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Paper Abstract and Keywords
Presentation 2026-03-02 09:40
Development and Practice of Pedagogically Effective AI-Driven Inspection System for Requirements Specification in Software Development Project-Based Learning
Jun Yoshida (TGU), Hashiura Hiroaki (NIT), Atsuo Hazeyama (TGU) SS2025-30
Abstract (in Japanese) (See Japanese page) 
(in English) This study implemented a pedagogically effective AI-driven inspection system for Software Requirements Specification (SRS) reviews in a project-based learning (PBL) environment and analyzed its impact on human understanding, judgment, and acceptance. The AI inspection system was integrated into a curriculum using the CRAFTN rubric—reconstructed based on ISO/IEC/IEEE 29148—and a three-tier feedback structure consisting of "Issue, Reason, and Suggestion." A questionnaire survey was conducted with eight inspectors and seven students.The results indicated that AI inspection is effective in identifying ambiguities and formal deficiencies in descriptions, contributing to the justification of judgments and clarification of revision policies. Conversely, the findings suggested that the system's high granularity and lack of contextual adaptation could lead to over-reliance or excessive trust. While students were generally receptive to the AI-generated feedback, the results underscored the importance of designing systems that consider individual learner characteristics. This study provides practical insights for designing AI not as a replacement for humans, but as a collaborative tool for review support.
Keyword (in Japanese) (See Japanese page) 
(in English) Software Development project-based learning / Software Requirements Specification / AI Inspection / Educational Feedback / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 376, SS2025-30, pp. 1-6, March 2026.
Paper # SS2025-30 
Date of Issue 2026-02-23 (SS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF SS2025-30

Conference Information
Committee SS  
Conference Date 2026-03-02 - 2026-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Tsushimashi Koryu Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SS 
Conference Code 2026-03-SS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development and Practice of Pedagogically Effective AI-Driven Inspection System for Requirements Specification in Software Development Project-Based Learning 
Sub Title (in English)  
Keyword(1) Software Development project-based learning  
Keyword(2) Software Requirements Specification  
Keyword(3) AI Inspection  
Keyword(4) Educational Feedback  
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1st Author's Name Jun Yoshida  
1st Author's Affiliation Tokyo Gakugei University (TGU)
2nd Author's Name Hashiura Hiroaki  
2nd Author's Affiliation Nippon Institute of Technology (NIT)
3rd Author's Name Atsuo Hazeyama  
3rd Author's Affiliation Tokyo Gakugei University (TGU)
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Speaker Author-1 
Date Time 2026-03-02 09:40:00 
Presentation Time 25 minutes 
Registration for SS 
Paper # SS2025-30 
Volume (vol) vol.125 
Number (no) no.376 
Page pp.1-6 
#Pages 6 
Date of Issue 2026-02-23 (SS) 

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