Dr Saemundur Haraldsson

Lecturer

Computing Science University of Stirling, Stirling, FK9 4LA

Dr Saemundur Haraldsson

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About me

About me

University of Stirling 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

http://www.sigevo.org/gecco-2015/


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 Proceeding

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 Proceeding

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: Proceedings of the 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. https://doi.org/10.1145/3540250.3558953

Conference Proceeding

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

Conference Proceeding

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

Conference Proceeding

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 Proceeding

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 Proceeding

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 Proceeding

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 Proceeding

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 Proceeding

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 Proceeding

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