Presentation 2022-03-10
Multi-agent Simulation to Predict Schedule Risks in Student's projects
Fumihiro Kumeno,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We have conducted a software development project course with real clients; non-profit organizations of local community, local governments and special schools. While such project course can bring project work experiences of real software development to the students, many risks are inherent. In this paper, we focus on schedule delay risks and workload imbalance risks. We propose a risk prediction method of student projects based on multi-agent model which includes task dependencies expressed by PERT(Program Evaluation and Review Technique). The simulation result showed task allocation methods may affect the possibility of schedule delay risks and workload imbalance risks.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Student project with real clients / Risk Analysis / Multi-agent simulation / PERT
Paper # KBSE2021-52
Date of Issue 2022-03-02 (KBSE)

Conference Information
Committee KBSE
Conference Date 2022/3/9(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) General, Student
Chair Hiroyuki Nakagawa(Osaka Univ.)
Vice Chair Takuya Saruwatari(NTT Data)
Secretary Takuya Saruwatari(Shinshu Univ)
Assistant Hideharu Kojima(Osaka Univ.) / Yutaro Kashiwa(Kyushu Univ,)

Paper Information
Registration To Technical Committee on Knowledge-Based Software Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Multi-agent Simulation to Predict Schedule Risks in Student's projects
Sub Title (in English)
Keyword(1) Student project with real clients
Keyword(2) Risk Analysis
Keyword(3) Multi-agent simulation
Keyword(4) PERT
1st Author's Name Fumihiro Kumeno
1st Author's Affiliation Nippon Institute of Technology(NIT)
Date 2022-03-10
Paper # KBSE2021-52
Volume (vol) vol.121
Number (no) KBSE-424
Page pp.pp.66-71(KBSE),
#Pages 6
Date of Issue 2022-03-02 (KBSE)