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

Korea Information Processing Society (한국정보처리학회)
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A Study on Optimal Renewal Cycle for Governmental Agency Software

공공기관 소프트웨어의 최적 재개발 주기 도출에 대한 연구

  • 안훈상 (육군본부 정보체계관리단 전산체계개발과) ;
  • 배종호 (충남대학교 정보통계학과) ;
  • 김영성 (육군본부 정보체계관리단 전산체계개발과) ;
  • 박철현 (육군 제 6보병사단)
  • Received : 2015.08.12
  • Accepted : 2015.10.26
  • Published : 2016.03.31
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Abstract

The demands for additional functionalities and improvements in performance of software increase over time. In particular, increases in software complexity and requirements for quality control attributed to continued maintenance lead to the deterioration of software quality and raises in software life cycle costs. In order to prevent this, software operators have to conduct timely redevelopment of the software. However, the scope of previous studies on timely redevelopment of software is limited to enterprises. We, in this study, suggest a model to derive the optimal cycle for the redevelopment of governmental agency software using Renewal process and discuss its correlation with previous studies.

운용 중인 소프트웨어에 대한 기능의 추가 및 성능 개선 요구는 시간이 지날수록 증가한다. 특히, 지속되는 유지보수에 따른 소프트웨어의 복잡도와 품질관리 소요의 증가는 품질저하와 수명주기 비용의 상승을 초래할 수 있으므로, 소프트웨어 운용자는 적시 재개발을 통해서 이를 예방해야 한다. 그러나 소프트웨어의 적시 재개발에 대한 기존 연구는 기업 분야에 한정되어 있다. 따라서 우리는 본 논문에서 리뉴얼 프로세스를 사용하여 공공기관에 적용 가능한 최적의 소프트웨어 재개발 주기를 산출하는 모델을 제시하고 기존 연구와 연관성을 논의한다.

Keywords

References

  1. B. C. LEE, "An Empirical Study on Decision Criteria of Additional Software Development in Information System Maintenance Contract," Department of Computing, Ph.D. Dissertation, Soongsil Univ., 2013.
  2. Heoung Keun Moon, "Study on Development of Cost Data Based Optimal Life Cycle Model for Financial Information Systems," Department of Information Technology & Management, Ph.D. Dissertation, Konkuk Univ., 2012.
  3. Sung sik Park, "An Empirical Study on the Establishment of the Optimal Economic Life Span Model for the Information Systems," Department of Information Technology & Management, Ph.D. Dissertation, Konkuk Univ., 2011.
  4. S. Korea's Ministry of Security and Public Administration, "A Manual for Operational Performance Measurement of Information Systems," pp.27-31, 2014.
  5. Korea Software Industry Association, "A Guide for Payment of Software Business," 2014.
  6. S. M. Ross, "Stochastic Process," 9th ed. New York: Wiley, 1983.
  7. B. P. Lientz and E. B. Swanson, "Software Maintenance Management Reading," MA: Addison-Wesley, Ch.21, 1980.
  8. J. T. Nosek and P. Palvia, "Software maintanence management: Changes in the last decade," Software Maintanence: Research and Practice, Vol.2, No.3, pp.157-174, 1990. https://doi.org/10.1002/smr.4360020303
  9. Gartner, "IT service maturity model, Strategic Analysis Report," 2002.
  10. L. H. Putnam, "A General Empirical Solution to the Macro Software Sizing and Estimating Problem," IEEE Trans. on Software Eng., Vol.SE-4, No.4, pp.345-361, 1978. https://doi.org/10.1109/TSE.1978.231521
  11. R. D. H. Warburton, "Managing and Predicting the Costs of Real-Time Software," IEEE Trnas. on Software Eng., Vol.SE-9, No.5, pp.562-569, 1983. https://doi.org/10.1109/TSE.1983.235115
  12. P. Bhatt, G. Shroff, and A. K. Misra, "Dynamics of Software Maintenance," ACM SIGSOFT Software Engineering Notes, Vol.29, No.5, 2004.
  13. E. B. Swanson and E. Dans., "System Life Expectancy and the Maintenance Effort: Exploring Their Equilibration," MIS Quarterly, Vol.24, No.135, pp.277-297, 2000. https://doi.org/10.2307/3250939
  14. J. Yoo, B. S. Kim, M. S. Choi, and J. Oh, "Estimation of Vendor Cost for Software Maintenance and Repair Outsourcing," Asia Pacific Journal of Information Systems, Vol.16, No.2, pp.143-158, 2006.
  15. IFPUG, "Function Point Counting Practices Manual 4.2," 2004.
  16. NESMA, "Function Point Analysis for Software Enhancement Guideline," Ver.2.2.1, 2009.
  17. C. S. Yoo and E. J. Chung, "A Study on the Improvement for Management Efficiency about the Approach of Applying IT to our Defense Area," The Korean Journal of Defense Analysis, Vol.27, No.2, pp.67-99, 2011.
  18. Notification No.2010-52 of the Ministry of Knowledge and Economy, 2010.
  19. S. Sakthivel, "A Decision Model to Choose between Software Maintenance and Software Redevelopment," Journal of Software Maintenance, Vol.6, pp.121-143, 1994. https://doi.org/10.1002/smr.4360060303
  20. H. Leung and Z. Fan, "Software Cost Estimation," Department of Computing, HongKong Polytechnic University, 2002.
  21. Young-Joon Moon and Sung-Yul Rhew, "Software Replacement Time Prediction Technique Using the Service Level Measurement and Replacement Point Assessment," Journal of KIPS, Vol.2, No.8, pp.527-534, 2013.
  22. S. K. Park, S. W. Lee, and J. H. Park, "A Software Cost Estimation Using Growth Curve Model," Journal of KIPS, Vol.11-D, No.3, pp.597-604, 2004.