• Journal of KIISE:Software and Applications
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• v.31 no.5
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• pp.555-562
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• 2004

Software industry has put more emphasis on maintenance and enhancement work than on the new development. The existing effort estimation models can still be applied to maintenance projects, though modifications are needed. This paper suggests a way to estimate the size of a maintenance project from the regression analysis of ISBSG's benchmarking data. First of all, among the 3 elements(addition, modification and deletion of the program) which influences the software cost, we selected and classified 4 groups from a total of 8 which shows actual maintenance cost from ISBSG's data. Moreover, we developed statistical model and a model which uses RBF(Radial Basis Function) Network and after evaluating each functions we concluded that the RBF Network is superior to the statistical model.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.333-338
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• 2007

소프트웨어 개발 프로젝트의 15%는 시작하기도 전에 종결되며, 66%의 프로젝트는 실패로 간주되고 있다. 또한 평균적으로, 완료된 프로젝트의 43%가 비용을 초과하는 것으로 나타났다. 실제로 2002년도 미국에서 소프트웨어 프로젝트의 투자 실패로 인한 손실은 비용의 초과로 생긴 170억 달러를 포함해 총 손실 금액이 380억 달러인 것으로 추정하고 있다. 이러한 문제점을 해결하고자 하는 여러 시도 중에 하나가 ISBSG(International Software Benchmarking Standard Group, 2004)으로, 소프트웨어 프로젝트 관련 데이터를 국제적으로 수집하여 위와 같은 문제의 원인을 밝히고자 노력하고 있다. 본 연구는 ISBSG에서 수집한 데이터를 이용해 소프트웨어 시스템과 관련된 요인 중에서 기능성 품질, 문서화품질, 훈련정도, 소프트웨어크기, 전체결함수, 사업요구사항충족, 사용편리성, 목표달성이라는 6개 변수 간의 연관성을 분석하였다. 분석대상 프로젝트는 49개이고, 분석 방법으로는 SURE(Seemingly Unrelated REgression)를 사용하였다. 분석 결과 소프트웨어 기능성품질은 사업요구사항충족, 사용편리성과 정의 관계를 가지며, 사용편리성은 사업요구사항충족과 정의 관계를 가지는 것으로 밝혀졌다. 또한 사업요구사항충족은 목표달성과 정의 관계를 가지고 있다.

• Journal of the Korea Computer Industry Society
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• v.7 no.3
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• pp.191-198
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• 2006

Area of software measurement is active more than thirty years. There is a huge collection of researches but still no concrete software development effort, duration and cost estimation model. The data sets used to conduct previous studies in the duration estimation model are often small and not too recent, these types of models should not be apply in recent projects that have complex architecture and various development environment. Therefore, Oligny et al. presents empirical models that predict software project duration in accordance with project platform based on project effort using the log data transformation. These models are based on the analysis of 396 project data provided by release 4 of the ISBSG Benchmark. Applying Oligny et al.'s models to 534 project data provided release 6 of the ISBSG Benchmark, the project duration is affected by development type more than development platform. Therefore, This paper presents the model of duration estimation according to development type. This paper proves the duration is more affected by development type than development platform. And, The model according to development type is more adequate for duration estimation.

• Journal of Digital Convergence
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• v.8 no.1
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• pp.93-107
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• 2010

Performance of software development is measured by two major criteria - roductivity and quality. Although the criteria is empirically tested in software engineering research, they often present with a limited way under consideration of a few factors or contexts for developers to focus on the either productivity facets or quality facets. Analyzing data on software development performance collected over a 13-year period from 20 countries, we investigated how major software development factors - development type, development platform, development technique, language type, DBMS, methodology, methodology acquisition, CASE,, summary of work effort, resource level, max team size, affect the performance of software development. The results suggest that productivity and quality of software development are affected by different factors and context: function points, line of code, extreme defects, major defects, or minor defects. This research provides the empirical evidence that the two performance criteria require for software developer to have careful attention to find the optimal balance between the two performance criteria.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.99-106
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• 2013

Generally, software development schedule compression is decided within 75% of nominal schedule. However, there are some difficulties when we judge the possibility of development schedule compression because a nominal schedule has not been definitely. Therefore, this paper investigates various nominal schedule estimation models and decides the optimum range. Basing on the performance of ISBSG Release 8,614 projects are extracted from the actual 1,595 projects. We presented development effort estimation model from those data. Also, we derived the development schedule model from the development effort. When you apply the proposed model, you will be able to estimate development effort and schedule required for the development more actually.

• Journal of the Korea Society of Computer and Information
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• v.14 no.4
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• pp.131-139
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• 2009

The decision makers of IT projects are faced to situations to choose a best development method between inhouse development and solution purchase when companies must develop a new system or enhance the existed system. For those decision makers related to the IT projects, this study provides them with meaningful results through the ISBSG project repositary, how each development method, such as a development inhouse, a solution purchased, a combined method, impact the function point, which is a critical factor to measure the required time, efforts, cost of IT project development.

• Journal of KIISE:Software and Applications
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• v.35 no.10
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• pp.589-599
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• 2008

Accurate software effort estimation has always been a challenge for the software industrial and academic software engineering communities. Many studies have focused on effort estimation methods to improve the estimation accuracy of software effort. Although data quality is one of important factors for accurate effort estimation, most of the work has not considered it. In this paper, we investigate the influence of outlier elimination on the accuracy of software effort estimation through empirical studies applying two outlier elimination methods(Least trimmed square regression and K-means clustering) and three effort estimation methods(Least squares regression, Neural network and Bayesian network) associatively. The empirical studies are performed using two industry data sets(the ISBSG Release 9 and the Bank data set which consists of the project data collected from a bank in Korea) with or without outlier elimination.

• Korean Management Science Review
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• v.20 no.2
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• pp.179-196
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• 2003

Function point model is the international standard method to measure the software size which is one of the most important factors to determine the software development cost. Function point model can successfully be applied only when the detailed specification of users' requirements is available. In the domestic public sector, however, the budgeting for software projects is carried out before the requirements of softwares ere specified in detail. Therefore, an efficient function point estimation method is required to apply function point model at the early stage of software development projects. The purpose of this paper is to compare various function point estimation methods and analyse their accuracies in domestic software projects. We consider four methods : NESMA model, ISBSG model, the simplified function point model and the backfiring method. The methods are applied to about one hundred of domestic projects, and their estimation errors are compared. The results can used as a criterion to select an adequate estimation model for function point counts.

• 한국IT서비스학회:학술대회논문집
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• 2002.11a
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• pp.262-268
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• 2002

일반산업 분야의 프로젝트에 비해 소프트웨어 개발 분야에서의 프로젝트는 그 자체 특성상 가시적이고 계량적으로 평가하기 어려웠고 이로 인해 그 동안 국내 업계 및 정부기관에서는 프로젝트 규모 및 비용 산정에 있어서 많은 어려움이 있었다. 다행히도 최근 국제적으로 소프트웨어 프로젝트 측정기준으로 자리잡고 있는 기능점수에 관해서 국내 학계 및 업계에서도 관심을 가지게 되었고 관련된 연구결과도 계속 나오고 있다. 또한, 정부기관을 비롯하여 업계에서도 이러한 연구 결과를 기반으로 소프트웨어 개발비, 유지보수 및 재 개발비의 산정 기준으로 기능점수를 활용하려는 시도가 이루어지고 있다. 이러한 기능점수의 산정에 있어서 프로젝트의 주요 개발 요소인 하드웨어 플랫폼, 개발언어 유형, 대상업무 유형, 개발 납기 등에 따라 보정계수가 다르게 적용되고 있다. 그러나 아직 국내에서는 기능점수로 프로젝트 비용을 산정하기 위한 공감대 및 신뢰도에 대한 확산이 안된 상태이고 이에 따른 분쟁의 소지도 여전히 가지고 있다. 이러한 시점에서 본 논문은 ISBSG(International Software Benchmarking Standards Group)에서 제공하는 그 동안 축적된 해외 프로젝트 개발 결과 데이터를 기초로 기능점수와 프로젝트 개발에 투입되는 주요 개발요소간 관련성 및 프로젝트 개발 요소간의 상관관계를 분석 및 검증하여, 프로젝트 내에서의 기능점수와 관련된 개발요소간의 관련 정도에 대한 통계적 근거를 제시하여 향후 기능점수와 관련해서 이와 유사한 국내 프로젝트 수행 시 벤치마킹 자료로 활용하는데 그 목적이 있다.