Genetic Programming Bibliography entries for Jeongju Sohn
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Genetic Programming Articles by Jeongju Sohn
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.
Genetic Programming PhD doctoral thesis Jeongju Sohn
Synergetic Interaction Between Fault Localization and Defect Prediction. PhD thesis,
COINSE Lab, School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea, 2021.
Genetic Programming conference papers by Jeongju Sohn
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.
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.
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.