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 Sunghun Kim

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Bibliometrics: publication history
Average citations per article4.67
Citation Count28
Publication count6
Publication years2010-2016
Available for download3
Average downloads per article448.67
Downloads (cumulative)1,346
Downloads (12 Months)493
Downloads (6 Weeks)39
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1 published by ACM
May 2018 ICSE '18: Proceedings of the 40th International Conference on Software Engineering
Publisher: ACM
Citation Count: 2
Downloads (6 Weeks): 35,   Downloads (12 Months): 436,   Downloads (Overall): 436

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To implement a program functionality, developers can reuse previously written code snippets by searching through a large-scale codebase. Over the years, many code search tools have been proposed to help developers. The existing approaches often treat source code as textual documents and utilize information retrieval models to retrieve relevant code ...
Keywords: code search, deep learning, joint embedding

November 2016 IEEE Transactions on Software Engineering: Volume 42 Issue 11, November 2016
Publisher: IEEE Press
Citation Count: 2

To facilitate software quality assurance, defect prediction metrics, such as source code metrics, change churns, and the number of previous defects, have been actively studied. Despite the common understanding that developer behavioral interaction patterns can affect software quality, these widely used defect prediction metrics do not consider developer behavior. We ...

March 2014 Software—Practice & Experience: Volume 44 Issue 3, March 2014
Publisher: John Wiley & Sons, Inc.
Citation Count: 0

Our knowledge as to how to solve software engineering problems is increasingly being encapsulated in tools. These tools are at their strongest when they operate in a preexisting development that can provide integration with existing elements such as compilers, debuggers, profilers, and visualizers as well as numerous other development and, ...
Keywords: plug-ins, development environments, tools, software engineering

4 published by ACM
September 2012 PROMISE '12: Proceedings of the 8th International Conference on Predictive Models in Software Engineering
Publisher: ACM
Citation Count: 1
Downloads (6 Weeks): 1,   Downloads (12 Months): 22,   Downloads (Overall): 315

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Defect prediction has been a very active research area in software engineering [6--8, 11, 13, 16, 19, 20]. In 1971, Akiyama proposed one of the earliest defect prediction models using Lines of Code (LOC) [1]: "Defect = 4.86 + 0.018LOC." Since then, many effective new defect prediction models and metrics ...

5 published by ACM
September 2012 ASE 2012: Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
Publisher: ACM
Citation Count: 9
Downloads (6 Weeks): 2,   Downloads (12 Months): 19,   Downloads (Overall): 274

Full text available: PDFPDF
Recently, many automatic test generation techniques have been proposed, such as Randoop, Pex and jCUTE. However, usually test coverage of these techniques has been around 50-60% only, due to several challenges, such as 1) the object mutation problem, where test generators cannot create and/or modify test inputs to desired object ...
Keywords: Testing, Code Coverage, Human Computation

6 published by ACM
September 2012 ASE 2012: Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
Publisher: ACM
Citation Count: 10
Downloads (6 Weeks): 1,   Downloads (12 Months): 16,   Downloads (Overall): 321

Full text available: PDFPDF
Software crash is one of the most severe bug manifestations and developers want to fix crash bugs quickly and efficiently. The Crash Reporting System (CRS) is widely deployed for this purpose. Even with the help of CRS, fixes are largely by manual effort, which is error-prone and results in recurring ...
Keywords: Crash, bug, crash reporting system

July 2010 IEEE Software: Volume 27 Issue 4, July 2010
Publisher: IEEE Computer Society Press
Citation Count: 3

Quality control charts, especially c-charts, can help monitor software quality evolution for defects over time. c-charts of the Eclipse and Gnome systems showed that for systems experiencing active maintenance and updates, quality evolution is complicated and dynamic. The authors identify six quality evolution patterns and describe their implications. Quality assurance ...
Keywords: maintenance management, quality evolution, statistical process control, maintenance management, software quality, software quality assurance, quality evolution, statistical process control, software engineering, software quality, software quality assurance, software engineering

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