Functional size measurement revisited

Author:

Gencel Cigdem1,Demirors Onur1

Affiliation:

1. Middle East Technical University, Ankara, Turkey

Abstract

There are various approaches to software size measurement. Among these, the metrics and methods based on measuring the functionality attribute have become widely used since the original method was introduced in 1979. Although functional size measurement methods have gone a long way, they still provide challenges for software managers. This article identifies improvement opportunities based on empirical studies we performed on ongoing projects. We also compare our findings with the extended dataset provided by the International Software Benchmarking Standards Group (ISBSG).

Publisher

Association for Computing Machinery (ACM)

Subject

Software

Reference90 articles.

1. Abran A. 1994. Analysis of the Measurement Process of Function Point Analysis a PhD Thesis Submitted to Department of Electrical Engineering and Software Engineering École Polytechnique De Montréal. Abran A. 1994. Analysis of the Measurement Process of Function Point Analysis a PhD Thesis Submitted to Department of Electrical Engineering and Software Engineering École Polytechnique De Montréal.

2. Function points: A study of their measurement processes and scale transformations

3. Abran A. Ndiaye I. and Bourque P. 2003. Contribution of software size in effort estimation. Research Laboratory in Software Engineering École de Technologie Supérieure Canada. Abran A. Ndiaye I. and Bourque P. 2003. Contribution of software size in effort estimation. Research Laboratory in Software Engineering École de Technologie Supérieure Canada.

Cited by 62 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Microservice-based projects in agile world: A structured interview;Information and Software Technology;2024-01

2. An exploratory case study using events as a software size measure;Information Technology and Management;2023-04-13

3. Measuring Size of Enterprise Applications: Using Data Transaction Points in the Field;SSRN Electronic Journal;2022

4. Software Effort Estimation Using ISBSG Dataset: Multiple Case Studies;2021 15th Turkish National Software Engineering Symposium (UYMS);2021-11-17

5. Learning From Mistakes: Machine Learning Enhanced Human Expert Effort Estimates;IEEE Transactions on Software Engineering;2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3