원문정보
보안공학연구지원센터(IJDTA)
International Journal of Database Theory and Application
Vol.9 No.3
2016.03
pp.11-18
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This research work investigates the correlation of software function point elements using bootstrap simulation. The correlation of software function point elements plays an important role in understanding the software size; the correlation among function point elements suggests that they measure the same attribute of a software project. Bootstrapping is an effective method to study the statistical properties of correlation coefficients; bootstrap produces a histogram of the possible values of correlation coefficients, which helps to understand the range and spread of the correlation among different function point elements, rater then generating a single point estimate of the correlation.
목차
Abstract
1. Introduction
2. Function Points Description
3. Understanding the Dataset
4. Function Points Correlations through Bootstrapping
5. Conclusions
References
Abstract
1. Introduction
2. Function Points Description
3. Understanding the Dataset
4. Function Points Correlations through Bootstrapping
5. Conclusions
References
1. Introduction
2. Function Points Description
3. Understanding the Dataset
4. Function Points Correlations through Bootstrapping
5. Conclusions
References
Abstract
1. Introduction
2. Function Points Description
3. Understanding the Dataset
4. Function Points Correlations through Bootstrapping
5. Conclusions
References
저자정보
참고문헌
자료제공 : 네이버학술정보