RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • Prediction Based Cost Estimation Model Using Clusters

        Subba Rao Peram,Dr. K. Venkata Rao,Dr. P. Suresh Varma 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.7

        On some parameters Software cost estimation based on development and effort on the project. Every line of code and every method are important to estimate the cost of project. To develop the software project using well defined scientific principles, methods, statements and functions, though there are many costs estimation models are available to estimate the cost of project, but still there is lack of efficient system to predict the cost estimation based on size of project, functionality of project, methods of project. In the existing system cost estimation is done on the basis of lines of code, resource management, in time process. Because of various reasons in the existing system we have identified the drawbacks. In this paper, cost prediction model is defined based on clusters, the number of clusters will form the centroids. Each centroid has a specific number of clusters. Each cluster will be called as rule. In this paper, results will show the prediction of cost estimation is defined.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼