• Journal of Engineering Education Research
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• v.26 no.3
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• pp.72-80
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• 2023

Recently, in terms of the future education, the need of the software education according to the 4th industrial revolution and the need of the ESG(environmental, social and governance) education according to social requests for sustainability are increasing at the same time. There may be a number of ways to satisfy the needs at the same time. In this paper, as an effort for meaningful implementation of the future education, a case study on the ESG engineering education based on the software education for community youth was analyzed and a future development direction was suggested. This ESG engineering education deals with the development and application of the program considering terms of target, method and implementation in order to enhance its systematicity and using physical computing and upcycling methods and a collaborative education support system. To verify the education program, a survey is performed and analyzed. Through this, the basis of an software education-based ESG engineering education model was established.

• Journal of Digital Convergence
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• v.8 no.1
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• pp.93-107
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• 2010

Performance of software development is measured by two major criteria - roductivity and quality. Although the criteria is empirically tested in software engineering research, they often present with a limited way under consideration of a few factors or contexts for developers to focus on the either productivity facets or quality facets. Analyzing data on software development performance collected over a 13-year period from 20 countries, we investigated how major software development factors - development type, development platform, development technique, language type, DBMS, methodology, methodology acquisition, CASE,, summary of work effort, resource level, max team size, affect the performance of software development. The results suggest that productivity and quality of software development are affected by different factors and context: function points, line of code, extreme defects, major defects, or minor defects. This research provides the empirical evidence that the two performance criteria require for software developer to have careful attention to find the optimal balance between the two performance criteria.

• The Journal of the Korea Contents Association
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• v.2 no.4
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• pp.59-66
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• 2002

As for the software development, it is complicated, and size of software is growing larger. And contraction of a software development period is required acutely because it is short a period of software life cycle. Also, it becomes harder development and a maintenance because it is short a life cycle of developed software. According to this an effort is increased in order to reduce a development cost and time as using a component to have been implemented previously in development of software. A current component technology is developing into a very fast speed and is bringing a large change into development of a Web base system in addition to existing software development method. In this paper, we were handling a related technology for Web system development of a CBD base systematically and derived an issue to apply it to development of a Web system and presented an efficient practical use method of a component technology. First of all we looked into a component technology and a CBD methodology systematically and described a component technology in Web. Also, we proposed a method to increase development and efficiency of practical use of a Web system based on a component. The this study result can decrease a development cost of a Web system and a load of maintenance management through the re-use of a code.

• The KIPS Transactions:PartD
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• v.10D no.7
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• pp.1137-1144
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• 2003

The existing Function Point method to estimate the software size has been utilized frequently with the management information system. Due to the expanding usage of the real-time and embedded system, the Full Function Point method is being proposed. However, despite many research is being carried out relation to the software size, the research on the model to estimate the development cost from the measured software size is inadequate. This paper analyzed the linear regression model and power regression model which estimate the development cost from the software FFP The power model is selected, which shows its estimation is most adequate.

• 한국전산유체공학회:학술대회논문집
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• 1998.11a
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• pp.29-35
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• 1998

In this paper, the on-going effort and progress for developing an integrated software for automated CFD application is described. As an outcome of the effort devoted so far, a new system, ICFDIT, is developed and introduced in this paper. The new system can be used to solve fluid dynamics problems in a convenient graphical environment, and it includes a pre-processor, a main-processor, and a post-processor. Usage of the system and examples are demonstrated, and some issues for improvement of the system are discussed.

• Journal of Information Technology Services
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• v.10 no.2
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• pp.235-245
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• 2011

Early criticality prediction models that determine whether a design entity is fault-prone or not are becoming more and more important as software development projects are getting larger. Effective predictions can reduce the system development cost and improve software quality by identifying trouble-spots at early phases and proper allocation of effort and resources. Many prediction models have been proposed using statistical and machine learning methods. This paper builds a prediction model using Support Vector Machine(SVM) which is one of the most popular modern classification methods and compares its prediction performance with a well-known prediction model, BackPropagation neural network Model(BPM). SVM is known to generalize well even in high dimensional spaces under small training data conditions. In prediction performance evaluation experiments, dimensionality reduction techniques for data set are not used because the dimension of input data is too small. Experimental results show that the prediction performance of SVM model is slightly better than that of BPM and polynomial kernel function achieves better performance than other SVM kernel functions.

• Journal of Korea Society of Industrial Information Systems
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• v.5 no.2
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• pp.47-55
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• 2000

To date many software engineering cost models have been developed to predict cost, schedule, and effort of the software under development. The COCOMO Ⅱ is well- suited for the new software development life cycle such as non-sequential and rapid- development processes. The traditional regression approach based on the least square criterion is the most commonly used technique for empirical calibration in the COCOMO Ⅱ model. It has a few assumptions frequently violated by software engineering data sets. The source data is also generally imprecise in reporting size effort, and cost-driver ratings, particularly across different organizations. And that the outlier for the source data is a peculiarity and indicates a data point. To cope with difficulties, in this paper, we propose a new regression method for calibrating COCOMO Ⅱ post-architecture model based on the minimum relative error(MRE) criterion. The characteristic of the proposed method is insensitive to the extreme values of the data in the empirical calibration. As the experimental results, It is evident that our proposed calibration method MRE was shown to be superior to the traditional regression approach for model calibration, as illustrated by the values obtained for standard deviation(^σ), and prediction at level LPRED(L) measures.

• Journal of KIISE:Software and Applications
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• v.29 no.12
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• pp.873-882
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• 2002

Estimation of development cost, effort and time is difficult and a key problem of software engineering in the early stage of software development. These are estimated by using the function point which is measured from a requirement specification. However, it is often a serious Question of the staffing level required for the software development. The purpose of this paper is to show us the model which can be used to estimate a size of development team. Three hundred one software projects have been analyzed and studied for the model. First, an analysis was conducted for statistical algorithmic model. After various data transformation and regression analysis, it was concluded that no good model was available. Therefore, non-algorithmic model was suggested for analysis, which has random distribution of residuals and makes good performance using RBF (Radial Basis Function) network. Since the model provides a standard to determine the required size of development team, it ran be used as management information.

• The KIPS Transactions:PartD
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• v.11D no.3
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• pp.635-648
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• 2004

Extreme programming is the most representative methodology among agile software development methodologies that is agile in business environment which change fast. As software industry is matured, usability of software quality characteristics is emphasized gradually, but effort to obtain usability in extreme programming is insufficient. In this paper, three things lacked in extreme programming are reinforced. First, roles of user interface expert are defined. Second, usability testing method to extreme programming are introduced. Third, development process and products are proposed. The proposed plan is validated by four methods, which analyze supporting software development life cycle, analyze satisfaction of CMM key process areas, analyze satisfaction of CMM practices, and analyze development of green tea shopping mail. Green tea shopping mall is improved 23％ in the estimated running time, 21％ in the learnability. Also, usability is improved 18％ in the heuristic evaluation and 16％ in the questionnaire method.

• ETRI Journal
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• v.9 no.3
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• pp.139-156
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• 1987

The problems in software cost management are well known. Cost estimates are too low. Software development projects frequently have cost overruns, which are due to poor estimates. A fair amount of work have been done toward developing cost estimation models. These models vary in their outputs (e. g., total cost, manning schedule) and in the factors used to calculate their estimates. They also vary with regard to the type of formula, parameters, use of previous data, and staffing considerations. This paper will distinguish them by the type of formula they use to calculate total effort and staffing level, and will discuss enough models to demonstrate the characteristics of each model category.