• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.475-481
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• 2023

Softwares, especially like machine learning applications, affect human's life style tremendously. Accordingly, the importance of the cost model for softwares increases rapidly. As cost models, LOC(Line of Code) and M/M(Man-Month) estimates the quantitative aspects of the software. Differently from them, FP(Function Point) focuses on estimating the functional characteristics of software. FP is efficient in the aspect that it estimates qualitative characteristics. FP, however, has a limit for evaluating machine learning softwares because FP does not evaluate the critical factors of machine learning software. In this paper, we propose an extended function point(ExFP) that extends FP to adopt hyper parameter and the complexity of its optimization as the characteristics of the machine learning applications. In the evaluation reflecting the characteristics of machine learning applications. we reveals the effectiveness of the proposed ExFP.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.2
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• pp.115-125
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• 2011

An accurate estimation of software development size is an important factor in calculating reasonable cost of project development and determining its success. In this study, we propose estimation models, using function point based on the functional correlation between software, with empirical data. Three models($FP_{est}(I)$, $FP_{est}(II)$, $FP_{est}(III)$) are developed with correlation and regression analysis. The validity of the models is evaluated by the significance test by comparing values of Mean Magnitude of Relative Error (MMRE) and predictions of each model at level n%. Model $FP_{est}(III)$ proved to be superior to other models such as IFPC(Indicative Function Point Count), EFPC(Estimated Function Point Count), EPFS(Early Prediction of Function Size), $FP_{est}(I)$, and $FP_{est}(II)$. As a result, the accuracy of the model appears to be very high to determine the usefulness of the model to finally overcome weakness of other estimation models. The model can be efficiently used to estimate project development size including software size or manpower allocation.

• Journal of the Korea Society of Computer and Information
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• v.14 no.12
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• pp.225-232
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• 2009

Function Point Method have been applied to measure software size estimation in industry because it supports to estimate the software's size by user's view not developer's. However, the current function point method has some problems for example complexity's upper limit etc. So, In this paper, an enhanced function point model. Micro FP model, was suggested. Using this model, software effort estimation can be more efficiently because this model has some regression equation. This model specially can be applied to estimate in detail the large application system's size Analysis results show that measured software size by this Micro FP model has the advantage with more correlative between the one of LOC, as of 10 applications operated in an large organization.

• International journal of advanced smart convergence
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• v.13 no.1
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• pp.12-22
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• 2024

Software applications have a huge and inseparable impact on our lives. The complexity of the applications increases rapidly to support high performance and multifunction. Accordingly, the cost model for applications is increasingly important. Line of Code (LOC) and Man-Month (M/M) as the cost model measure the quantitative sides of the applications. Unlike them, Function Point (FP) measures the functionalities of the application. FP is efficient for estimating qualitative characteristics, but it is restricted to measuring the cost of an application using the wireless data broadcast which can support any number of clients. In this paper, we propose, a Function Point model for Information services using wireles data Broadcast (FPIB) to measure the development cost of an application that serves using the wireless data broadcast environment. FPIB adopts critical parameters of the wireless broadcast environment and the complexity of them to measure effectively the cost developing the application. Through the evaluation comparing the proposed FPIB with FP, we reveal the effectiveness of the proposed FPIB.

• Journal of Digital Convergence
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• v.4 no.1
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• pp.9-16
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• 2006

Function Point(FP) is well spread and advanced methodology in software costing. But FP is not common in game contents costing. It is one reason that Game Contents is a new area in software costing. And, ISO/IEC FDIS 19761(final draft) recommends not to use FP method in game contents costing. So we suggested new methodology in that area which is called Game Factor Point Method(GFPM). In this paper, we studied more about the weight of the game factor. We hope this will clarify them. We made definition of game factor, and studied more detail about Mission which was a little ambiguous in prior study. We also studied difficulties of game factor which will be a very important factor in game contents costing.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.3
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• pp.294-299
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• 2005

This paper presents the separation performance of the linearly mixed image signals with additive noises by using an independent component analyses(ICAs) of the fixed-point(FP) algorithm based on Newton and secant method, respectively. The Newton's FP-ICA uses the slope of objective function, and the secant's FP-ICA also uses the tangent line of objective function. The 2 kinds of ICA have been applied to the 2 dimensional 2-image with $512\times512$ pixels. Then Gaussian noise and Laplacian noise are added to the mixed images, respectively. The experimental results show that the Newton's FP-ICA has better the separation speed than secant FP-ICA and the secant's FP-ICA has also the better separation rate than Newton's FP-ICA. Especially, the Newton and secant method gives relatively larger improvement degree in separation speed and rate as the noise increases.

• The KIPS Transactions:PartD
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• v.9D no.4
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• pp.603-612
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• 2002

Area of software measurement in software engineering is active more than thirty years. There is a huge collection of researches but still no concrete software development effort and cost estimation model. If we want to measure the effort and cost of a software project, we need to estimate the size of the software. A number of software metrics are identified in the literature; the most frequently cited measures are LOC (line of code) and FPA (function point analysis). The FPA approach has features that overcome the major problems with using LOC as a measure of system size. This paper presents simple linear regression model that related software development effort to software size measured in FP. The model is derived from the plotting of the effort and FP relation. The experimental data are collected from 789 software development projects that were recently developed under the various development environments and development methods. Also, the model is compare with other regression analysis model. The presented model has the best estimation ability among the software effort estimation models.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06b
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• pp.128-131
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• 2011

현재 IT 환경은 빠른 서비스의 생성과 컴포넌트의 재활용성을 통하여 새로운 비즈니스 환경 변화에 가장 빠르게 대응하는 것이 중요하다. 따라서 기존 Legacy 시스템의 한계를 극복한 SOA(Service Oriented Architecture)가 각광받고 있다. 하지만 SOA와 같은 Web 기반 시스템의 경우 Legacy 시스템 측정에 알맞게 구축된 비용산정에 어려움을 겪고 있으며, 잘못된 비용 산정의 결과로 인하여 다수의 프로젝트가 실패하고 있다. 따라서 본 논문은 현재 국내 소프트웨어 개발 규모 산정을 위한 국제 표준인 FP(Function Point)를 통한 규모 산정 방식을 제안한다. 본 논문은 기존 FP방식이 사용자 중심의 기능 단위로 산정을 함에 따라 발생하는 문제점을 제시하고, 기존 산정 방식의 문제점을 개선한 연계 기능을 포함한 FP 산출 방법의 제안을 통하여 기존 FP에서 측정할 수 없었던 SOA 도메인의 특징을 반영한 FP의 산출이 가능하다. 이를 통하여 SOA 기반 시스템의 정확한 예산 측정이 가능하며, 프로젝트의 실패를 감소할 수 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.202-204
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• 2012

새로운 비즈니스 환경 변화에 가장 빠르게 대응하는 것이 중요한 IT 환경에서 빠른 서비스의 생성과 컴포넌트의 재활용성이 중요해지고 있다. 한편, 기존 Legacy 시스템의 한계를 극복한 WOA(Web Oriented Architecture)가 부각되고 있지만 Web 기반 시스템의 경우 Legacy 시스템 측정에 알맞게 구축된 비용산정에 어려움을 겪고 있으며, 잘못된 비용 산정의 결과로 인하여 다수의 프로젝트가 실패할 위험을 안고 있다. 따라서 본 논문은 현재 국내 소프트웨어 개발 규모 산정을 위한 국제 표준인 FP(Function Point)를 통한 규모 산정 방식을 제안한다. 본 논문은 기존 FP방식이 가질수 있는 문제점을 제시하고, 기존 산정방식의 문제점을 개선한 연계 기능을 포함한 FP 산출 방법의 제안을 통해 WOA 도메인의 특징을 반영한 FP의 산출이 가능하다. 이를 통하여 WOA 기반 시스템의 정확한 예산 측정이 가능하며, 프로젝트의 실패를 감소할 수 있다.

• The KIPS Transactions:PartD
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• v.11D no.1
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• pp.163-172
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• 2004

In the software development project applying object-oriented development methodology, the research on the UCP(Use Case Point) as a method to estimate development effort is being carried on. The existing research proposes the linear model calculating the development effort that multiplies an invariant on AUCP(Adjusted Use Case Point) which applied technical and environmental factors. However, the statistical model that estimates the development effort using AUCP and UUCP(Unadjusted Use Case Point) is not being studied. The irrelevant relationship of the linear regression model, whose development period is increasing tremendously as the software size increases, is confirmed. Moreover, during the UCP calculating process, there can be errors in FP by applying the TCF(Technical Complexity Factor) and EF(Environmental Factor). This paper presents a non-linear regression model, that does not consider the TCF and EF, and that estimate the development effort from UUCP directly by utilizing the exponential function. An exponential function is selected among the linear, logarithm, polynomial, power, and exponential model via statistical evaluations of the models mentioned above.