• Journal of the Korea Society of Computer and Information
• /
• v.25 no.11
• /
• pp.147-155
• /
• 2020

System support software is one of the software that makes up ship combat management system and has the characteristics of being mounted in the combat management systems of all ships but with little functional change. However, despite these characteristics, software modifications due to equipment, etc. are inevitable in the application of new ships. Modification of software causes software reliability testing which is a key factor in increasing development costs. In this paper, the structure of the existing system support software was analyzed to identify and supplement the code change factors, and the system support standardization architecture was designed. The feature model elicited common and variable elements of system support software, and applied white-box reuse to improve software design. In addition, the results of comparing existing system support software with the new architecture in terms of development elements and time to perform reliability test were presented to verify the effectiveness of the new one.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.4
• /
• pp.175-182
• /
• 2018

In this paper, we propose a software education ecosystem model for activating software education donation. First, in order to investigate current software education donation status, we will conduct a survey on software education donors and analyze the results. 39.6% of the software education donors responded that they were introduced to software education donation activities through their affiliated companies, institutions, organizations. Therefore, it can be seen that the promotion of software education donation activities is the most effective by promoting through software companies, organizations, and organizations and using human networks. The subjects of software education donation activities were the highest at middle school students (73.9%), and the contents of software education donations were the highest at programming practice (63.3%). Donors' satisfaction with software education donation activities was 57.9%. The social support for SW education donors was in the order of software education contents support, activity cost support, equipment and network support, and place sponsorship. 87.4% of donors were willing to continue to donate to software education. The reason why they did not want to continue donating software education was 'lack of personal time' (65.4%). Therefore, it is necessary to develop appropriate social support and incentive system to overcome shortage of personal time in order to activate software education contribution. In order to promote sustainable software education donations, it is essential to establish a virtuous circle of software education donation ecosystem based on cooperation and solidarity with various organizations such as government, corporations, institutions, universities and civil society organizations.

• Journal of the Korea Society of Computer and Information
• /
• v.22 no.11
• /
• pp.161-168
• /
• 2017

In this paper, we propose a Software Education Program for the Education Welfare Priority Support students. Elementary school students of education welfare priority support programs has low school satisfaction level and course maturity. Also, they have various problem such as relatively large digital divide when compared to general student. To solve such problem, we designed, developed, and applied a software education program on education welfare priority support program's elementary school students to analyze its effect on their learning motivation, self-efficacy, and goal orientation. Software education program followed the main stages of ADDIE model and was designed into experience Sharing, Requirements analysis, Sharing, Grouping, and Organizing. 20 of 6th graders in education welfare priority support programs were chosen as subject for software education program. The effectiveness has been analyzed through pre, and pro test. As a result of the analysis, we found that the developed software education program has meaningful effect on Learning Motivation, Self-efficacy, and Goal Orientation of education welfare priority support program's elementary students.

• Journal of Applied Reliability
• /
• v.17 no.4
• /
• pp.296-304
• /
• 2017

Purpose: Recent weapon systems in defense have increased the complexity and importance of software when developing multifunctional equipment. In this study, we analyze the accuracy of the proposed software reliability model when applied to weapon systems. Methods: Determine the similarity between software reliability analysis results (prediction/estimation) utilizing data from developing weapon systems and system failures data during operation of weapon systems. Results: In case of a software reliability prediction model, the predicted failure rate was higher than the actual failure rate, and the estimation model was consistent with actual failure history data. Conclusion: The software prediction model needs to adjust the variables that are appropriate for the domestic weapon system environment. As the reliability of software is increasingly important in the defense industry, continuous efforts are needed to ensure accurate reliability analysis in the development of weapon systems.

• Asia pacific journal of information systems
• /
• v.23 no.1
• /
• pp.1-19
• /
• 2013

The market for commercial open source software (OSS) has been rapidly growing with the proliferation of OSS. One way to commercialize OSS is the support model, which has been adopted by leading OSS firms such as Red Hat and JBoss. Despite the growing interest in OSS commercialization, little research has provided OSS support providers with a pricing guideline. In this paper, we examine the optimal pricing strategies for OSS support providers. Our benchmark is a monopoly case in which we investigate a startup software vendor's incentive to choose the OSS support regime over the proprietary one. Then we extend the model to a duopoly case in which OSS under the support regime competes against proprietary software. We characterize the conditions under which the OSS support model is viable under competition. We believe that our results offer insights to the OSS vendors who consider commercializing their OSS with a support model.

• Journal of Information Technology Services
• /
• v.8 no.4
• /
• pp.129-140
• /
• 2009

The accurate estimation of software reliability is important to a successful development in software engineering. Until recent days, the models using regression analysis based on statistical algorithm and machine learning method have been used. However, this paper estimates the software reliability using support vector regression, a sort of machine learning technique. Also, it finds the best set of optimized parameters applying immune algorithm, changing the number of generations, memory cells, and allele. The proposed IA-SVR model outperforms some recent results reported in the literature.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.15 no.9
• /
• pp.5726-5737
• /
• 2014

The increasing importance of software has highlighted the need for the proper application of software ILS. On the other hand, the development of ILS has been somewhat limited to the area of hardware development. Therefore, this study examined the potential difficulties in applying software ILS to practical uses, and analyzed the drawbacks by reporting several domestic or foreign regulation cases. In addition, the differences between hardware and software ILS were examined by considering their characteristics of maintenance. Eventually, by establishing the proper range, this study proposes a development plan that is suitable for domestic weapon systems. The proposed research is expected to be helpful for offering specific plans for designing software ILS.

• Korean Management Science Review
• /
• v.23 no.2
• /
• pp.75-91
• /
• 2006

The purpose of this paper is to propose a new software development cost estimation method using SVR(Support Vector Regression) SVR, one of machine learning techniques, has been attracting much attention for its theoretic clearness and food performance over other machine learning techniques. This paper may be the first study in which SVR is applied to the field of software cost estimation. To derive the new method, we analyze historical cost data including both well-known overseas and domestic software projects, and define cost drivers affecting software cost. Then, the SVR model is trained using the historical data and its estimation accuracy is compared with that of the linear regression model. Experimental results show that the SVR model produces more accurate prediction than the linear regression model.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.3
• /
• pp.279-288
• /
• 2024

With the development of ICT, the use of software has become essential for organizations to exchange information or manage operations. However, security and software management issues that have increased with the development of ICT are issues that need to be continuously addressed. In 2021, the U.S. government has standardized and established SBOM as one of the countermeasures for software security. This research was initiated as a study to lay the groundwork for the introduction of SBOM in Korea. Based on the effects of SBOM characteristics on adoption intention, we tested management support and institutional support as moderating variables. As a result, security management was found to be a significant moderating variable for management support, and transparency was found to be a significant moderating variable for government institutional support. This study verified that SBOM adoption requires both corporate and government efforts, and the variables that are important from each perspective are different. We hope that this study will contribute to the development and adoption of SBOM.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.13 no.4
• /
• pp.486-490
• /
• 2003

Software qualify models can predict the risk of faults in the software early enough for cost-effective prevention of problems. This paper introduces a least squares support vector machine (LS-SVM) as a fuzzy regression method for predicting fault ranges in the software under development. This LS-SVM deals with the fuzzy data with crisp inputs and fuzzy output. Predicting the exact number of bugs in software is often not necessary. This LS-SVM can predict the interval that the number of faults of the program at each session falls into with a certain possibility. A case study on software reliability problem is used to illustrate the usefulness of this LS -SVM.