本章では、調査時に参照した公開情報、公式ドキュメント、事例、研究資料を一覧化する。社内資料化する際は、必要に応じて各リンクの閲覧日、要約、社内適用観点を追記するとよい。
16.0 参考文献の読み方・ファクトチェック
本資料では、公開情報を提案仮説の裏付けとして扱う。数値、Stars、Installs、リポジトリ構成、ベンダー事例は変化するため、提案時点の確認日を残し、導入判断時に再確認する。
| 区分 | 使い方 | 確認観点 | 更新リスク |
|---|---|---|---|
| 一次情報・公式資料 | 制度、機能、調査結果の根拠 | 公開日、版、調査対象、定義 | 中 |
| ベンダー事例 | 導入効果の参考 | 対象規模、前提条件、宣伝要素 | 中 |
| 研究・調査レポート | 傾向や仮説の補強 | 調査期間、母集団、相関と因果の区別 | 中 |
| GitHub / コミュニティ | スキル候補探索 | 最終更新、ライセンス、実装内容、Issue状況 | 高 |
16.1 参考文献一覧
- DORA 2025 report
https://dora.dev/dora-report-2025/ - Google Blog: DORA Report 2025 overview
https://blog.google/innovation-and-ai/technology/developers-tools/dora-report-2025/ - Google Cloud Blog: 2024 DORA report
https://cloud.google.com/blog/products/devops-sre/announcing-the-2024-dora-report - DORA AI-assisted software development report 2025
https://cloud.google.com/resources/content/2025-dora-ai-assisted-software-development-report - GitHub Customer Story: Mercedes-Benz
https://github.com/customer-stories/mercedes-benz - GitHub Customer Story: Duolingo
https://github.com/customer-stories/duolingo - GitHub Blog: Accenture Copilot enterprise research
https://github.blog/news-insights/research/research-quantifying-github-copilots-impact-in-the-enterprise-with-accenture/ - NEC Solution Innovators: 生成AIを活用したソフトウェア開発検証
https://www.nec-solutioninnovators.co.jp/company/blog/2024/24/index.html - NEC Technical Journal: 生成AIを活用したソフトウェア開発の取り組み
https://jpn.nec.com/techrep/journal/g23/n02/230209.html - Diffblue Cover case study
https://www.diffblue.com/case-studies/transforming-sdlc-with-ai-diffblue-covers-impact-on-unit-test-automation/ - arXiv: AI-Assisted Unit Test Generation and Safe Refactoring
https://arxiv.org/abs/2604.03135 - Fujitsu Research: テスト仕様書生成
https://blog.fltech.dev/entry/2025/10/29/testspecgen-ja - Meta Engineering: Sapienz intelligent automated software testing at scale
https://engineering.fb.com/2018/05/02/developer-tools/sapienz-intelligent-automated-software-testing-at-scale/ - arXiv: Rich test users / Sapienz extension
https://arxiv.org/html/2403.15374v1 - arXiv: GenIA-E2ETest
https://arxiv.org/abs/2510.01024 - GitHub Changelog: Copilot code review generally available
https://github.blog/changelog/2025-04-04-copilot-code-review-now-generally-available/ - GitHub Docs: Using Copilot code review
https://docs.github.com/copilot/using-github-copilot/code-review/using-copilot-code-review - PR Times: NEC AIコードレビューサービス Metabob
https://prtimes.jp/main/html/rd/p/000001214.000078149.html - arXiv: Copilot code review security evaluation
https://arxiv.org/abs/2509.13650 - GitHub Docs: Responsible use of security and quality AI features
https://docs.github.com/en/code-security/responsible-use/security-and-quality-ai-features - GitHub Blog: Secure code faster with Copilot Autofix
https://github.blog/news-insights/product-news/secure-code-more-than-three-times-faster-with-copilot-autofix/ - arXiv: Security issues in AI-generated code
https://arxiv.org/abs/2510.26103 - arXiv: Evaluating Epic quality with LLMs
https://arxiv.org/abs/2505.07664 - arXiv: Generating functional specifications with LLMs
https://arxiv.org/abs/2505.18019 - AWS Blog: Generative AI for proactive SCP-compliant IaC generation
https://aws.amazon.com/blogs/infrastructure-and-automation/using-generative-ai-for-proactive-iac-code-generation-thats-compliant-with-service-control-policies-using-amazon-bedrock/ - Microsoft TechCommunity: Introducing Azure SRE Agent
https://techcommunity.microsoft.com/blog/azurepaasblog/introducing-azure-sre-agent/4414569 - Azure Blog: Agentic DevOps with GitHub Copilot and Azure
https://azure.microsoft.com/en-us/blog/agentic-devops-evolving-software-development-with-github-copilot-and-microsoft-azure/ - HashiCorp Sentinel
https://www.hashicorp.com/en/sentinel - Checkov GitHub repository
https://github.com/bridgecrewio/checkov - Prisma Cloud Infrastructure as Code Security
https://www.paloaltonetworks.com/prisma/cloud/infrastructure-as-code-security - arXiv: IaC security study
https://arxiv.org/abs/2308.03952 - arXiv: AidAI for incident diagnosis
https://arxiv.org/abs/2506.01481 - arXiv: AIOps agent risks
https://arxiv.org/abs/2508.06394 - arXiv: AI coding assistants risks
https://arxiv.org/abs/2604.08352 - Agent Skills 標準（agentskills.io）
https://agentskills.io - skills.sh — スキルディレクトリ・リーダーボード
https://skills.sh - Cursor Docs: Agent Skills
https://cursor.com/docs/skills - GitHub: obra/superpowers
https://github.com/obra/superpowers - GitHub: anthropics/skills
https://github.com/anthropics/skills - GitHub: addyosmani/agent-skills
https://github.com/addyosmani/agent-skills - GitHub: vercel-labs/skills（skills CLI）
https://github.com/vercel-labs/skills - GitHub: supabase/agent-skills
https://github.com/supabase/agent-skills - GitHub: microsoft/azure-skills
https://github.com/microsoft/azure-skills - GitHub: terramate-io/agent-skills
https://github.com/terramate-io/agent-skills - GitHub: luthersystems/insideout-agent-skills
https://github.com/luthersystems/insideout-agent-skills - モチベーションクラウド（公式）
https://www.motivation-cloud.com/ - GitHub: anthropics/skills — pptx, doc-coauthoring
https://github.com/anthropics/skills - VoltAgent/awesome-agent-skills
https://github.com/VoltAgent/awesome-agent-skills - phuryn/pm-skills — summarize-meeting
https://github.com/phuryn/pm-skills - coreyhaines31/marketingskills — copywriting
https://github.com/coreyhaines31/marketingskills - AIsmiley: 音声AIコールセンター変革ガイド（2026）
https://aismiley.co.jp/ai_news/voice-ai-call-center-dx-guide/ - セゾンPSP: コールセンターAI活用
https://corporate.saison-psp.co.jp/hrd/blog/callcenter/c_23/
