• Journal of Internet Computing and Services
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• v.19 no.2
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• pp.43-48
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• 2018

Various artifacts that are produced as software R&D project progresses contain research plan, research report, software requirements and design descriptions, etc. When conducting a software R&D project, it is necessary to confirm that the developed system has implemented its research requirements well. However, various research results make it difficult to design appropriate tests. So, there is a practical need for us to comprehensively handle the planning, execution, and reporting of software test for finding and verifying information related to the research. In this paper, we propose a useful method for software test process in R&D project which supports model based software testing. The proposed method supports automation of test design and generation of test data by explicitly separating each step of System Under Test (SUT). The method utilizes the various models representing the control flow of the function to extract the information necessary for testing the system. And it supports a systematic testing process based on TMMi and ISO 29119. Finally, we show the validity of the method by implementing a prototype with basic functionality to generate test data from software behavioral models.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.91-99
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• 2015

Reviewing the previous researches related to SW quality, we find that they are mostly quality evaluation models for SW quality improvement and maturity-design models for software project management evaluation. There are few studies for the appropriateness of SW quality management by Quality Control(QC) functions. Moreover, they are bound for government's SW R&D projects in the view of the third party. Therefore, we propose means for the objective evaluation of SW quality management's appropriateness by QC functions. For this reason, there are three research proposes in our study as follows. Firstly, we produce problems for the evaluation of the existing government's SW R&D project management's appropriateness. Secondly, to overcome the drawbacks for the evaluation of the appropriateness of SW quality management, new appropriateness evaluation methods are proposed. Lastly, we investigate the availability and effectiveness of the appropriateness evaluation methods for WBS projects.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.627-629
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• 2016

Open source software when promoting development in R&D has many advantages and is becoming an open software - based R&D projects continuously created in a number of countries. However, there are still limits to the creation of effective performance in R&D projects, as well as difficulty of the project implementation because it not yet established an appropriate management plan for the open source R&D projects in the public sector. Therefore, through investigating a number of previous studies and practices, we intend to enhance the effectiveness of the system by suggesting concrete measures for promoting and managing open source nature in a preperiodic point of view on the public sector open source software R&D projects.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.889-891
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• 2013

A Study of Quality Evaluation Model for Automotive Software R&D Project.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.408-412
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• 2007

This paper presents, with some actual cases of employing clear case, as a R&D project configuration management tool, a new methodology for the evaluation and enhancement of project performance in R&D organization. This methodology enables you to forecast future results of the project with story telling skill, to innovate R&D project execution using the concept of Technology Supply Chain with global R&D human resources, to improve the performance of each development stage based on the voices of customer, and to enhance the quality of output and to minimize risk of project with timely positioning of R&D human resources.

• The KIPS Transactions:PartD
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• v.9D no.2
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• pp.259-266
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• 2002

The main issue in software development is the ability of software project effort and cost estimation in the early phase of software life cycle. The regression models for project effort and cost estimation are presented by function point that is a software sire. The data sets used to conduct previous studies are of ten small and not too recent. Applying these models to 789 project data developed from 1990 ; the models only explain fewer than 0.53 $R^2$(Coefficient of determination) of the data variation. Homogeneous group in accordance with project delivery rate (PDR) divides the data sets. Then this paper presents general effort estimation models using project delivery rate. The presented model has a random distribution of residuals and explains more than 0.93 $R^2$ of data variation in most of PDR ranges.

• The Journal of Society for e-Business Studies
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• v.26 no.2
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• pp.45-59
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• 2021

As software(SW) has been considered as a key driver of the fourth industrial revolution, significant R&D investment has been made by Korean government. Despite the attention and support by the government, systematic analysis on the SW R&D efficiency has not been fully addressed. In this study, the efficiency of SW national research and development projects was analyzed using Data Envelopment Analysis(DEA) techniques. Efficiency was measured from both static and dynamic perspectives based on 1,463 projects conducted by the National IT Industry Promotion Agency(NIPA) from 2008 to 2018. The static efficiency analysis identified the causes of inefficiency as scale and technology problems. As a result of dynamic efficiency analysis, we present a sector-specific response model using an efficiency-stability matrix. This study is meaningful in that efficiency analysis was conducted on the entire SW national R&D project, and static/dynamic efficiency analysis results are expected to be used as a guideline for planning SW national R&D project.

• Journal of Internet Computing and Services
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• v.17 no.2
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• pp.39-47
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• 2016

In software R&D artifacts including documents and program code are produced. There are two kinds of software R&D artifacts: Research artifacts and development artifacts. Research artifacts include software R&D planning document, annual report, final report, research note and so on. Software development artifacts include software requirements, software design description, testing plan, test report, and program code. It is important to verify the documents and to test code to check the direction of the R&D. Moreover, we should check relationships as such completeness and consistency between research and development artifacts. The verification and testing help project manager and researchers understand what they do during software projects. Therefore, in this study, we present a process to verify documents and program in software R & D. In the process we check documents produced in software R&D and test program code. We describe the process by using Essence elements including alpha, activity, and competency. We present a case study to show the effectiveness of the process.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.217-220
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• 1996

This study presents a R&D performance monitoring system (RDMS) that is applicable for managing nuclear program in KAERI. The prime goal of RDMS is to furnish project manager with reliable and accurate information on status of progress, performance and resource allocation, and attain traceability and visibility of project implementation for effective project management. In this study, the work breakdown structure (WBS) as the governing factor for integration of scope, schedule, resource data was derived, and the above parameters were loaded personal computer. A RDMS is comprised of about 12,000 R&D activities of the 16 goverment-led projects. The Primavera software was used to monitor the progress, evaluate the performance and analyze the resource distribution to activities.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.5
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• pp.1013-1021
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• 2014

For efficient investments of government budgets, It is important to analyze the similarities of R&D projects. So, existing studies have proposed a techniques for analyzing similarities using keywords or segments. However, the techniques have low accuracy. We propose a technique for similarities of projects using patent information. To achieve our goal, we suggest three metrics that are based some mathematic theories; set theory and probability theory. In order to validate our technique, we perform case studies that have 156 R&D projects and 160,218 patent informations.