Jongmoon Baik, Ph.D.

2000 University of Southern California, Los Angeles, CA, United States 
Computer Science, System Science Engineering
"Jongmoon Baik"


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Barry Boehm grad student 2000 USC
 (The effects of CASE tools on software development effort.)


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Taeho Lee grad student 2007-2013 KAIST
Jinhee Park grad student 2012-2016 KAIST
Duksan Ryu grad student 2012-2016 KAIST
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Yang J, Ryu D, Baik J. (2016) Improving vulnerability prediction accuracy with Secure Coding Standard violation measures 2016 International Conference On Big Data and Smart Computing, Bigcomp 2016. 115-122
Ryu D, Choi O, Baik J. (2016) Value-cognitive boosting with a support vector machine for cross-project defect prediction Empirical Software Engineering. 21: 43-71
Go K, Kang S, Baik J, et al. (2016) Pairwise testing for systems with data derived from real-valued variable inputs Software - Practice and Experience. 46: 381-403
Yoon YR, Baik JH. (2015) Melanocortin 4 Receptor and Dopamine D2 Receptor Expression in Brain Areas Involved in Food Intake. Endocrinology and Metabolism (Seoul, Korea). 30: 576-83
Lee K, Park J, Baik J. (2015) Location-Based Web Service QoS Prediction via Preference Propagation for Improving Cold Start Problem Proceedings - 2015 Ieee International Conference On Web Services, Icws 2015. 177-184
Lee K, Choi O, Baik J. (2015) Service reliability prediction method for service-oriented multi-agent system Proceedings - 17th Ieee International Conference On Computational Science and Engineering, Cse 2014, Jointly With 13th Ieee International Conference On Ubiquitous Computing and Communications, Iucc 2014, 13th International Symposium On Pervasive Systems, Algorithms, and Networks, I-Span 2014 and 8th International Conference On Frontier of Computer Science and Technology, Fcst 2014. 653-660
Baik J, Choi M. (2015) Evaluation of remotely sensed actual evapotranspiration products from COMS and MODIS at two different flux tower sites in Korea International Journal of Remote Sensing. 36: 375-402
Park J, Baik J. (2015) Improving software reliability prediction through multi-criteria based dynamic model selection and combination Journal of Systems and Software. 101: 236-244
Baik J, Choi M. (2015) Spatio-temporal variability of remotely sensed precipitation data from COMS and TRMM: Case study of Korean peninsula in East Asia Advances in Space Research. 56: 1125-1138
Ryu D, Baik J. (2015) Effective multi-objective naïve Bayes learning for cross-project defect prediction Applied Soft Computing Journal
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