• The Journal of the Korea Contents Association
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• v.9 no.9
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• pp.313-324
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• 2009

This study purposes to analyze how the level of compensation system qualify(transparency, fairness, controllability) affects the satisfaction of employee concerned with compensation system and work efforts. To test above mentioned objectives, i conduct using the survey data directly survey and e-mail to the MBA students of university located In southeastern korea and analyze using the structural equation model. The results of this paper are as follows. First, the analysis results demonstrate a positive relationship between the level of compensation system qualify and the satisfaction of employee concerned with compensation system. Second, the level of compensation system quality positively affects employee' work efforts. Thirdly, the satisfaction of employee concerned with compensation system also positive effects on work effort. The above results mean that if the level of compensation system quality is higher, employee are satisfied with the compensation system, and increase the level of work effort.

• Plant Journal
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• v.12 no.2
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• pp.4-8
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• 2016

환경보전은 전 인류의 노력이 함께 투입되어야 하며 그 투입 노력의 양은 공학적 관점에서 결정되어야 할 것이다. 탄소배출권 관점에서는 탄소 배출 사업자만이 환경보전에 노력해야하며 그 노력의 양은 경제학적 관점의 탄소 배출량이다. 본 연구에서 제안하고 있는 무용에너지 배출권 관점에서는 모든 인류가 환경보전에 노력해야 하며 그 노력의 양은 열역학적으로 계산되는 무용에너지 배출량이다. 본 제안이 환경보전에 이바지될 수 있기를 희망한다.

• Journal of the Korea Computer Industry Society
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• v.3 no.3
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• pp.295-306
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• 2002

Successful project planning relies on a good estimation of the effort required to complete a project, together with the schedule options that may be available. Despite the extensive research done developing new and better models, existing software effort estimation models are present only the total effort and instantaneous effort function for the software life-cycle. Also, Putnam presents constant effort rate in each phase. However, the size of total effort are variable according to the software projects under the influence of its size, complexity and operational environment. As a result, the allocated effort in each phase also differ from project to project. This paper suggests the criteria for effort allocation in planning, specifying, building, testing and implementing phase followed by the project total effort. These criteria are derived from 183 different projects. This result can be considered as a practical guideline in management of project schedule and effort allocation.

• The KIPS Transactions:PartD
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• v.9D no.5
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• pp.865-876
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• 2002

Successful project planning relies on a good estimation of the effort required to complete a project, together with the schedule options that may be available. Existing software effort estimation models are present only the total effort and instantaneous effort function for the software life-cycle. Also, Putnam presents constant effort rate in each phase. However, the size of total effort varies according to the software projects under the influence of its size, complexity and operational environment. As a result, the allocated effort in each phase also differs from one project to another. This paper suggests models for effort allocation in planning, specifying, building, testing and implementing phases followed by the project size and development types. These models are derived from 155 different projects. Therefore, these models can be considered as a practical guideline in management of project schedule and effort allocation.

• Journal of the Korea Computer Industry Society
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• v.2 no.6
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• pp.859-866
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• 2001

Successful project planning relies on a good estimation of the effort required to complete a project, together with the schedule options that may be available. Despite the extensive research done developing new and better models, existing software effort estimation models are present only the total effort and effort (or manpower： people per unit time) function for the software life-cycle. Also, Putnam presents constant effort rate in each subcycles. However, the size of total efforts are variable according to the software projects under the influence of its size, complexity and operational environment. As a result, the allocated effort in subcycle also differ from project to project. This paper suggests the linear and polynomial effort estimation models in specifying, building and testing phase followed by the project total effort. These models are derived from 128 different projects. This result can be considered as a practical guideline in management of project schedule and effort allocation.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.351-354
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• 2008

소프트웨어 프로젝트를 진행할 때, 소프트웨어 개발에 투입할 노력의 정확한 추정과 더불어 소프트웨어 생명주기 단계별 적정한 개발노력을 투입하는 것은 프로젝트 성공을 위해 필요한 요소 중 하나이다. 조직의 과거 데이터를 활용한 기존의 개발노력 분배 방식은 단계별로 발생되는 결함의 양에 따라 개발노력의 투입량 변동이 발생될 수 있다. 본 연구에서는 CMMI 조직 프로세스성과(Organization Process Performance) 프로세스 기반의 결함 예측을 이용한 개발노력 분배 성과모델을 제시하고, 제시한 성과모델의 예측값과 프로젝트 수행 결과 값의 비교를 통해서 제시한 성과모델의 유효성 및 결함과 개발노력 분배의 연관성에 대해서 검증 하고자 한다.

• Environmental and Resource Economics Review
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• v.6 no.2
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• pp.209-231
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• 1997

본 논문은 전통적인 산업연관분석이 고정투입계수를 시용하고 있어서 상대가격체계의 변화에 따른 경제 주체들의 비용최소화 노력을 모형 내에 반영하지 못하고 있다는 한계를 극복하기 위하여 상대가격체계의 변화에 따라 가변투입계수를 갖는 "반복다중최적화(IMO) 모형"을 이용하여 탄소세 부과가 가격구조에 미치는 영향을 분석하였다. 분석 결과는 고정투입계수모형에 비하여 가격인상효과는 전반적으로 낮게 나타났으며, 특히 에너지집약산업은 고정투입계수모형에 비하여 가격상승률이 낮게 나타난 반면, 기타산업은 가격상승폭이 높게 나타났다. 이러한 결과는 에너지원에 대한 탄소세의 부과효과가 상대가격변화에 적응한 경제주체들의 비용최소화 노력으로 각 산업으로 분산된 결과라 여겨진다.

• Journal of Internet Computing and Services
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• v.14 no.1
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• pp.23-30
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• 2013

Test effort estimated so far is as a by-product of the development effort estimation activity which is based on the FP, UCP, COCOMO model, or calculated data from the project knowledge base which is containing test effort information for the test phase on software development life cycle. In this paper, test effort estimation model and calculating procedures are suggested, which is independent from software development effort estimation model. Generally test efforts is depends on the number and the complexity of test cases, and also maturity of test organization that performs test activities, such as integration test, system test, acceptance test and so on. The estimated results with the suggested test effort estimation model has deviation of 4.7% compare to the corresponding test efforts generated by the development effort estimationprocedures. The suggesting model will be accurate more and more with refinements of coefficients which reflect the technical and environmental maturity level of test organization, and also including the software complexity level of projects.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.10
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• pp.47-53
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• 2019

This study examined the effects of risk aversion on the Self-Insurance-cum-Protection activity (SICP) in a two period model, which is in contrast to existing studies that focused on an one period model. The assumption that there is a time difference between making an effort and incurring loss helps examine the effects of risk aversion in the long-term period. An increase in risk aversion always increases the efforts of SICP, whereas existing studies require additional restrictions to both the loss and cost function. Second, an increase in risk aversion always increases the efforts on self-insurance and self-protection. This result is in contrast to that of existing studies in that an increase in risk aversion increases the efforts of self-insurance, whereas the effects on the efforts of self-protection are unclear. Lastly, when there exists a background risk with zero mean and risk aversion increases in a two period model, the prudence condition of the utility function is a sufficient condition to increase the efforts of SICP.

• The KIPS Transactions:PartD
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• v.11D no.4
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• pp.885-892
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• 2004

Weibull distribution Iincluding Rayleigh and Exponential distribution is a typical model to estimate the effort distribution which is committed to the software testing phase. This model does not represent standpoint that many efforts are committed actually at the test beginning point. Moreover, it does not properly represent the various distribution form of actual test effort. To solve these problems, this paper proposes the Sigmoid model. The sigmoid function to be applicable in neural network transformed into the function which properly represents the test effort of software in the model. The model was verified to the six test effort data which were got from actual software projects which have various distribution form and verified the suitability. The Sigmoid model nay be selected by the alternative of Weibull model to estimate software test effort because it is superior than the Weibull model.