen, E. K. & Møller, A. (2017). Inference and Evolution of TypeScript Declaration Files. In M. Huisman & J. Rubin (Eds.), Fundamental Approaches to Software Engineering: : 20th International Conference, FASE 2017, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2017, Uppsala, Sweden, April 22-29, 2017, Proceedings (Vol. 10202, pp. 99-115). Springer VS. Lecture Notes in Computer Science Vol. 10202 https://doi.org/10.1007/978-3-662-54494-5_6

Displaying results 51 to 100 out of 432

Revised 17.04.2023

Sofia Hedegaard Rasmussen

Department of Computer Science

Publications

Magnus Madsen

Andreas Pavlogiannis

Publications

Faculty

Magnus Madsen

Andreas Pavlogiannis