Group Organization System for Software Engineering Group Learning with Genetic Algorithm
Summary :
The group organization used for group learning in a knowledge intensive domain like software development affects educational achievement. This paper proposes a group organization system for software engineering education done through group learning. The organizational problem itself is defined and why a Genetic Algorithm (GA) is an appropriate means of solving this problem is explained. This system is a Web application developed with open source software and runs on an open source software platform. Based on the group organization data collected from actual classes, we generated various group organizations by using different strategy parameter values. We then gave a questionnaire to actual students asking them which solution produced the fairest group organization. The replies received revealed that the candidate solution that set greater weight on leadership capability and system analysis capability was the fairest.
- Publication
- IEICE TRANSACTIONS on Information Vol.E85-D No.4 pp.666-673
- Publication Date
- 2002/04/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Issue on Knowledge-Based Software Engineering)
- Category
- Experiment
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Atsuo HAZEYAMA, Naota SAWABE, Seiichi KOMIYA, "Group Organization System for Software Engineering Group Learning with Genetic Algorithm" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 4, pp. 666-673, April 2002, doi: .
Abstract: The group organization used for group learning in a knowledge intensive domain like software development affects educational achievement. This paper proposes a group organization system for software engineering education done through group learning. The organizational problem itself is defined and why a Genetic Algorithm (GA) is an appropriate means of solving this problem is explained. This system is a Web application developed with open source software and runs on an open source software platform. Based on the group organization data collected from actual classes, we generated various group organizations by using different strategy parameter values. We then gave a questionnaire to actual students asking them which solution produced the fairest group organization. The replies received revealed that the candidate solution that set greater weight on leadership capability and system analysis capability was the fairest.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_4_666/_p
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@ARTICLE{e85-d_4_666,
author={Atsuo HAZEYAMA, Naota SAWABE, Seiichi KOMIYA, },
journal={IEICE TRANSACTIONS on Information},
title={Group Organization System for Software Engineering Group Learning with Genetic Algorithm},
year={2002},
volume={E85-D},
number={4},
pages={666-673},
abstract={The group organization used for group learning in a knowledge intensive domain like software development affects educational achievement. This paper proposes a group organization system for software engineering education done through group learning. The organizational problem itself is defined and why a Genetic Algorithm (GA) is an appropriate means of solving this problem is explained. This system is a Web application developed with open source software and runs on an open source software platform. Based on the group organization data collected from actual classes, we generated various group organizations by using different strategy parameter values. We then gave a questionnaire to actual students asking them which solution produced the fairest group organization. The replies received revealed that the candidate solution that set greater weight on leadership capability and system analysis capability was the fairest.},
keywords={},
doi={},
ISSN={},
month={April},}
Copy
TY - JOUR
TI - Group Organization System for Software Engineering Group Learning with Genetic Algorithm
T2 - IEICE TRANSACTIONS on Information
SP - 666
EP - 673
AU - Atsuo HAZEYAMA
AU - Naota SAWABE
AU - Seiichi KOMIYA
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2002
AB - The group organization used for group learning in a knowledge intensive domain like software development affects educational achievement. This paper proposes a group organization system for software engineering education done through group learning. The organizational problem itself is defined and why a Genetic Algorithm (GA) is an appropriate means of solving this problem is explained. This system is a Web application developed with open source software and runs on an open source software platform. Based on the group organization data collected from actual classes, we generated various group organizations by using different strategy parameter values. We then gave a questionnaire to actual students asking them which solution produced the fairest group organization. The replies received revealed that the candidate solution that set greater weight on leadership capability and system analysis capability was the fairest.
ER -
English
