• Title/Summary/Keyword: cost estimating software

검색결과 61건 처리시간 0.024초

AHP를 이용한 소프트웨어 개발비 보정계수 산정 (Estimating Cost Adjustment Factors of Software Development Projects using Analytic Hierarchy Process)

  • 김우제;박찬규;신수정
    • 산업공학
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    • 제17권spc호
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    • pp.1-10
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    • 2004
  • The purpose of this paper is to reorganize cost adjustment factors of software development projects in estimating software development cost, and derive adjustment coefficients of application types and language types by analytical hierarchy process. We constructed a decision-making hierarchy of various criteria which determine the complexity of application types and language types, and conducted a survey on the pairwise comparison among alternatives. Finally, the cost adjustment coefficients of application types and language types were derived by analytic hierarchy process. This paper is the first study in which the analytic hierarchy process was applied to the field of estimating cost adjustment factors of software development projects.

An Analysis of Cost Driver in Software Cost Model by Neural Network System

  • Kim, Dong-Hwa
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.377-377
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    • 2000
  • Current software cost estimation models, such as the 1951 COCOMO, its 1987 Ada COCOMO update, is composed of nonlinear models, such as product attributes, computer attributes, personnel attributes, project attributes, effort-multiplier cost drivers, and have been experiencing increasing difficulties in estimating the costs of software developed to new lift cycle processes and capabilities. The COCOMO II is developed fur new forms against the current software cost estimation models. This paper provides a case-based analysis result of the cost driver in the software cost models, such as COCOMO and COCOMO 2.0 by fuzzy and neural network.

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An Overview of Time Estimation in the Appraisal of Completeness for Software

  • Kim, Yukyong
    • 한국소프트웨어감정평가학회 논문지
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    • 제16권1호
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    • pp.21-26
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    • 2020
  • The completeness appraisal of software is performed in various forms, such as assessing the completion level in the development process, calculating the defect rate, estimating the development cost, and calculating the redevelopment cost. Along with this, the problem that is often dealt with is estimation of the development time. Even in a dispute over completeness due to delays in software development, issues of calculating an appropriate development time required to develop a delivery software or a development time required for change requests are often included in the appraisal request. In this paper, we introduce the procedure and method for estimating the appropriate project time of software development so that the appraiser can be applied to the appraisal work for determining the completeness. The method is based on the manual for calculating the appropriate project period of software development project.

학습이론을 이용한 소프트웨어 개발비 예측 모형 (Estimating software development cost using machine-learning approach)

  • 박찬규
    • 한국IT서비스학회:학술대회논문집
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    • 한국IT서비스학회 2005년도 추계학술대회
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    • pp.345-355
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    • 2005
  • As the portion of information systems(IS) budget to the total government budget becomes greater, the cost estimation of IS development and maintenance projects is recognized as one of the most important problems to be resolved for quantitative and efficient management of IS budget. The primary concern in the cost estimation of IS projects is to estimate software development cost. In this paper, we propose a new method to estimate software cost using support vector regression(SVR), which has attracted considerable attention because of its good performance and theoretical clearness. The paper is the first study which apply SVR to software cost estimation.

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Comparative Analysis of BIM-Enabled Construction Cost Estimation Practices: A Case Study of Japan and China

  • Shi TANG;Kazuya SHIDE
    • 국제학술발표논문집
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    • The 10th International Conference on Construction Engineering and Project Management
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    • pp.745-752
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    • 2024
  • This paper presents a study that compares and analyzes the practices of utilizing BIM (Building Information Modeling) for construction cost estimation in Japan and China. The study delves into the nuanced differences and similarities in cost estimation methodologies between the two countries. The overview section explored their respective standard specifications, and the methodologies for construction quantities take-off, covering both the bottom-up estimating approach and the all-in unit rate approach. Additionally, the paper delves into the item code system used in BQ (Bills of Quantities), elaborating on its introduction and practical application. The paper meticulously breaks down the process of quantities take-off facilitated by BIM models and cost-estimating software. The study also delves into the developmental trends in comprehensive BIM standards about construction cost, coupled with the proposition of a BIM code for seamless integration into construction cost practices as part of a forward-looking research plan. In conclusion, the paper encapsulates the comparative findings, highlighting the strengths, weaknesses, and potential areas for improvement in the BIM-enabled construction cost estimation practices of Japan and China. This study contributes to a deeper understanding of the utilization of BIM technology in the construction industry, offering valuable insights for practitioners, researchers, and policymakers alike.

Support Vector Regression을 이용한 소프트웨어 개발비 예측 (Estimating Software Development Cost using Support Vector Regression)

  • 박찬규
    • 경영과학
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    • 제23권2호
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    • pp.75-91
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    • 2006
  • The purpose of this paper is to propose a new software development cost estimation method using SVR(Support Vector Regression) SVR, one of machine learning techniques, has been attracting much attention for its theoretic clearness and food performance over other machine learning techniques. This paper may be the first study in which SVR is applied to the field of software cost estimation. To derive the new method, we analyze historical cost data including both well-known overseas and domestic software projects, and define cost drivers affecting software cost. Then, the SVR model is trained using the historical data and its estimation accuracy is compared with that of the linear regression model. Experimental results show that the SVR model produces more accurate prediction than the linear regression model.

성장곡선을 이용한 소프트웨어 비용 추정 모델 (A Software Cost Estimation Using Growth Curve Model)

  • 박석규;이상운;박재흥
    • 정보처리학회논문지D
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    • 제11D권3호
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    • pp.597-604
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    • 2004
  • 정확한 소프트웨어 비용 추정은 개발자와 고객 모두에게 중요하다. 대부분의 비움 추정 모델들은 규모 추정으로부터 틴은 라인 수와 기능점수와 같을 규모 측도에 기반을 두고 있다. 규모 추정의 정확도는 비용 추정 정확도에 직접적으로 영향을 미친다. 이에 따라 대부분의 회귀기반 비용추정 모델들은 규모에 기반한 멱함수 형태를 적용하고 있다. 생물의 성장, 기술의 발전과 인간의 학습 능력 등 많은 성장 현상들은 S자 곡선을 따른다. 본 논문은 성장곡선을 이용하여 개발노력을 추정하는 모델을 제시하였다. 제시된 모델은 소프트웨어 규모가 증가함에 따라 소요되는 개발 비용이 성장곡선을 따른다고 가정한다. 일반적인 소프트웨어 규모 추정 기법인 기능점수, 완전기능점수와 유스케이스 점수에 기반하여 성장곡선 모델의 적합성을 검증하였다. 제안된 성장곡선 모델들은 멱함수 모델과 비교 시 상호 견줄만한 성능을 보여 소프트웨어 비용 추정분야에 석용 가능함을 보였다.

WEB FRONT-END COMPUTING RELATIONAL DATABASE SYSTEM FOR ITEM-LEVEL PRELIMINARY HIGHWAY COST ESTIMATES

  • Jui-Sheng Chou ;James T. O'Connor ;Khali R. Persad ;Wai Kiong Chong
    • 국제학술발표논문집
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    • The 1th International Conference on Construction Engineering and Project Management
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    • pp.509-514
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    • 2005
  • In recent years, use of the web technologies and on-line process has immensely swapped single-user platform practice. This study attempted to develop preliminary cost estimating program by means of Web technologies based on statistical modeling results. A prototype Web-based Preliminary Item-Level Cost Estimating System (WBPILCES) using open source software was developed as an on-line estimating tool in this research. The primary objective is to study the possible flexibility of implementing a centralized information system that will be maintained by the Texas Department of Transportation (TxDOT) IT division. The full-scale deployment of proposed information architecture is expected to seamlessly integrate with legacy database system currently used by TxDOT so as to streamline data storage, cost growth tracking and estimates documentation.

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공공부문 정보화사업의 소프트웨어 개발비용 예측에 관한 연구 (A Study on the Estimation of Software Development Cost of IT Projects in Public Sector)

  • 박찬규;구자환;김성희;신수정;송병선
    • 경영과학
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    • 제19권2호
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    • pp.191-204
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    • 2002
  • As the portion of information systems (IS) budget to the total government budget becomes greater, the cost estimation of IS development and maintenance projects is recognized as one of the most important problems to be resolved for scientific and efficient management of IS budget. Since IS budget makes much effect on the delivery time, quality and productivity of IS projects, the exact cost estimation is also necessary for the successful accomplishment of IS projects. The primary concern in the cost estimation of IS projects is software cost estimation, which requires the measurement of the size of softwares. There are two methods for sizing software : line-of-code approach, function point model. In this paper, we propose a function-point-based model for estimating software cost. The proposed model is derived by collecting about fifty domestic IT projects in public sector and analyzing their relationship between cost drivers and development effort. Since the proposed model is developed by simplifying the function point model that can be used only when detailed user requirements are specified, it can be also applied at project planning and budgeting phase.

인공지능 기반 소프트웨어 개발 비용 산정에 관한 소요 공수 예측 모형 (Man-hours Prediction Model for Estimating the Development Cost of AI-Based Software)

  • 장승진;김판구;신주현
    • 스마트미디어저널
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    • 제11권7호
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    • pp.19-27
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    • 2022
  • 인공지능 소프트웨어 시장은 2020년부터 2025년까지 6배 규모로 성장할 것으로 예상된다. 그러나 소프트웨어의 개발 절차가 표준화 되어 있지 않고 비용 산정 기준이 없다. 이에 따라 인공지능 소프트웨어 개발 업체마다 각자의 개발 절차에 따른 투입 공수를 산정하고 이를 개발비용의 근거로 제시하고 있으나 개발업체마다 상이한 개발 절차와 소요 공수의 규모 때문에 품질과 비용에 대한 불신이 커지고 있다. 본 연구에서는 대량의 데이터로 학습을 진행하고 알고리즘을 도출하여 적용하는 인공지능 기반 소프트웨어의 개발단계를 정의하고 개발업체들을 대상으로 개발단계별 소요 공수에 대한 설문을 진행하여 소요 공수를 수집하였다. 수집된 개발단계별 소요 공수간의 상관분석과 회귀분석을 실시하여 개발단계별 소요 공수 예측 모형을 도출하였으며, 모형을 실험한 결과, 수집된 소요 공수 대비 92%의 정확도를 보였다. 본 연구에서 제안한 소요 공수 예측 모형은 공수와 비용을 추정하는데 간단하게 활용할 수 있는 도구가 될 것으로 기대된다.