@techreport{oai:ipsj.ixsq.nii.ac.jp:00211819,
 author = {塚本, 良太 and 徳本, 修一 and 髙橋, 加寿子 and 磯田, 誠 and 中島, 毅 and Ryota, Tsukamoto and Shuichi, Tokumoto and Kazuko, Takahashi and Makoto, Isoda and Tsuyoshi, Nakajima},
 issue = {19},
 month = {Jul},
 note = {長期に渡って流用開発を繰り返してきた製品では，要求仕様や設計に関する知識が影響分析の精度に大きな影響を与える．特に開発プロセス上流の設計文書はソースコード等のモデル化された設計書とは異なり，自然言語で記載されているため，経験年数の浅い開発者が影響分析を実施する場合，知識不足により影響範囲の確認漏れが発生するリスクが高くなる．本研究では経験年数によらずに影響範囲の確認漏れを防止するために，文章の類似度による影響範囲の候補抽出方式を開発した．既存のプロジェクトで評価したところ，文字数ベースで 54% の工数削減を確認できた．, For products that have been repeatedly modified over a long period of time, the accuracy of impact analysis largely depends on knowledge of requirement specifications and design. Because the design documents in the upstream of the development process are written in natural language, when developers with less experience perform impact analysis, there is a high risk of omission of the identification of the affected part due to lack of knowledge. In this study, we developed a method to extract candidate affected part based on the similarity of sentences in order to identify the impact areas regardless of the number of years of experience. We evaluated the method in an existing project, and confirmed a 54% reduction in man-hours based on the number of characters.},
 title = {文章の類似度を用いた影響分析方式の提案},
 year = {2021}
}