Building a Method for Reducing Missed Defects in Modern Code Review

• Project/Area Number: 18K11243
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 60050:Software-related
• Research Institution: Wakayama University
• Principal Investigator: Ohira Masao 和歌山大学, システム工学部, 准教授 (70379600)
• Project Period (FY): 2018-04-01 – 2021-03-31
• Project Status: Completed (Fiscal Year 2020)
• Budget Amount: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000); Fiscal Year 2020: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000); Fiscal Year 2019: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000); Fiscal Year 2018: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
• Keywords: モダンコードレビュー / High Impact Defects / ソフトウェア品質 / ソフトウェア保守 / 欠陥除去

Outline of Final Research Achievements

The goal of this research is to provide a means to prevent the inclusion of High Impact Defects (HIDs) in the modern code review stage. We set the following research goals and conducted the research in this project.
(Research Goal 1) Investigation of missed HID reviews: We compared and analyzed code reviews when HIDs were introduced in and after HIDs were found, and clarified the causes of missed HIDs and how to remove them. (Research Goal 2) Construction and evaluation of a prediction model for HID contamination: We constructed a model to determine whether a code is related to HID or not at the beginning of code review. (Research Goal 3) Development of a knowledge base for HID removal methods: We developed a knowledge base to support quick and safe removal of HIDs.

Academic Significance and Societal Importance of the Research Achievements

近年普及しつつあるモダンコードレビューにおいて重大な欠陥 (HID) を見逃す根本原因については不明なままであった．本研究では，HIDの見逃し原因と除去方法を明らかにするとともに，HIDの混入を判別するモデルを構築した．さらに，HID除去方法に関する知識ベースを構築した．信頼性の高いモダンコードレビューの実施を支援するという観点で，研究成果の社会的意義は大きいと考えている．

Research Products

• [Int'l Joint Research] MCIS Lab./Department of Computer Engineering/Ecole Polytechnique of Montreal(カナダ)
• [Journal Article] A Release-Aware Bug Triaging Method Considering Developers' Bug-Fixing Loads (2020)
  • Author(s): KASHIWA Yutaro、OHIRA Masao
  • Journal Title: IEICE Transactions on Information and Systems Volume: E103.D Issue: 2 Pages: 348-362
  • DOI: 10.1587/transinf.2019EDP7152
  • NAID: 130007793519
  • ISSN: 0916-8532, 1745-1361
  • Year and Date: 2020-02-01
  • Peer Reviewed / Open Access
• [Journal Article] Hierarchical Clustering of OSS License Statements toward Automatic Generation of License Rules (2019)
  • Author(s): Higashi Yunosuke、Ohira Masao、Kashiwa Yutaro、Manabe Yuki
  • Journal Title: Journal of Information Processing Volume: 27 Issue: 0 Pages: 42-50
  • DOI: 10.2197/ipsjjip.27.42
  • NAID: 130007580059
  • ISSN: 1882-6652
  • Peer Reviewed / Open Access
• [Presentation] Onboarding to Open Source Projects with Good First Issues: a Preliminary Analysis (2021)
  • Author(s): Hyuga Horiguchi, Itsuki Omori, Masao Ohira
  • Organizer: 2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER '21)
  • Int'l Joint Research
• [Presentation] Suggesting Questions that Match Each User’s Expertise in Community Question and Answering Services (2019)
  • Author(s): Katsunori Fukui, Tomoki Miyazaki, Masao Ohira
  • Organizer: 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2019)
  • Int'l Joint Research
• [Presentation] Code Clone Tracer (CCT): a Tracking Tool for Analyzing Human and Social Factors in Creating and Reusing Code Clones (2019)
  • Author(s): Yusuke Kukita, Kojiro Noguchi, Masao Ohira
  • Organizer: 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2019)
  • Int'l Joint Research
• [Presentation] A Bot for Suggesting Questions that Match Each User’s Expertise (2019)
  • Author(s): Katsunori Fukui, Tomoki Miyazaki, Masao Ohira
  • Organizer: 2019 IEEE/ACM 1st International Workshop on Bots in Software Engineering (BotSE '19)
  • Int'l Joint Research
• [Presentation] What Are the Perception Gaps between Floss Developers and Se Researchers? (2019)
  • Author(s): Yutaro Kashiwa, Akinori Ihara, Masao Ohira
  • Organizer: The 15th International Conference on Open Source Systems
  • Int'l Joint Research
• [Presentation] コードクローンへの欠陥混入防止に向けた欠陥混入クローンの特徴分析 (2019)
  • Author(s): 野口 耕二朗, 大平 雅雄
  • Organizer: ソフトウェア・シンポジウム 2019 in 熊本
• [Presentation] 日本語非機能要件の自動分類における教師あり学習アルゴリズムの評価 (2019)
  • Author(s): 大東 誠弥, 福井 克法, 宮崎 智己, 大平 雅雄
  • Organizer: ソフトウェア・シンポジウム 2019 in 熊本
• [Presentation] Politeness 分析に基づくOSS 開発者の活動継続性の理解 (2018)
  • Author(s): 宮崎 智己, 伊原 彰紀, 大平 雅雄, 東 裕之輔, 山谷 陽亮
  • Organizer: 情報処理学会ソフトウェアエンジニアリングシンポジウム2018
• [Presentation] ソフトウェアリポジトリマイニングの研究動向とソフトウェア工学におけるAI技術の活用 (2018)
  • Author(s): 大平 雅雄
  • Organizer: 日本SPIコンソーシアム (JASPIC) プロセス改善への機械学習応用分科会
  • Invited
• [Presentation] 非機能要件の詳細な自動分類手法の構築に向けて: セキュリティ要件の分類 (2018)
  • Author(s): 宮崎 智己, 大平 雅雄
  • Organizer: 情報処理学会ソフトウェアエンジニアリングシンポジウム2018
• [Presentation] ソフトウェアテストにおけるSilent Horrorsの分析へ向けて (2018)
  • Author(s): 吉富 楓雅, 宮崎 智己, 柏 祐太郎, 大平 雅雄
  • Organizer: 情報処理学会ソフトウェアエンジニアリングシンポジウム2018
• [Presentation] トピックモデリングに基づく開発者検索手法の構築へ向けて (2018)
  • Author(s): 福井 克法, 大平 雅雄, 川辺 義勝
  • Organizer: ソフトウェア技術者協会ソフトウェア・シンポジウム2018 in 札幌
• [Presentation] 開発者の活動量の経時的変化がコミッター候補者予測に与える影響の分析 (2018)
  • Author(s): 山崎 大輝, 大平 雅雄, 伊原 彰紀, 柏 祐太郎, 宮崎 智己
  • Organizer: 電子情報通信学会ソフトウェアサイエンス研究会
• [Book] ソフトウェア工学の基礎XXVI (2019)
  • Author(s): 森崎 修司, 大平 雅雄
  • Total Pages: 216
  • Publisher: 近代科学社
  • ISBN: 9784764906051