| Year |
Citation |
Score |
| 2018 |
Ryu D, Lee K, Baik J. Location-based Web Service QoS Prediction via Preference Propagation to address Cold Start Problem Ieee Transactions On Services Computing. 1-1. DOI: 10.1109/Tsc.2018.2821686 |
0.55 |
|
| 2016 |
Yang J, Ryu D, Baik J. Improving vulnerability prediction accuracy with Secure Coding Standard violation measures 2016 International Conference On Big Data and Smart Computing, Bigcomp 2016. 115-122. DOI: 10.1109/BIGCOMP.2016.7425809 |
0.364 |
|
| 2016 |
Ryu D, Choi O, Baik J. Value-cognitive boosting with a support vector machine for cross-project defect prediction Empirical Software Engineering. 21: 43-71. DOI: 10.1007/S10664-014-9346-4 |
0.661 |
|
| 2016 |
Go K, Kang S, Baik J, Kim M. Pairwise testing for systems with data derived from real-valued variable inputs Software - Practice and Experience. 46: 381-403. DOI: 10.1002/Spe.2295 |
0.302 |
|
| 2015 |
Kim T, Lee K, Baik J. An effective approach to estimating the parameters of software reliability growth models using a real-valued genetic algorithm Journal of Systems and Software. 102: 134-144. DOI: 10.1016/J.Jss.2015.01.001 |
0.321 |
|
| 2015 |
Park J, Baik J. Improving software reliability prediction through multi-criteria based dynamic model selection and combination Journal of Systems and Software. 101: 236-244. DOI: 10.1016/J.Jss.2014.12.029 |
0.597 |
|
| 2015 |
Ryu D, Baik J. Effective multi-objective naïve Bayes learning for cross-project defect prediction Applied Soft Computing Journal. DOI: 10.1016/J.Asoc.2016.04.009 |
0.635 |
|
| 2015 |
Ryu D, Jang JI, Baik J. A Hybrid Instance Selection Using Nearest-Neighbor for Cross-Project Defect Prediction Journal of Computer Science and Technology. 30: 969-980. DOI: 10.1007/S11390-015-1575-5 |
0.622 |
|
| 2015 |
Ryu D, Jang JI, Baik J. A transfer cost-sensitive boosting approach for cross-project defect prediction Software Quality Journal. DOI: 10.1007/S11219-015-9287-1 |
0.648 |
|
| 2014 |
Oh J, Baik J, Lim SH. A model independent S/W framework for search-based software testing. Thescientificworldjournal. 2014: 126348. PMID 25302314 DOI: 10.1155/2014/126348 |
0.408 |
|
| 2014 |
Park J, Lee N, Baik J. On the long-term predictive capability of data-driven software reliability model: An empirical evaluation Proceedings - International Symposium On Software Reliability Engineering, Issre. 45-54. DOI: 10.1109/ISSRE.2014.28 |
0.344 |
|
| 2014 |
Lee T, Gu T, Baik J. MND-SCEMP: An empirical study of a software cost estimation modeling process in the defense domain Empirical Software Engineering. 19: 213-240. DOI: 10.1007/S10664-012-9220-1 |
0.578 |
|
| 2013 |
Kang M, Choi O, Shin J, Baik J. Improvement of Software Reliability Estimation Accuracy with Consideration of Failure Removal Effort International Journal of Networked and Distributed Computing. 1: 25. DOI: 10.2991/Ijndc.2013.1.1.4 |
0.391 |
|
| 2012 |
Kang S, Choi O, Baik J. Model based estimation and tracking method for agile software project International Journal of Human Capital and Information Technology Professionals. 3: 1-15. DOI: 10.4018/Jhcitp.2012040101 |
0.386 |
|
| 2012 |
Lee T, Lee S, Kim S, Baik J. A Distributed Parallel Simulation Environment for Interoperability and Reusability of Models in Military Applications Defence Science Journal. 62: 412-419. DOI: 10.14429/Dsj.62.1477 |
0.515 |
|
| 2011 |
Lee W, Lee JK, Baik J. Software reliability prediction for open source software adoption systems based on early lifecycle measurements Proceedings - International Computer Software and Applications Conference. 366-371. DOI: 10.1109/COMPSAC.2011.55 |
0.316 |
|
| 2010 |
Gu T, Kim S, Baik J. Adaptive practice on software reliability based on IEEE Std. 1633 in frequent requirement modifications Studies in Computational Intelligence. 317: 1-11. DOI: 10.1007/978-3-642-15405-8_1 |
0.393 |
|
| 2009 |
Lee D, Baik J, Shin JH. Software reliability assurance using a framework in weapon system development: A case study Proceedings of the 2009 8th Ieee/Acis International Conference On Computer and Information Science, Icis 2009. 989-995. DOI: 10.1109/ICIS.2009.168 |
0.307 |
|
| 2008 |
Kim S, In HP, Baik J, Kazman R, Han K. VIRE: Sailing a blue ocean with value-innovative requirements Ieee Software. 25: 80-87. DOI: 10.1109/Ms.2008.27 |
0.555 |
|
| 2006 |
In HP, Baik J, Kim S, Yang Y, Boehm B. A quality-based cost estimation model for the product line life cycle Communications of the Acm. 49. DOI: 10.1145/1183236.1183273 |
0.619 |
|
| 2002 |
Baik J, Boehm B, Steece BM. Disaggregating and calibrating the CASE tool variable in COCOMO II Ieee Transactions On Software Engineering. 28: 1009-1022. DOI: 10.1109/Tse.2002.1049401 |
0.564 |
|
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