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Real Time SW Sizing Model for FP-Based Fintech Software Development Project

FP 기반의 핀테크 소프트웨어 개발 프로젝트 실시간 규모 산정 모델

  • Koo, Kyung-Mo (Dept. of Fintech & Blockchain, Dongguk University) ;
  • Yoon, Byung-Un (Dept. of Industrial and Systems Engineering, Dongguk University) ;
  • Kim, Dong-Hyun (Dept. of Artificial Intelligence, Korea Nazarene University)
  • 구경모 (동국대학교 핀테크&블록체인학과) ;
  • 윤병운 (동국대학교 산업시스템공학과) ;
  • 김동현 (나사렛대학교 IT인공지능학부)
  • Received : 2021.08.09
  • Accepted : 2021.10.20
  • Published : 2021.10.28

Abstract

Estimation on SW Sizing applied to fintech is very difficult, a task requiring long time, it is difficult for client companies and developer companies to accurately calculate the size of software development. The size is generally estimated based on the experience of project managers and the general functional scoring method. In this paper, propose a model that can be applied to fintech development projects by quantitatively calculating the required functions from the user's point of view, measuring the scale, and calculating the scale in real time. Through the proposed model, the amount of work can be estimated prior to development and the size can be measured, and the M/M and the estimated quotation amount can be calculated based on the program list by each layer. In future studies, by securing size computation data on existing the Fintech Project in mass, research on accurate size computation would be required.

핀테크에 적용되는 소프트웨어의 규모 추정은 매우 난해하며, 오랜 시간이 소요되는 작업이기에 발주 기업과 개발 업체들이 정확하게 소프트웨어 개발 규모를 산정하기 어려운 상황이다. 일반적으로 프로젝트 관리자들의 경험과, 일반적인 기능 점수 방식에 의하여 규모를 추정하고 있다. 본 논문에서는 기능 점수 모형을 사용자 관점에서 요구 기능들을 정량적으로 산정하고, 규모를 측정하여, 실시간으로 규모를 산정하여 핀테크 개발 프로젝트에 적용할 수 있는 모델을 제안한다. 제안 모델을 통하여 개발 전에 업무량을 예상하여 규모를 측정할 수 있으며, 레이어 별 프로그램 목록을 기준으로 M/M 및 견적 금액을 산출할 수 있다. 향후 연구에서는 기존 핀테크 프로젝트의 규모 산정 데이터를 다량 확보하여 정확한 규모 산정에 대한 연구가 필요하다.

Keywords

References

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