| Paper Abstract and Keywords |
| Presentation |
2026-07-23 09:40
Evaluation of Rationale Extraction from Chat Logs Using Large Language Models Sonosuke Noguchi, Hidekazu Shiozawa, Takafumi Tanaka (Tamagawa Univ) SS2026-18 KBSE2026-18 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In agile software development, discussions regarding development take place in various meetings and chat sessions, and the content of these discussions serves as the rationale for changes to artifacts. Consequently, there is a problem where this rationale becomes scattered, making it difficult to reference. Therefore, this study develops a method that uses a large language model (LLM) to extract the rationale for changes to artifacts from chat conversations. In this study, we generated simulated development data using an LLM and evaluated the validity of the rationale extracted by our proposed method by applying it to the generated conversations and logs of artifact updates. The results showed a precision of 0.556, a recall of 0.753, and an F1 score of 0.639. Although the method did not achieve full automation of rationale extraction, it was found to be reasonably effective for use as a source of candidate rationales to assist in manual selection. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Artifacts Changes / Rationale Extraction / Large Language Models / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 126, no. 126, KBSE2026-18, pp. 103-108, July 2026. |
| Paper # |
KBSE2026-18 |
| Date of Issue |
2026-07-15 (SS, KBSE) |
| 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 |
SS2026-18 KBSE2026-18 |
| Conference Information |
| Committee |
SS KBSE IPSJ-SE |
| Conference Date |
2026-07-22 - 2026-07-24 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
KBSE |
| Conference Code |
2026-07-SS-KBSE-SE |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Evaluation of Rationale Extraction from Chat Logs Using Large Language Models |
| Sub Title (in English) |
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| Keyword(1) |
Artifacts Changes |
| Keyword(2) |
Rationale Extraction |
| Keyword(3) |
Large Language Models |
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| 1st Author's Name |
Sonosuke Noguchi |
| 1st Author's Affiliation |
Tamagawa University (Tamagawa Univ) |
| 2nd Author's Name |
Hidekazu Shiozawa |
| 2nd Author's Affiliation |
Tamagawa University (Tamagawa Univ) |
| 3rd Author's Name |
Takafumi Tanaka |
| 3rd Author's Affiliation |
Tamagawa University (Tamagawa Univ) |
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| Speaker |
Author-1 |
| Date Time |
2026-07-23 09:40:00 |
| Presentation Time |
20 minutes |
| Registration for |
KBSE |
| Paper # |
SS2026-18, KBSE2026-18 |
| Volume (vol) |
vol.126 |
| Number (no) |
no.125(SS), no.126(KBSE) |
| Page |
pp.103-108 |
| #Pages |
6 |
| Date of Issue |
2026-07-15 (SS, KBSE) |