KIPS Transactions on Software and Data Engineering (정보처리학회논문지:소프트웨어 및 데이터공학)

Korea Information Processing Society (한국정보처리학회)
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A Measuring Model of Risk Impact on The App Development Project in The Social App Manufacturing Environment

Social App Manufacturing 환경의 앱 개발 프로젝트에서 위험영향도 측정 모델

  • Received : 2014.03.19
  • Accepted : 2014.07.24
  • Published : 2014.09.30
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Abstract

Crowd Sourcing-based Social App Manufacturing environment, a small app development project by a team of anonymous virtual performed without the constraints of time and space, and manage it for the app development process need to be automated method. Virtual teams with anonymity is a feature of the Social App Manufacturing, is an important factor that increases the uncertainty of whether the completion of the project or reduction in visibility of the progress of the project. In this study, as one of how to manage the project of Social App Manufacturing environment, the impact of risk that can be used to quantitatively measure the impact of the risk of delay in development has on the project also proposes a measurement model. Effects of risk and type of the impact of risks associated with delays in the work schedule also define the characteristic function, measurement model that has been proposed, suggest the degree of influence measurement equation of risk of the project in accordance with the progressive. The advantage of this model, the project manager is able to ensure the visibility of the progress of the project. In addition, identify the project risk of work delays, and to take precautions.

Crowd Sourcing 기반의 Social App Manufacturing 환경에서는 소규모 앱 개발 프로젝트를 익명의 가상팀에 의해 시공간의 제약이 없이 수행하며 이를 위해 앱 개발 관리를 위한 자동화된 방법을 필요로 한다. Social App Manufacturing의 특징인 익명성을 갖는 가상팀은 프로젝트 진행 상황에 대한 가시성의 저하와 프로젝트 완료 여부의 불확실성을 증가시키는 핵심 요인이다. 본 연구에서는 Social App Manufacturing 환경하의 프로젝트 관리 방법의 하나로 개발 지연이 프로젝트에 주는 위험 영향을 정량적으로 측정할 수 있는 위험영향도 측정 모델을 제안한다. 제시한 측정 모델은 작업일정 지연에 따른 위험 영향 유형과 위험영향도 특성함수를 정의하고 진행 성과에 따른 프로젝트 위험영향도 측정식을 제안한다. Social App Manufacturing 환경에서 수행하는 프로젝트 관리에 이 모델을 활용하여 진행 상황에 대한 가시성을 확보하고 일정 지연으로 실패 위험이 발생하는 프로젝트를 식별하고 미리 대처할 수 있도록 한다.

Keywords

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