• Journal of Information Technology Applications and Management
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• v.11 no.2
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• pp.15-27
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• 2004

Most software projects inevitably involve various types and degrees of uncertainty. Without proper risk assessment and coordination, software projects can easily run out of control and consume significant additional resource. Thus, risk management techniques are critical issues to information system researchers. Previous empirical studies of U.S. software firms support the adoption of development standardization and user requirement analysis techniques in risk-based software project management. Using data collected from software projects developed in Korea during 1999-2000, we conduct a comparative study to determine how risk management strategies impact software product and process performance in countries with dissimilar IT capabilities. In addition, we offer an alternative conceptualization of residual performance risk. We show that the use of residual performance risk as an intervening variable is inappropriate in IT developing countries like Korea where the role of late stage risk control remedies are critical. A revised model is proposed that generates more reliable empirical implications for Korean software projects.

• Journal of Digital Convergence
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• v.10 no.3
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• pp.137-142
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• 2012

This paper proposes a software development guidance and an evaluation index for the productivity related to Spring 2.5 and EJB 3.0 with same lightweight container architecture. Spring is a known successful open source standard model for lightweight container architecture. EJB in an enterprise environment as a standard framework is most commonly used in production. However, there is no comparison research about the performance of Spring 2.5 and EJB 3.0 Framework with same identical platform. Quantitative analysis is supported as a part of LoC(Line of Code) analysis. There is a limit to develop the updated software with no the specific evaluating index for the productivity of the software. In this study, the development platform environment based on the same pilot system Spring 2.5 and EJB 3.0 framework is in the design and implementation. In addition, comparison and standardization of software development productivity assessment is to provide guidance.

• The Transactions of the Korea Information Processing Society
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• v.6 no.3
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• pp.615-621
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• 1999

On the aspect of on-time and development resource use, it is very important to predict the software release time during the software development process. In this paper, we present the optimal release problem based on the evaluation indicator and cost evaluation. And also we show the optimal release point considered with both of them. We applied the Exponential Software Reliability Growth Model(E-SRGM) and Testing-effort dependent Software Reliability Growth Model(Te-SRGM) and decided the software release time according to software reliability indicator. As a result of two models comparison, we verify the Te-SRGM is more adopted in our switching system software.

• Journal of Software Engineering Society
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• v.25 no.3
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• pp.59-62
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• 2012

We propose a novel metric for quantitatively comparing different clustered results generated from software clustering algorithms. A quantitative evaluation of software clustering helps understanding of architectural changes of software. The concept of split, which has been used for analysis of genetic characters in bio-informatics, is applied in the analysis of software architecture.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.5
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• pp.696-702
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• 2014

Recently, researches on analyzing relationship between the state of emotion and musical stimuli using EEG are increasing. A selection of feature vectors is very important for the performance of EEG pattern classifiers. This paper proposes a comparison of EEG feature vectors for emotion classification according to music listening. For this, we extract some feature vectors like DAMV, IAV, LPC, LPCC from EEG signals in each class related to music listening and compare a separability of the extracted feature vectors using Bhattacharyya distance. So more effective feature vectors are recommended for emotion classification according to music listening.

• Computers and Concrete
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• v.24 no.3
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• pp.259-269
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• 2019

The work aims at the comparison among commonly used research programs concerning moment-curvature ($M-{\chi}$) diagrams of confined R.C. members. The software considered in this work are Sap2000, SeismoStruct and Opensees. The curves provided by these software, given the same modelling, have been compared to those provided by a theoretical fiber model. A parametric analysis has been led on rectangular column sections with different level of axial load and different stirrups spacing. The accuracy of the modelling of the considered structural programs has been investigated by comparing their results with those obtained by applying the theoretical fiber model.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.366-369
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• 2022

The glut of information aggravated the process of data analysis and other procedures including data mining. Many algorithms were devised in Big Data and Data Mining to solve such an intricate problem. In this paper, we conducted research about the comparison of several similarity measures and community detection algorithms in collaborative filtering for movie recommendation systems. Movielense data set was used to do an empirical experiment. We applied three different similarity measures: Cosine, Euclidean, and Pearson. Moreover, betweenness and eigenvector centrality were used to detect communities from the network. As a result, we elucidated which algorithm is more suitable than its counterpart in terms of recommendation accuracy.

• KIISE Transactions on Computing Practices
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• v.21 no.2
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• pp.115-120
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• 2015

The Testing Frontier Capability Assessment Model (TCAM) is based on ISO/IEC 9126, TMMi and TPI. Since ISO/IEC 9126, TMMi and TPI were made over 10 years ago, TCAM faces the problem that it can not assess and analyze the capability of small businesses that employ new software development methods or processes, for example Agile, TDD(Test Driven Development), App software, and Web Software. In this paper, a method to improve the problem is proposed. The paper is composed of the following sections: 1) ISO/IEC 9126, ISO/IEC 25010 and ISO/IEC/IEEE 29119 part 2 review 2) TCAM review 3) software product quality perspective comparison, and analysis between ISO/IEC 9126, ISO/IEC 25010 and TCAM 4) comparison, and analysis between ISO/IEC/IEEE 29119 part2 and TCAM and 5) proposal for the improvement of TCAM.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.6
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• pp.18-27
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• 2020

This study compared and analyzed the results of proficiency testing between testers based on the international standard ISO/IEC 17043 proficiency testing requirements using ISO/IEC 25023 software quality characteristics evaluation. Application of the test was submitted to the KASTO as a software test in the electric test field defined by KOLAS. Among ISO/IEC 25023, the evaluation items for proficiency testing between testers were selected as functional completeness and time behavior. The comparison test between testers was carried out on May 28, 2019 at the accredited LG Electronics SW Laboratory in Seoul and attended by KOLAS assessors. The test evaluation method was measured once per tester with functional completeness, and measurement was repeated 10 times per tester according to time behavior. As a result, in the case of functional completeness, all 12 test steps were passed, and the satisfaction was evaluated. Time behavior was repeated 10 times, and the mean was 9.45 ± 0.01 seconds for testers 1 and 3 and 9.52 ± 0.0 seconds for tester 2, but there was no statistically significant difference. In conclusion, the proficiency of the testers was equal, and the reliability of the test results of the test institute was confirmed.

• Journal of Korean Society for Quality Management
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• v.34 no.3
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• pp.73-78
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• 2006

In this paper, we propose a software reliability growth model based on the testing domain in the software system, which is isolated by the executed test cases in software testing. In particular, our model assumes an imperfect debugging environment in which new faults are introduced in the fault-correction process, and is formulated as a nonhomogeneous Poisson process(NHPP). Further, it is applied to fault-detection data, the results of software reliability assessment are shown, and comparison of goodness-of-fit with the existing software reliability growth model is performed.