Genetic Programming Bibliography entries for Shin Yoo

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GP coauthors/coeditors: Gabin An, Jinhan Kim, Seongmin Lee, Aymeric Blot, Justyna Petke, David W Binkley, Nicolas E Gold, Syed Islam, Jens Krinke, Kabdo Choi, Jeongju Sohn, Angela Fan, Beliz Ugurhan Gokkaya, Mark Harman, Mitya Lyubarskiy, Shubho Sengupta, Jie Marina Zhang, Seunghee Han, Jaeuk Kim, Geon Kim, Jaemin Cho, JiIn Kim, Yue Jia, William B Langdon, Iman Hemati Moghadam, Fan Wu, Dahyun Kang, Sungmin Kang, Junhwi Kim, Michael G Epitropakis, Yunho Kim, Seokhyeon Mun, Moonzoo Kim, Westley Weimer, Erik M Fredericks, Emily Winter, Michail Basios, Myra B Cohen, Markus Wagner, Bobby R Bruce, Simos Gerasimou, Oliver Krauss, Yu Huang, Michael C Gerten, Jinsuk Lim, Terence Soule, Anne Auger, Jason H Moore, David A Pelta, Christine Solnon, Mike Preuss, Alan Dorin, Yew-Soon Ong, Christian Blum, Dario Landa-Silva, Frank Neumann, Tina Yu, Aniko Ekart, Will N Browne, Tim Kovacs, Man Leung Wong, Clara Pizzuti, Jonathan E Rowe, Tobias Friedrich, Giovanni Squillero, Nicolas Bredeche, Stephen L Smith, Alison A Motsinger, Jose A Lozano, Martin Pelikan, Silja Meyer-Nieberg, Christian Igel, Gregory S Hornby, Rene Doursat, Steven M Gustafson, Gustavo Olague, John A Clark, Gabriela Ochoa, Gisele L Pappa, Fernando G Lobo, Daniel R Tauritz, Jurgen Branke, Kalyanmoy Deb, David Robert White, Jeremy Singer, XiaoYuan Xie, Fei-Ching (Diana) Kuo, Tsong Yueh Chen,

Genetic Programming Articles by Shin Yoo

  1. Joengju Sohn and Shin Yoo. Empirical Evaluation of Fault Localisation Using Code and Change Metrics. IEEE Transactions on Software Engineering, 47(8):1605-1625, 2021. details

  2. William B. Langdon and Westley Weimer and Justyna Petke and Erik Fredericks and Seongmin Lee and Emily Winter and Michail Basios and Myra B. Cohen and Aymeric Blot and Markus Wagner and Bobby R. Bruce and Shin Yoo and Simos Gerasimou and Oliver Krauss and Yu Huang and Michael Gerten. Genetic Improvement @ ICSE 2020. SIGSOFT Software Engineering Notes, 45(4):24-30, 2020. details

  3. David Binkley and Nicolas Gold and Syed Islam and Jens Krinke and Shin Yoo. A comparison of tree- and line-oriented observational slicing. Empirical Software Engineering, 24:3077-3113, 2019. Special Section on Source Code Analysis and Manipulation. details

  4. Yunho Kim and Seokhyeon Mun and Shin Yoo and Moonzoo Kim. Precise Learn-to-Rank Fault Localization Using Dynamic and Static Features of Target Programs. ACM Transactions on Software Engineering and Methodology, 28(4):23:1-23:??, 2019. details

  5. Jinhan Kim and Shin Yoo. Software review: DEAP (Distributed Evolutionary Algorithm in Python) library. Genetic Programming and Evolvable Machines, 20(1):139-142, 2019. Software Review. details

  6. Shin Yoo and Xiaoyuan Xie and Fei-Ching Kuo and Tsong Yueh Chen and Mark Harman. Human Competitiveness of Genetic Programming in Spectrum Based Fault Localisation: Theoretical and Empirical Analysis. ACM Transactions on Software Engineering and Methodology, 26(1):4:1-4:30, 2017. Winner Silver Humie 2017. details

Genetic Programming Conference proceedings edited by Shin Yoo

Genetic Programming conference papers by Shin Yoo

  1. Shin Yoo. Executing One's Way out of the Chinese Room. In Gabin An and Aymeric Blot and Vesna Nowack and Oliver Krauss and and and Justyna Petke editors, 13th International Workshop on Genetic Improvement @ICSE 2024, page iv, Lisbon, 2024. ACM. Invited Keynote. details

  2. Sungmin Kang and Shin Yoo. Towards Objective-Tailored Genetic Improvement Through Large Language Models. In Vesna Nowack and Markus Wagner and Gabin An and Aymeric Blot and Justyna Petke editors, 12th International Workshop on Genetic Improvement @ICSE 2023, pages 19-20, Melbourne, Australia, 2023. IEEE. Best position paper. details

  3. Angela Fan and Beliz Gokkaya and Mark Harman and Mitya Lyubarskiy and Shubho Sengupta and Shin Yoo and Jie M. Zhang. Large Language Models for Software Engineering. In FoSE post conference proceedings, Melbourne, Australia, 2023. to appear. details

  4. Seunghee Han and Jaeuk Kim and Geon Kim and Jaemin Cho and Jiin Kim and Shin Yoo. Preliminary Evaluation of Path-aware Crossover Operators for Search-Based Test Data Generation for Autonomous Driving. In Jie M Zhang and Erik Fredericks editors, 2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing (SBST), internet, 2021. IEEE. details

  5. Gabin An and Aymeric Blot and Justyna Petke and Shin Yoo. PyGGI 2.0: Language Independent Genetic Improvement Framework. In Sven Apel and Alessandra Russo editors, Proceedings of the 27th Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering ESEC/FSE 2019), pages 1100-1104, Tallinn, Estonia, 2019. ACM. details

  6. Jeongju Sohn and Shin Yoo. Why Train-and-Select When You Can Use Them All?: Ensemble Model for Fault Localisation. In Manuel Lopez-Ibanez and Thomas Stuetzle and Anne Auger and Petr Posik and Leslie Peprez Caceres and Andrew M. Sutton and Nadarajen Veerapen and Christine Solnon and Andries Engelbrecht and Stephane Doncieux and Sebastian Risi and Penousal Machado and Vanessa Volz and Christian Blum and Francisco Chicano and Bing Xue and Jean-Baptiste Mouret and Arnaud Liefooghe and Jonathan Fieldsend and Jose Antonio Lozano and Dirk Arnold and Gabriela Ochoa and Tian-Li Yu and Holger Hoos and Yaochu Jin and Ting Hu and Miguel Nicolau and Robin Purshouse and Thomas Baeck and Justyna Petke and Giuliano Antoniol and Johannes Lengler and Per Kristian Lehre editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1408-1416, Prague, Czech Republic, 2019. ACM. details

  7. Jinhan Kim and Michael G. Epitropakis and Shin Yoo. Learning Without Peeking: Secure Multi-Party Computation Genetic Programming. In Thelma Elita Colanzi and Phil McMinn editors, SSBSE 2018, volume 11036, pages 246-261, Montpellier, France, 2018. Springer. details

  8. Kabdo Choi and Jeongju Sohn and Shin Yoo. Learning Fault Localisation for Both Humans and Machines using Multi-Objective GP. In Thelma Elita Colanzi and Phil McMinn editors, SSBSE 2018, volume 11036, pages 349-355, Montpellier, France, 2018. Springer. details

  9. Gabin An and Jinhan Kim and Shin Yoo. Comparing Line and AST Granularity Level for Program Repair using PyGGI. In Justyna Petke and Kathryn Stolee and William B. Langdon and Westley Weimer editors, GI-2018, ICSE workshops proceedings, pages 19-26, Gothenburg, Sweden, 2018. ACM. details

  10. Shin Yoo. Embedding Genetic Improvement into Programming Languages. In Justyna Petke and David R. White and W. B. Langdon and Westley Weimer editors, GI-2017, pages 1551-1552, Berlin, 2017. ACM. details

  11. Jinhan Kim and Junhwi Kim and Shin Yoo. GPGPGPU: Evaluation of Parallelisation of Genetic Programming using GPGPU. In Tim Menzies and Justyna Petke editors, Proceedings of the 9th International Symposium on Search Based Software Engineering, SSBSE 2017, volume 10452, pages 137-142, Paderborn, Germany, 2017. Springer. details

  12. Dahyun Kang and Jeongju Sohn and Shin Yoo. Empirical Evaluation of Conditional Operators in GP Based Fault Localization. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 1295-1302, Berlin, Germany, 2017. ACM. details

  13. Gabin An and Jinhan Kim and Seongmin Lee and Shin Yoo. PyGGI: Python General framework for Genetic Improvement. In Proceedings of Korea Software Congress, pages 536-538, Busan, South Korea, 2017. details

  14. Jin-Suk Lim and Shin Yoo. Field Report: Applying Monte Carlo Tree Search for Program Synthesis. In Federica Sarro and Kalyanmoy Deb editors, Proceedings of the 8th International Symposium on Search Based Software Engineering, SSBSE 2016, volume 9962, pages 304-310, Raleigh, North Carolina, USA, 2016. Springer. details

  15. Shin Yoo. Amortised Optimisation of Non-functional Properties in Production Environments. In Yvan Labiche and Marcio Barros editors, SSBSE, volume 9275, pages 31-46, Bergamo, Italy, 2015. Springer. details

  16. David R. White and Shin Yoo and Jeremy Singer. The Programming Game: Evaluating MCTS as an Alternative to GP for Symbolic Regression. In Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors, GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 1521-1522, Madrid, Spain, 2015. ACM. details

  17. Mark Harman and Yue Jia and William B. Langdon and Justyna Petke and Iman Hemati Moghadam and Shin Yoo and Fan Wu. Genetic Improvement for Adaptive Software Engineering. In Gregor Engels editor, 9th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS'14), pages 1-4, Hyderabad, India, 2014. ACM. Keynote. details

  18. Xiaoyuan Xie and Fei-Ching Kuo and Tsong Yueh Chen and Shin Yoo and Mark Harman. Provably Optimal and Human-Competitive Results in SBSE for Spectrum Based Fault Localisation. In Guenther Ruhe and Yuanyuan Zhang editors, Symposium on Search-Based Software Engineering, volume 8084, pages 224-238, Leningrad, 2013. Springer. details

  19. Shin Yoo. Evolving Human Competitive Spectra-Based Fault Localisation Techniques. In Gordon Fraser and Jerffeson Teixeira de Souza and Angelo Susi editors, 4th Symposium on Search Based Software Engineering, volume 7515, pages 244-258, Riva del Garda, Italy, 2012. Springer. details

Genetic Programming technical reports by Shin Yoo