• Journal of Information Processing Systems
• /
• v.14 no.3
• /
• pp.607-620
• /
• 2018

The problem surrounding methods of implementing the software testing process has come under the spotlight in recent times. However, as compliance with the software testing process does not necessarily bring with it immediate economic benefits, IT companies need to pursue more aggressive efforts to improve the process, and the software industry needs to makes every effort to improve the software testing process by evaluating the Test Maturity Model integration (TMMi). Furthermore, as the software test process is only at the initial level, high-quality software cannot be guaranteed. This paper applies TMMi model to Automobile control software testing process, including test policy and strategy, test planning, test monitoring and control, test design and execution, and test environment goal. The results suggest improvement of the automobile control software testing process based on Test maturity model. As a result, this study suggest IT organization's test process improve method.

• Journal of Information Technology Services
• /
• v.8 no.1
• /
• pp.59-71
• /
• 2009

Korean government has operated EA by the act on efficient introduction of information system and operation. etc. But the utilization and the evaluation system for EA don't prepare well. In this study. we analyzed characteristics and advantages of EA maturity models that is developed by some domestic and foreign government departments in logical view. and then we derive evaluation scopes and factors of the models. Also. we applied the models to EA maturity for the B organization and measured maturity levels. We identify similarity and difference between the models. We propose evaluation scopes, levels and factors between the models and solutions for evaluation ambiguity by evaluators and maturity improvement through the identified results.

• Convergence Security Journal
• /
• v.12 no.4
• /
• pp.25-31
• /
• 2012

The SSE-CMM model is how to verify the level of information protection as a process-centric information security products, systems and services to develop the ability to assess the organization's development. The CMM is a model for software developers the ability to assess the development of the entire organization, improving the model's maturity level measuring. However, this method of security engineering process improvement and the ability to asses s the individual rather than organizational level to evaluate the ability of the processes are stopped. In this research project based on their existing research information from the technical point of view is to define the maturity level of protection. How to diagnose an information security vulnerabilities, technical security system, verification, and implementation of technical security shall consist of diagnostic status. The proposed methodology, the scope of the work place and the current state of information systems at the level of vulnerability, status, information protection are implemented to assess the level of satisfaction and function. It is possible that measures to improve information security evaluation based on established reference model as a basis for improving information security by utilizing leverage.

• The Journal of Society for e-Business Studies
• /
• v.24 no.2
• /
• pp.165-178
• /
• 2019

In an environment transformed by smart factories, measuring the current level of the manufacturing system, deriving improvement targets and tasks and increasing the level of manufacturing competitiveness become the basic activities of the company. However, research on the component analysis and maturity assessment to ensure the future competitiveness of the company is in progress and in the early stages. This study analyzed the existing research on various models, development process, and framework for manufacturing system. In addition, we designed a structural model by deriving the components of future manufacturing system through smart factory related maturity assessment studies. We designed a meta-model that includes an assesment model and a transformation model, and derived the framework development process to propose an integrated framework for the maturity assessment of the future manufacturing system. We verified it by applying it into an actual evaluation project of smart factory.

• The korean journal of orthodontics
• /
• v.27 no.5 s.64
• /
• pp.853-864
• /
• 1997

The evaluation of growth potency can be done with many physiologic indicators. It has been well known that skeletal maturity has a close relation with both sexual maturity and somatic maturity, but the correlation between skeletal maturity and dental maturity was believed to be less certain. But, recent studies show that specific teeth, including lower canines, present close correlations with skeletal maturity. So, in this study, we studied hand-wrist X-ray films and orthopantomograms of 387 Korean boys and girls aged from 7 to 15; the purpose was to determine skeletal and dental maturity, and to find out a new method to estimate individual skeletal maturity using multiple-regression model, without the help of hand-wrist X-ray film. As a result of this study, followings were observed. 1. The following multiple-regression model can estimate skeletal maturity index (SMI) with 84% of accuracy, and regression coefficient of chronologic age, sex and lower canine show statistical significance. SMI = 0.60 x chronologic age - 1.67 x sex$^{**}$ + 0.88 x lower canine$^{*}$ - 0.05 x lower 2nd molar$^{*}$ - 10.3 $^{*}$ : mean age corresponding each developing stage, $^{**}$ : male=1, femal=0 2. The following multiple-regression model can estimate skeletal age with 87% of accuracy, and regression coefficient of chronologic age, sex and lower canine show statistical significance. Skeletal age = 0.75 x chronologic age - 0.55 x sex$^{**}$ + 0.71 x lower canine$^{*}$ - 0.09 x lower 2nd molar* -5.77 $^{*}$ : mean age corresponding each developing stage, $^{**}$ : male=1, femal=0

• Child Health Nursing Research
• /
• v.25 no.2
• /
• pp.95-102
• /
• 2019

Purpose: The purpose of this study was to identify factors associated with career maturity among Korean high school students. Methods: A descriptive cross-sectional design was adopted using secondary data from the 2012 Korean Welfare Panel Study (KoWePS). The participants were 496 high school students who completed the supplemental survey for children, which included items on career maturity, self-esteem, study stress, teacher attachment, relationship with parents, peer attachment, depression and anxiety. Descriptive statistics, the chi-square-test, the t-test, and a decision tree were used for data analysis. Results: The decision tree identified five final nodes predicting career maturity after forcing self-esteem as the first variable. The highest predicted rate of high career maturity was associated with high self-esteem, experience of career counseling, and high teacher attachment. The lowest predicted rate of high career maturity was associated with low self-esteem and low attachment to friends. Conclusion: Factors influencing career maturity were varied by levels of self-esteem in Korean high school students. Thus, it is necessary to develop different approaches to enhance career maturity according to levels of self-esteem.

• Journal of Digital Convergence
• /
• v.11 no.12
• /
• pp.11-19
• /
• 2013

In this study, we analyze how the difficulties of e-learning firms' management affect to the maturity of the practical use of e-learning research & development (R&D) policies. And we explore the method that can enhance the effectiveness of policy. In the pursuit of this purpose, we use the 2012 South Korea e-learning industry survey data. Using variables of recognition of policy, experience of policy, and intention to use of policy, we find the maturity model of six stages. And we analyze the impact of the difficulties of operation, technology development, marketing to the maturity model. As a result, the more e-learning firms have problems of fund management and technology commercialization, they are located the higher maturity of the use of policy. Based on the results of these studies, we discuss the implication for how can enhance the effectiveness of policies.

• KIPS Transactions on Software and Data Engineering
• /
• v.2 no.12
• /
• pp.823-828
• /
• 2013

In this paper, it will improve in quality to adapt a right test process which is formalized from certification of TMMi Level. To do this, we suggest correlative relation through analyzing associations between TMMi and TPI next based on the previous research[10], which provides the guideline for enhancing test process level with measuring Test maturity model. Also schematize test maturity measurement through refining and improving the previous test maturity correlation metrics[6,8,9]. As one example with limited level, it shows the guideline to improve test process of one testing organization through improved correlation metrics with TMMi and TPI next.

• Journal of the Korean Data and Information Science Society
• /
• v.23 no.2
• /
• pp.333-342
• /
• 2012

This study is conducted to see if college students' career identity and career decision-making self-efficacy affect job-seeking stress and if these three factors have influence on career maturity. Data is collected from 259 college students enrolled in three universities in Daegu. The results show that career identity and career decision-making self-efficacy both have negative direct effects on job-seeking stress and positive indirect effects on career maturity. It is also found that job-seeking stress has a negative direct effect on career maturity.

• Convergence Security Journal
• /
• v.19 no.4
• /
• pp.165-171
• /
• 2019

The domestic information security market is booming, For the development of the information security industry. I wanted to suggest a strategy for finding and developing a good business model. So the main products were classified by similar industries. And The sector was selected as the dependent variable. Expert interviews were conducted and classified according to technical maturity. Independent variables were sales, number of employees, and performance. Average analysis result, sales amounted to 8.798 billion won, 13.51 years in industry, and 64.3 employees. As a result of SPSS statistical analysis, the correlation between industry type and sales according to technical maturity (r = -.729) was within 5% of significance level. The regression results were significant. (p= .047<0.05) Therefore, industry classification and sales are related to technological maturity.