• International Journal of Reliability and Applications
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• v.7 no.2
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• pp.155-166
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• 2006

Many software reliability growth models (SRGMs) based on nonhomogeneous Poisson process (NHPP) have been developed and applied in practice. NHPP SRGMs are characterized by their mean value functions. Mean value functions are usually derived from differential equations representing the fault detection/removal process during testing. In this paper such differential equations are regarded as frameworks for generating mean value functions. Currently available frameworks are theoretically discussed with respect to capability of representing the fault detection/removal process. Then two general frameworks are proposed.

• Journal of Information Technology Applications and Management
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• v.11 no.4
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• pp.87-94
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• 2004

The software reliability growth model(SRGM) has been developed in order to estimate such reliability measures as remaining fault number, failure rate and reliability for the developing stage software. Almost of them assumed that the faults detected during testing were evetually removed. Namely, they have studied SRGM based on the assumption that the faults detected during testing were perfectly removed. The fault removing efficiency. however. IS imperfect and it is widely known as so in general. It is very difficult to remove detected fault perfectly because the fault detecting is not easy and new error may be introduced during debugging and correcting. Therefore, the fault detecting efficiency may influence the SRGM or cost of developing software. It is a very useful measure for the developing software. much helpful for the developer to evaluate the debugging efficiency, and, moreover, help to additional workloads necessary. Therefore. it is very important to evaluate the effect of imperfect dubugging in point of SRGM and cost. and may influence the optimal release time and operational budget. I extent and study the generally used reliability and cost models to the imperfect debugging range in this paper.

• Journal of Korea Multimedia Society
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• v.20 no.12
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• pp.1970-1979
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• 2017

Computerization of educational administration following educational informatization of government has been steadily improved for the purpose of teachers' offload and job efficiency, finally resulting that NEIS(National Education Information System) has been completed. The NEIS consists of Nationwide service of NEIS, Business portal system of NEIS, Authentication management system and so on. Students, parents and civil petitioners handle civil affairs through Nationwide service of NEIS and teachers and persons of task conduct theirs business by accessing the Business portal system of NEIS. At this time, users have to obtain their certification from Authentication management system. Previous Studies were mainly focused on the evaluation about its performance according to the introduction of NEIS. But from now on there is a growing interest in security assessment and an efficient method for security improvement to check if NEIS works properly. Therefore, in this thesis, we'll propose an analytic framework in which security assessment is carried out after comprehending the fault structures through performing Fault Fishbone Analysis based on the Fault Tree Analysis. As a result of the system applied, the system had the highest rate of improvement to 47.7 percent.