[{"data":1,"prerenderedAt":706},["ShallowReactive",2],{"/ja-jp/blog/use-gitlab-duo-workflow-to-improve-application-quality-assurance/":3,"navigation-ja-jp":39,"banner-ja-jp":455,"footer-ja-jp":468,"Cesar Saavedra":678,"next-steps-ja-jp":691},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"seo":8,"content":16,"config":29,"_id":32,"_type":33,"title":34,"_source":35,"_file":36,"_stem":37,"_extension":38},"/ja-jp/blog/use-gitlab-duo-workflow-to-improve-application-quality-assurance","blog",false,"",{"title":9,"description":10,"ogTitle":9,"ogDescription":10,"noIndex":6,"ogImage":11,"ogUrl":12,"ogSiteName":13,"ogType":14,"canonicalUrls":12,"schema":15},"GitLab Duo Workflowを使用してアプリケーションの品質保証を強化","自律型AIを使用してJavaアプリケーションに単体テストを追加する方法をステップ別にご説明します。動画チュートリアルもご覧いただけます。","https://res.cloudinary.com/about-gitlab-com/image/upload/v1750097617/Blog/Hero%20Images/Blog/Hero%20Images/Workflow%201800x945_2gQoQIbY9NvjLFpXtsxtXy_1750097616649.png","https://about.gitlab.com/blog/use-gitlab-duo-workflow-to-improve-application-quality-assurance","https://about.gitlab.com","article","\n                        {\n        \"@context\": \"https://schema.org\",\n        \"@type\": \"Article\",\n        \"headline\": \"GitLab Duo Workflowを使用してアプリケーションの品質保証を強化\",\n        \"author\": [{\"@type\":\"Person\",\"name\":\"Cesar Saavedra\"}],\n        \"datePublished\": \"2025-04-10\",\n      }",{"title":9,"description":17,"authors":18,"heroImage":11,"date":20,"body":21,"category":22,"tags":23},"自律型AIを使用してJavaアプリケーションに単体テストを追加する方法をステップ別にご説明します。動画チュートリアル（英語版）もご覧いただけます。",[19],"Cesar Saavedra","2025-04-10","テスト駆動設計、十分なコードカバレッジの確保、問題検出を通じてアプリケーションの品質を保証することは、顧客の信頼や組織の評判にとって非常に重要ですが、同時にそれは時間のかかる作業でもあります。最も包括的なDevSecOpsプラットフォーム上に構築された自律型AIである[GitLab\nDuo\nWorkflow](https://about.gitlab.com/ja-jp/gitlab-duo/agent-platform/)は、Javaアプリケーションに単体テストを追加するなどの開発作業を迅速に完了するよう支援します。このチュートリアルでは、こちらのサンプルの[Javaプロジェクト](https://gitlab.com/gitlab-da/playground/csaavedra/gdw/prodmgr-gdw)を使用しながら手順をご説明します。\n\n\n> GitLab Duo\nWorkflowは現在プライベートベータ版です。[ウェイトリスト](https://about.gitlab.com/ja-jp/gitlab-duo/agent-platform/)に登録して、ソフトウェアデリバリーライフサイクル（SDLC）全体のプロセスを理解するAIエージェントを活用すると何が実現できるのかをご確認ください。\n\n\n## プロジェクトをVS Codeで開く\n\n\n1. お使いのローカルマシンにクローンしたJavaプロジェクトをVisual Studio\nCodeで開きます。作業を始める前に、メインブランチやデフォルトブランチではなく、フィーチャーブランチにいることを確認してください。すでにマージリクエストの作業中であれば、対応するフィーチャーブランチが存在しているはずです。\n\n\n2.（このステップは任意です）。GitLab Duo\nWorkflowに単体テストを作成させたいJavaクラスを定義したファイルに移動します。そのファイルの内容を確認しておくことで、生成された単体テストがクラスのメンバーを正常にカバーしているかを後から確認できます。表示される内容は以下のとおりです。\n\n\n![GitLab Duo\nWorkflowに単体テストを作成させたいJavaクラスを定義するファイル](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750097627/Blog/Content%20Images/Blog/Content%20Images/image2_aHR0cHM6_1750097627482.png)\n\n\n**注意**：このチュートリアルは、VS CodeでGitLab Duo\nWorkflow拡張機能が有効になっていることを前提としています。そうでない場合は、[セットアップドキュメント](https://docs.gitlab.com/user/duo_workflow/#use-workflow-in-vs-code)を参照して有効化してください。\n\n\n3. VS Codeコマンドパレット[Ctrl + Shift + P]を開き、「GitLab Duo Workflow」と入力して、**GitLab:\nShow Duo Workflow**を選択して、GitLab Duo Workflowを起動します。次のようなタブが表示されます。\n\n\n![VS CodeでGitLab\nDuoワークフローを起動](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750097628/Blog/Content%20Images/Blog/Content%20Images/image1_aHR0cHM6_1750097627483.png)\n\n\n4.\n次に、デフォルトコンストラクター、オブジェクト作成の検証、およびProductクラスのプロパティの初期状態のテストを追加します。これを実行するには、GitLab\nDuo Workflowのテキストエリアに以下のプロンプトを入力します。\n\n\n```unset\n\nCreate unit tests for class defined in the Product.java file and store the\nunit tests in its own file titled ProductTest.java\n\n```\n\n\n![GitLab Duo\nWorkflowのプロンプトエリア](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750097628/Blog/Content%20Images/Blog/Content%20Images/image4_aHR0cHM6_1750097627484.png)\n\n\n5. GitLab Duo Workflowウィンドウの\n[**Start**（開始）]ボタンをクリックします。2つの新しいウィンドウが、画面中央と右側にそれぞれ表示されます。右側のウィンドウには、プロンプトで指定した目標を達成するために、GitLab\nDuo\nWorkflowが実行している分析内容が表示されます。中央のウィンドウには、作成された計画が表示されます。分析と計画の生成が終了すると、次のような出力が表示されるはずです。\n\n\n![GitLab Duo\nWorkflowによって生成された分析と計画](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750097627/Blog/Content%20Images/Blog/Content%20Images/image8_aHR0cHM6_1750097627486.png)\n\n\n6. 分析と計画を確認し、問題がなければ、ウィンドウの下部にある[**Approve plan**（計画を承認）]をクリックします。\n\n\n7. GitLab Duo Workflowは、承認された計画の実行を開始し、それに応じてプロジェクトに変更を加えます。\n\n\n8.\n計画の実行が終了すると、プロジェクトに新しいディレクトリ`src/test/java/csaa/jspring/ProductManager`が表示され、`ProductTest.java`という名前の新しいファイルが表示されます。このファイルには、`Product.java`クラスに対するすべての単体テストが含まれています。\n\n\n![新しいファイル名`ProductTest.java`のプロジェクト内の新しいディレクトリ](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750097628/Blog/Content%20Images/Blog/Content%20Images/image7_aHR0cHM6_1750097627488.png)\n\n\n9.\n新しく作成されたファイル`ProductTest.java`に移動すると、いくつかのインポートステートメントが赤い下線で強調されており、インポートエラーが発生していることがわかります。\n\n\n![`ProductTest.java`には、インポートステートメントとエラーインジケータが赤で表示されます](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750097628/Blog/Content%20Images/Blog/Content%20Images/image3_aHR0cHM6_1750097627489.png)\n\n\nGitLab Duo Workflowを使用して、これらのエラーを修正してみましょう。\n\n\n**注意**：最初のプロンプトでGitLab Duo\nWorkflowに`pom.xml`ファイルを適宜更新するように依頼することもできます。今回はそうしなかったので、新しいワークフローでこれらのエラーを修正しましょう。\n\n\n## GitLab Duo Workflowを起動して、生成されたコードのエラーを修正する\n\n\n10. 画面右側の分析ウィンドウの下部にある[**New workflow**（新規ワークフロー）]\nボタンをクリックして、新しいワークフローを開始します。\n\n\n![新規ワークフローボタン](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750097628/Blog/Content%20Images/Blog/Content%20Images/image6_aHR0cHM6_1750097627491.png)\n\n\n11. プロンプトテキストエリアに次のように入力します。\n\n\n```unset\n\nThe file ProductTest.java has an error “The import org.junit cannot be\nresolved”. Please fix it\n\n```\n\n\n12. 提案された計画を承認すると、GitLab Duo\nWorkflowは現在の`pom.xml`ファイルを読み取って分析を開始します。また、その後、古いJUnitの依存関係を削除し、正しい依存関係とバージョンを追加します。最後に、`ProductTest.java`ファイルを読み込み、依存性エラーをすべてクリアします。\n\n\n![GitLab Duo\nWorkflowは、pom.xmlを読み取って分析を実行します](https://res.cloudinary.com/about-gitlab-com/image/upload/v1750097627/Blog/Content%20Images/Blog/Content%20Images/image5_aHR0cHM6_1750097627492.png)\n\n\n## チュートリアルを見る\n\n\nこの計画の実行を通じて、GitLab Duo\nWorkflowはプロンプトでリクエストされた内容を達成するために、プロジェクトを効果的に更新しています。これにより、時間と労力が節約され、生産性も向上するため、デベロッパーは組織のイノベーションと価値創造により多くの時間を費やせるようになります。\n\n\n上記の動作を確認したい場合は、次の動画をご覧ください。（英語版のみ視聴可能）\n\n\n\u003C!-- blank line -->\n\n\u003Cfigure class=\"video_container\">\n  \u003Ciframe src=\"https://www.youtube.com/embed/Tuj7TgqY81Q?si=RReuL1pUsLafvAzs\" frameborder=\"0\" allowfullscreen=\"true\"> \u003C/iframe>\n\u003C/figure>\n\n\u003C!-- blank line -->\n\n\n[GitLab Duo\nWorkflowプライベートベータ版のウェイトリスト](https://about.gitlab.com/ja-jp/gitlab-duo/agent-platform/)にサインアップして、SDLC全体のプロセスを理解するAIエージェントを活用すると何が実現できるのかをご確認ください。\n\n\n## GitLab Duo Workflowと自律型AIの関連記事\n\n\n- [GitLab Duo\nWorkflow：自律型AIに対するエンタープライズレベルの可視性と管理](https://about.gitlab.com/ja-jp/blog/gitlab-duo-workflow-enterprise-visibility-and-control-for-agentic-ai/)\n\n- [GitLab Duo Workflowドキュメント](https://docs.gitlab.com/user/duo_workflow/)\n\n- [GitLab Duo](https://about.gitlab.com/ja-jp/gitlab-duo/)\n\n- [自律型AI：デベロッパーの可能性を解き放つ（The\nSource）](https://about.gitlab.com/the-source/ai/agentic-ai-unlocking-developer-potential-at-scale/)\n","ai-ml",[24,25,26,27,28],"AI/ML","DevSecOps platform","tutorial","product","features",{"slug":30,"featured":6,"template":31},"use-gitlab-duo-workflow-to-improve-application-quality-assurance","BlogPost","content:ja-jp:blog:use-gitlab-duo-workflow-to-improve-application-quality-assurance.yml","yaml","Use Gitlab Duo Workflow To Improve Application Quality 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