Browse > Article
http://dx.doi.org/10.3745/KIPSTD.2010.17D.6.443

A Study of Analysis of Attribute and Operation based on COTS System  

Lee, Eun-Ser (안동대학교 컴퓨터공학과)
Kim, Joong-Soo (안동대학교 컴퓨터공학과)
Abstract
COTS system is increasingly seen as one of the main jobs of reuse development. It involves reliability of COTS that might affect the project schedule or the quality of the software being developed and taking action to avoid these risks. The results of the COTS analysis should be documented in the project plan along with an analysis of the attribute and operation. Effective risk management makes it easier to cope with problems and to ensure that these do not lead to unacceptable budget or schedule slippage. This research provides criteria of analysis of risk items to the estimation of process milestone on COTS development.
Keywords
Risk Management; COTS(Commercial Off The Shelf); Defect Management; Life Cycle; Attribute Analysis; Operation Analysis;
Citations & Related Records
연도 인용수 순위
  • Reference
1 최은만, 소프트웨어공학론, 사이텍미디어, 2001.
2 윤청, 성공적인 소프트웨어 개발 방법론, 생능출판사, 1999.
3 귄기태, 남영광, 소프트웨어공학, 홍릉과학출판사, 2008. 02.
4 우치수, 소프트웨어공학 실무적 접근, 한산출판사, 2003.
5 Software Engineering Standards, IEEE 1994 edition, 1994
6 Robert h. dunn, “Software defect removal”, Mcgraw-hill, 1984.
7 Ram chillarrege, Kothanda r. prasad, “Test and development process retrospective a case study using ODC triggers”, IEEE computer society, 2002.
8 Wohlin, Runeson, “Defect content estimations from review data”, Proceedings international conference on software engineering ICSE pp.400-409, 1998.   DOI
9 Gaffney, John, “Some models for software defect analysis”, Lockheed martin, 1996.
10 B. compton and C. withrow, “Prediction and control of ada software defects”, J. systems and software, Vol.12, pp. 199-207, 1990.   DOI   ScienceOn
11 Roger s. pressman “Software engineering” Mcgraw-hill international edition, 1997.
12 Tim kasse, “Actin focused assessment for software process improvement,” Artech house, 2002.
13 Paulish, and Carleton, “Case studies of software process improvement measurement,” Computer, Vol.27, No.9, 1994.   DOI