Industry Application of Software Development Task Measurement System: TaskPit-Reference-Cited by-同舟云学术

Industry Application of Software Development Task Measurement System: TaskPit

Published:2017 Issue:3 Volume:E100.D Page:462-472
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

SUTHIPORNOPAS Pawin¹,LEELAPRUTE Pattara¹,MONDEN Akito²,UWANO Hidetake³,KAMEI Yasutaka⁴,UBAYASHI Naoyasu⁴,ARAKI Kenji⁵,YAMADA Kingo⁶,MATSUMOTO Ken-ichi⁷

Affiliation:

1. Department of Computer Engineering, Kasetsart University

2. Okayama University

3. National Institute of Technology, Nara College

4. Kyushu University

5. NCS&A Co., Ltd.

6. FineBus Co., Ltd.

7. Nara Institute of Science and Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E100.D/3/E100.D_2016EDP7222/_pdf

Reference22 articles.

1. [1] “Taskpit,” http://taskpit.jpn.org/

2. [2] A. Monden, H. Uwano, K. Araki, K. Yamada, and K.i. Matsumoto, “Automatic development task measurement in a software company,” JSSST Workshop on Foundation of Software Engineering, pp.257-262, 2013.

3. [3] T. DeMarco, Controlling software projects: Management, measurement, and estimates, Prentice Hall PTR, 1986.

4. [4] V.R. Basili and D.M. Weiss, “A methodology for collecting valid software engineering data,” IEEE Trans. Softw. Eng., vol.SE-10, no.6, pp.728-738, 1984.

5. [5] R.B. Grady, Practical software metrics for project management and process improvement, Prentice-Hall, 1992.

Cited by 2 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. Task estimation for software company employees based on computer interaction logs;Empirical Software Engineering;2021-07-13

2. A Study of an Automated Software Effort Measurement Method;Parallel and Distributed Computing, Applications and Technologies;2019