Time distribution of software stage effort

Yong Wang; Lili Wang; Yi Li; Xiaoyan Zhu

doi:10.1109/APSECW.2017.9

Time distribution of software stage effort

Yong Wang
, Lili Wang
, Yi Li
, Xiaoyan Zhu

Faculty of Electronic and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

In the 1950s, Norden first employed the Rayleigh Curve to describe the time distribution rule of software project effort. However, to date, there is no new curve proposed for the later software projects. This research explores a new distribution rule which leads further to estimate software stage effort. We conducted a study on the basis of 4,516 actual projects, and derived general monthly effort distribution curves from them. The new curve has some features similar with Norden's curve, but there also exist some obvious differences. Benefit from a large number of projects, we also found the monthly effort statistical distribution and the typical value of each month. The research results give a new facet about software projects within the dataset, and can be helpful for software project management.

Original language	English
Title of host publication	Proceedings - 2017 24th Asia-Pacific Software Engineering Conference Workshops, APSECW 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	41-49
Number of pages	9
ISBN (Electronic)	9781538626498
DOIs	https://doi.org/10.1109/APSECW.2017.9
State	Published - 2 Jul 2017
Event	24th Asia-Pacific Software Engineering Conference Workshops, APSECW 2017 - Nanjing, China Duration: 4 Dec 2017 → 8 Dec 2017

Publication series

Name	Proceedings - 2017 24th Asia-Pacific Software Engineering Conference Workshops, APSECW 2017
Volume	2018-January

Conference

Conference	24th Asia-Pacific Software Engineering Conference Workshops, APSECW 2017
Country/Territory	China
City	Nanjing
Period	4/12/17 → 8/12/17

Keywords

Software project management
Software stage effort
Stage effort distribution
Stage effort prediction

Access to Document

10.1109/APSECW.2017.9

Cite this

Wang, Y., Wang, L., Li, Y., & Zhu, X. (2017). Time distribution of software stage effort. In Proceedings - 2017 24th Asia-Pacific Software Engineering Conference Workshops, APSECW 2017 (pp. 41-49). (Proceedings - 2017 24th Asia-Pacific Software Engineering Conference Workshops, APSECW 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSECW.2017.9

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title = "Time distribution of software stage effort",

abstract = "In the 1950s, Norden first employed the Rayleigh Curve to describe the time distribution rule of software project effort. However, to date, there is no new curve proposed for the later software projects. This research explores a new distribution rule which leads further to estimate software stage effort. We conducted a study on the basis of 4,516 actual projects, and derived general monthly effort distribution curves from them. The new curve has some features similar with Norden's curve, but there also exist some obvious differences. Benefit from a large number of projects, we also found the monthly effort statistical distribution and the typical value of each month. The research results give a new facet about software projects within the dataset, and can be helpful for software project management.",

keywords = "Software project management, Software stage effort, Stage effort distribution, Stage effort prediction",

author = "Yong Wang and Lili Wang and Yi Li and Xiaoyan Zhu",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 24th Asia-Pacific Software Engineering Conference Workshops, APSECW 2017 ; Conference date: 04-12-2017 Through 08-12-2017",

year = "2017",

month = jul,

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doi = "10.1109/APSECW.2017.9",

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series = "Proceedings - 2017 24th Asia-Pacific Software Engineering Conference Workshops, APSECW 2017",

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Wang, Y, Wang, L, Li, Y & Zhu, X 2017, Time distribution of software stage effort. in Proceedings - 2017 24th Asia-Pacific Software Engineering Conference Workshops, APSECW 2017. Proceedings - 2017 24th Asia-Pacific Software Engineering Conference Workshops, APSECW 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 41-49, 24th Asia-Pacific Software Engineering Conference Workshops, APSECW 2017, Nanjing, China, 4/12/17. https://doi.org/10.1109/APSECW.2017.9

Time distribution of software stage effort. / Wang, Yong; Wang, Lili; Li, Yi et al.
Proceedings - 2017 24th Asia-Pacific Software Engineering Conference Workshops, APSECW 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 41-49 (Proceedings - 2017 24th Asia-Pacific Software Engineering Conference Workshops, APSECW 2017; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Time distribution of software stage effort

AU - Wang, Yong

AU - Wang, Lili

AU - Li, Yi

AU - Zhu, Xiaoyan

PY - 2017/7/2

Y1 - 2017/7/2

N2 - In the 1950s, Norden first employed the Rayleigh Curve to describe the time distribution rule of software project effort. However, to date, there is no new curve proposed for the later software projects. This research explores a new distribution rule which leads further to estimate software stage effort. We conducted a study on the basis of 4,516 actual projects, and derived general monthly effort distribution curves from them. The new curve has some features similar with Norden's curve, but there also exist some obvious differences. Benefit from a large number of projects, we also found the monthly effort statistical distribution and the typical value of each month. The research results give a new facet about software projects within the dataset, and can be helpful for software project management.

AB - In the 1950s, Norden first employed the Rayleigh Curve to describe the time distribution rule of software project effort. However, to date, there is no new curve proposed for the later software projects. This research explores a new distribution rule which leads further to estimate software stage effort. We conducted a study on the basis of 4,516 actual projects, and derived general monthly effort distribution curves from them. The new curve has some features similar with Norden's curve, but there also exist some obvious differences. Benefit from a large number of projects, we also found the monthly effort statistical distribution and the typical value of each month. The research results give a new facet about software projects within the dataset, and can be helpful for software project management.

KW - Software project management

KW - Software stage effort

KW - Stage effort distribution

KW - Stage effort prediction

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M3 - 会议稿件

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Time distribution of software stage effort

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