• KIISE Transactions on Computing Practices
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• v.21 no.9
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• pp.616-621
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• 2015

Recently developed software systems have many components, and their complexity is thus increasing. Last year, about 375 bug reports in one day were reported to a software repository in Eclipse and Mozilla open source projects. With so many bug reports submitted, developers' time and efforts have increased unnecessarily. Since the bug severity is manually determined by quality assurance, project manager or other developers in the general bug fixing process, it is biased to them. They might also make a mistake on the manual decision because of the large number of bug reports. Therefore, in this study, we propose an approach of bug severity prediction to solve these problems. First, we find similar topics within a new bug report and reduce the candidate reports of the topic by using the meta field of the bug report. Next, we train the reduced reports by applying Naive Bayes Multinomial. Finally, we predict the severity of the new bug report. We compare our approach with other prediction algorithms by using bug reports in open source projects. The results show that our approach better predicts bug severity than other algorithms.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05b
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• pp.776-779
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• 2004

With the rapid progress of information technique, it is getting more difficult to protect information systems from cyber terrorism, because of bugs and vulnerabilities of software and the properties of cyberspace such as anonymity. furthermore cyber terror techniques are highly developed and complicated and their use for a malicious intent and a military purpose are increasing recently. Therefore a study of warfare attack technology on the cyber space is necessary for establishing trusted society and further national security. Specially, worms/viruses are becoming a more common occurrence on the cyber space. Also, The worm caused a great deal of damage to the large number of networks around the world in a very short period of time. Therefore, we will describe worms/viruses in the warfare attack technique in this paper.

• Korean Journal of Psychosomatic Medicine
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• v.11 no.1
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• pp.25-35
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• 2003

Objectives: The aim of this study was to investigate 1) the prevalence of depressive symptoms, 2) the severity of depressive symptoms, 3) the correlation of depressive symptoms with clinical variables, and 4) factors that contribute to depressive symptoms in patients with Parkinson's disease. Methods: One hundred eighteen patients with Parkinson's disease referred from the Parkinson's Disease Clinic of Dong-A University Hospital, Busan, Korea, completed a self-administered questionnaire package, which included basic demographic data, the Beck Depression Inventory, the Parkinson's disease quality of life questionnaire, the Symptom Checklist-90-Revision(SCL-90-R), and the Spielberger's State-Trait Anxiety Inventory. In addition, a structured interview and a complete neurological examination, including the Hoehn and Yahr stage, the motor part of the Unified Parkinson's Disease Rating Scale(some selected scales of UPDRS part III), the Schwab and England Activities of Daily Living scale(ADL), and the Korean version of Mini-Mental State Examination were performed. Results: 1) Based on BDI score, subjects were divided into four groups:severely(40.7%), moderately(13.6%) and mildly(12.7%) depressive and non-depressive(33.1%). 2) The severity of depressive symptom in Parkinson's disease was positively correlated with Hoehn and Yahr(H & Y) stage(r=0.34, p<0.0001), the severity of motor symptom(r=0.35, p<0.0001), and trait anxiety inventory(r=0.33, p<0.001). On the other hand, the severity of depressive symptom was negatively correlated with educational level(r=-0.34, p<0.001), ADL(r=-0.37, p<0.0001) and Parkinson's disease quality of life (PDQL)(r=-0.69, p<0.0001). Among several clinical variables, the PDQL was the most influential factor predicting whether the depressive symptom was present or not. Conclusion: This study suggests that depressive symptom is very prevalent among patients with Parkinson's disease. Data from this study indicate that medical staffs who take care of patients with Parkinson's disease should pay attention to finding and treating depressive symptom among their patients. With appropriate psychiatric intervention, patient's depressive symptom can be minimized or alleviated and thus, the quality of life in these patients is likely enhanced.