我要吃瓜

Dr Saemundur Haraldsson

Lecturer

Computing Science 我要吃瓜, Stirling, FK9 4LA

Dr Saemundur Haraldsson

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我要吃瓜 me

我要吃瓜 PhD in Computer Science University of Iceland MSc in Industrial Engineering University of Iceland BS in Industrial Engineering

Event / Presentation

Genetic Improvement of Energy Usage is only as Reliable as the Measurements are Accurate. GECCO 2015: Genetic and Evolutionary Computation Conference


Research

My primary research focus is in the application of AI and intelligent systems in Health Care and Search Based Software Engineering

Outputs (17)

Outputs

Conference Paper (published)

Nowack V, Bowes D, Counsell S, Hall T, Haraldsson S, Winter E & Woodward J (2022) Expanding Fix Patterns to Enable Automatic Program Repair. In: Jin Z, Li X, Xiang J, Mariani L, Liu T, Yu X & Ivaki N (eds.) 32nd IEEE International Symposium on Software Reliability Engineering, ISSRE 2021. 2021 IEEE 32nd International Symposium on Software Reliability Engineering (ISSRE), Wuhan, China, 25.10.2021-28.10.2021. Piscataway, NJ, USA: IEEE Computer Society, pp. 12-23. https://doi.org/10.1109/ISSRE52982.2021.00015


Conference Paper (published)

Winter ER, Nowack V, Bowes D, Counsell S, Hall T, Haraldsson S, Woodward J, Kirbas S, Windels E, McBello O, Atakishiyev A, Kells K & Pagano M (2022) Towards Developer-Centered Automatic Program Repair: Findings from Bloomberg. In: ESEC/FSE 2022: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. ESEC/FSE ’22, Singapore, 14.11.2022-18.11.2022. New York: ACM, pp. 1578-1588. https://doi.org/10.1145/3540250.3558953


Conference Paper (published)

Brownlee A, Adair J, Haraldsson S & Jabbo J (2021) Exploring the Accuracy - Energy Trade-off in Machine Learning. In: 2021 IEEE/ACM International Workshop on Genetic Improvement (GI). Genetic Improvement Workshop at 43rd International Conference on Software Engineering, Madrid, Spain, 30.05.2021-30.05.2021. Piscataway, NJ: IEEE. https://doi.org/10.1109/GI52543.2021.00011


Article

Kirbas S, Windels E, McBello O, Kells K, Pagano M, Szalanski R, Nowack V, Winter E, Counsell S, Bowes D, Hall T, Haraldsson S & Woodward J (2021) On the Introduction of Automatic Program Repair in Bloomberg. IEEE Software, 38 (4), pp. 43-51. https://doi.org/10.1109/ms.2021.3071086


Conference Paper (published)

Haraldsson SO, Woodward JR & Wagner M (2020) Genetic improvement: Taking real-world source code and improving it using genetic programming. In: 2020 Genetic and Evolutionary Computation Conference, GECCO 2020. 2020 Genetic and Evolutionary Computation Conference, Cancun, Mexico, 08.07.2020-12.07.2020. New York: ACM, pp. 801-831. https://doi.org/10.1145/3377929.3389885


Article

Petke J, Haraldsson S, Harman M, Langdon WB, White D & Woodward J (2018) Genetic Improvement of Software: a Comprehensive Survey. IEEE Transactions on Evolutionary Computation, 22 (3), pp. 415-432. https://doi.org/10.1109/TEVC.2017.2693219


Conference Paper (published)

Haraldsson S, Brynjolfsdottir RD, Gudnason V, Tomasson K & Siggeirsdottir K (2018) Predicting Changes in Quality of Life for Patients in Vocational Rehabilitation. In: EAIS 2018 proceedings. Evolving and Adaptive Intelligent Systems, Rhodes, Greece, 25.05.2018-27.05.2018. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/EAIS.2018.8397182


Conference Paper (published)

Haraldsson S, Woodward J, Brownlee A & Siggeirsdottir K (2017) Fixing bugs in your sleep: How genetic improvement became an overnight success. In: 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017. GECCO 2017: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: Association for Computing Machinery, Inc, pp. 1513-1520. https://doi.org/10.1145/3067695.3082517


Conference Paper (published)

Haraldsson S, Woodward J, Brownlee A, Smith AV & Gudnason V (2017) Genetic Improvement of Runtime and its Fitness Landscape in a Bioinformatics Application. In: 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017. GECCO 2017: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: Association for Computing Machinery, Inc, pp. 1521-1528. https://doi.org/10.1145/3067695.3082526


Conference Paper (published)

Haraldsson S, Brynjolfsdottir RD, Woodward J, Siggeirsdottir K & Gudnason V (2017) The use of predictive models in dynamic treatment planning. In: 2017 IEEE Symposium on Computers and Communications (ISCC). IEEE Symposium on Computers and Communications (ISCC 2017), Heraklion, Greece, 03.07.2017-06.07.2017. Piscataway, NJ, USA: IEEE, pp. 242-247. https://doi.org/10.1109/ISCC.2017.8024536


Conference Paper (published)

Haraldsson S, Woodward J, Brownlee A & Cairns D (2017) Exploring Fitness and Edit Distance of Mutated Python Programs. In: McDermott J, Castelli M, Sekanina L, Haasdijk E & García-Sánchez P (eds.) Genetic Programming: 20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings. Lecture Notes in Computer Science, 10196. EuroGP 2017: Genetic Programming, Amsterdam, The Netherlands, 19.04.2017-21.04.2017. Cham: Springer International Publishing, pp. 19-34. https://doi.org/10.1007/978-3-319-55696-3_2


Conference Paper (published)

Haraldsson S & Woodward J (2015) Genetic Improvement of Energy Usage is only as Reliable as the Measurements are Accurate. In: Silva S (ed.) GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation. GECCO 2015: Genetic and Evolutionary Computation Conference, Madrid, Spain, 11.07.2015-15.07.2015. New York: ACM, pp. 821-822. http://dl.acm.org/citation.cfm?id=2768421; https://doi.org/10.1145/2739482.2768421


Conference Paper (published)

Haraldsson SO & Woodward JR (2014) Automated design of algorithms and genetic improvement: contrast and commonalities. In: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation. GECCO 2014: 2014 Annual Conference on Genetic and Evolutionary Computation, Vancouver, BC, Canada, 12.07.2014-16.07.2014. New York: ACM, pp. 1373-1380. https://doi.org/10.1145/2598394.2609874


Conference Paper (published)

Attila Kocsis Z, Neumann G, Swan J, Epitropakis M, Brownlee A, Haraldsson S & Bowles E (2014) Repairing and Optimizing Hadoop hashCode Implementations. In: Le GC & Yoo S (eds.) Search-Based Software Engineering: 6th International Symposium, SSBSE 2014, Fortaleza, Brazil, August 26-29, 2014. Proceedings. 6th International Symposium, SSBSE 2014, Fortaleza, Brazil, 26.08.2014-29.08.2014. Berlin Heidelberg: Springer, pp. 259-264. http://link.springer.com/chapter/10.1007/978-3-319-09940-8_21; https://doi.org/10.1007/978-3-319-09940-8_21