• Journal of the Korea Safety Management & Science
• /
• v.12 no.2
• /
• pp.147-152
• /
• 2010

Project implementation plan is a blueprint that confirms project performance activities and specifies required man-hour, period and resource imput ratio. Various figures, the results of implementation plan, are predicted through estimation, and because of superiority of objectivity and repeatability, numerical formula-based estimation model is often used overseas. COCOMO model is the representative estimation model whose theories and formulas are publicized and it predicts the total man-hour required for software system development. This model is publicized in "Software Engineering Economics" written by Professor Barry Boehm of the U.S., and is the most widely applied numerical formula-based estimation model. This study is conducted to provide a series of methods that are optimal for KTDS environment by choosing COCOMO II model among various types of COCOMO models. In establishing implementation plan, COCOMO II model alone is not sufficient, it is necessary to link with and apply standard WBS system and standard man-hour. In establishing specific implementation plan, phased standard WBS system in order of the first phase of all the activities implemented in the project, Activity, Task, and Role, and the man-hour put into this should be distributed according to standard ratio from COCOMO II model's total man-hour. This study provides explainations by establishing standard WBS system and linking with COCOMO II model.

• 제어로봇시스템학회:학술대회논문집
• /
• 2000.10a
• /
• pp.377-377
• /
• 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.

• Proceedings of the Korea Society for Industrial Systems Conference
• /
• 2000.05a
• /
• pp.135-143
• /
• 2000

The COCOMO Ⅱ model is well-suited for the new software development life cycle such as non-sequential and rapid-development processes. The traditional regression approach based on the least square criterion is the most commonly used technique for empirical calibration in the COCOMO Ⅱ model. But it has a few assumptions frequently violated by software engineering data sets. It is true that the source data is also generally imprecise in reporting size, effort, and cost-driver ratings, particularly across different organizations. And that the outlier for the source data is a peculiarity and indicates a data pint To cope with difficulties, in this paper, we propose a new regression method for calibrating COCOMO Ⅱ post-architecture model based on the minimum relative erro(MRE) criterion. The characteristic of the proposed method is insensitive to the extreme values of the data in the empirical calibration. As the experimental results, It is evident that our proposed calibration method MRE was shown to be superior to the traditional regression approach for model calibration, as illustrated by the values obtained for standard deviation(^σ), and prediction at level L PRED(L) measures.

• Journal of Korea Society of Industrial Information Systems
• /
• v.5 no.2
• /
• pp.47-55
• /
• 2000

To date many software engineering cost models have been developed to predict cost, schedule, and effort of the software under development. The COCOMO Ⅱ is well- suited for the new software development life cycle such as non-sequential and rapid- development processes. The traditional regression approach based on the least square criterion is the most commonly used technique for empirical calibration in the COCOMO Ⅱ model. It has a few assumptions frequently violated by software engineering data sets. The source data is also generally imprecise in reporting size effort, and cost-driver ratings, particularly across different organizations. And that the outlier for the source data is a peculiarity and indicates a data point. To cope with difficulties, in this paper, we propose a new regression method for calibrating COCOMO Ⅱ post-architecture model based on the minimum relative error(MRE) criterion. The characteristic of the proposed method is insensitive to the extreme values of the data in the empirical calibration. As the experimental results, It is evident that our proposed calibration method MRE was shown to be superior to the traditional regression approach for model calibration, as illustrated by the values obtained for standard deviation(^σ), and prediction at level LPRED(L) measures.

• Defense and Technology
• /
• no.8 s.282
• /
• pp.46-55
• /
• 2002

지난 7월호에서는 COCOMO 모델, 기능점수모델, PRICE-S모델, 일반 COSDES 모델 등의 무기체계 S/W 개발비용 산정모델들을 조사 및 분석하여 제시하였다. 이번 8월호에서는 무기체계 소프트웨어 개발비용산저에 영향을 미치는 요소를 기존의 '한소협' 모델, PRICE-S 모델, 기능점수 모델, COCOMO 모델 등 여러 소프트웨어 개발비용 산정모델을 참고 후 무기체계의 특성을 고려하여 식별하였다. 또한 식별된 요소들을 '한소협' 모델의 절차와 방법에 따라 무기체계 소프트웨어의 스텝 수 산정 영향요소, 환경요인 보정계수 영향요소, 제경비 및 기술료 산정 영향요소들을 식별하여 제시하였다.

• Journal of Information Technology Services
• /
• v.5 no.1
• /
• pp.97-109
• /
• 2006

As software becomes more complex and its scope dramatically increases, the importance of research on developing methods for estimating software development efforts has been increased. Such accurate estimation has a prominent impact on the development projects. To develop accurate effort estimation models, many studies have been conducted among the academia and the practitioners. Out of the numerous methods, Constructive Cost Model (COCOMO) based on Line of Code (LOC), Regression Model based on Function Point (FP) were the most popular models in the past. As today's development environments are dynamically changing, these traditional methods do not work anymore. There is an impending need to develop an accurate estimation model which accommodates itself to the new environments. As a possible solution, this research proposes and evaluates an software development estimation model based on function points and neural networks.

• International Journal of Computer Science & Network Security
• /
• v.24 no.6
• /
• pp.17-22
• /
• 2024

Software cost and schedule estimation is usually based on the estimated size of the software. Advanced estimation techniques also make use of the diverse factors viz, nature of the project, staff skills available, time constraints, performance constraints, technology required and so on. Usually, estimation is based on an estimation model prepared with the help of experienced project managers. Estimation of software cost is predominantly a crucial activity as it incurs huge economic and strategic investment. However accurate estimation still remains a challenge as the algorithmic models used for Software Project planning and Estimation doesn't address the true dynamic nature of Software Development. This paper presents an efficient approach using the contemporary Constructive Cost Model (COCOMO) augmented with the desirable feature of fuzzy logic to address the uncertainty and flexibility associated with the cost drivers (Effort Multiplier Factor). The approach has been validated and interpreted by project experts and shows convincing results as compared to simple algorithmic models.

• Journal of Korea Society of Industrial Information Systems
• /
• v.5 no.3
• /
• pp.18-29
• /
• 2000

This study presents a cost of efforts estimation model under the environment of developing a software using component software package tools. The approach taken was to drive from variety of sources in an attempt to identify the most significant factors. These sources ranged from already existing cost models like COTS integration cost and COCOMO models to information gathered in a data collection survey. Once the candidate drivers had been identified, the next step was to interview with the experts who had been experienced more than 5 years in component development area to identify the most significant driving factors. From those selected drivers, I established the Cost Estimation Model which is suitable for the developing a software using component software package tools by applying the general from of the well-know COCOMO software cost estimation model. To established the best fit in Korean Software industry, I used Regression statistical analysis with 31 data collections.

• Proceedings of the Korea Association of Information Systems Conference
• /
• 1997.10a
• /
• pp.379-388
• /
• 1997

새로운 소프트웨어를 개발할 때에 이미 개발되어진 소프트웨어를 재사용 함으로써 얻을 수 있는 장점은 많다. 그 중에서 이미 검증된 소프트웨어를 사용함으로써, 오류가 감 소됨에 따라 고품질의 소프트웨어를 생산할 수 있고, 소프트웨어의 개발비용을 생산성을 향 상시킬 수 있다. 본 논문에서는 소프트웨어를 재사용 함으로써 소프트웨어 개발 시에 사용 되는 비용과 생산성을 상대 비교해서, 소프트웨어 개발에 소요되는 비용과 생산성의 관계를 나타내는 새로운 모형과 예를 제시하고 있다. 또한 소프트웨어 재사용시에 개발기관과 총인 월에 대한 생산성을 COCOMO 모형을 사용해 규명하고 있다.

• Defense and Technology
• /
• no.7 s.281
• /
• pp.38-49
• /
• 2002

이번 호에서는 COCOMO 모델, 기능점수모델, PRICE-S 모델, 일반 COSDES 모델 등의 무기체계 S/W 개발비용 산정모델들을 조사 및 분석하여 제시 하였다. 다음에 계속되는 7, 8월호에서는 무기체계 S/W 개발 비용 산정에 영향을 미치는 요소인 스텝수 산정, 환경요인 보정계수, 제경비 및 기술료를 산정하는데 있어서 각각의 영향요소들을 식별하여 제시하고, 무기체계 S/W 개발비용 산정 개선방안 및 이에 대한 정책적인 발전방향을 제시하고자 한다.