[{"data":1,"prerenderedAt":917},["ShallowReactive",2],{"/ja-jp/blog/3-surprising-findings-from-our-2024-global-devsecops-survey":3,"navigation-ja-jp":134,"banner-ja-jp":564,"footer-ja-jp":572,"blog-post-authors-ja-jp-Dave Steer":813,"blog-related-posts-ja-jp-3-surprising-findings-from-our-2024-global-devsecops-survey":828,"next-steps-ja-jp":855,"blog-promotions-ja-jp":864},{"id":4,"title":5,"authors":6,"body":8,"category":110,"date":111,"description":112,"extension":113,"externalUrl":114,"faq":114,"featured":115,"heroImage":116,"meta":117,"navigation":118,"path":119,"seo":120,"slug":124,"stem":125,"tags":126,"template":132,"updatedDate":114,"__hash__":133},"blogPosts/ja-jp/blog/3-surprising-findings-from-our-2024-global-devsecops-survey.md","2024年グローバルDevSecOps調査で明らかになった、3つの注目すべき結果",[7],"Dave Steer",{"type":9,"value":10,"toc":102},"minimark",[11,21,26,29,32,35,38,41,45,48,63,66,69,72,76,85,88,91,94],[12,13,14,20],"p",{},[15,16,19],"a",{"href":17,"rel":18},"https://about.gitlab.com/resources/developer-survey/",[],"世界各地のDevSecOpsの専門家5,000名を対象に行われた今年の調査","は、組織がAIなどの新しい技術を導入する中、投資の優先分野を見直していること、またデベロッパーエクスペリエンスを向上させる方法をより入念に検討していることが示唆される結果となりました。この記事では、今年の調査で明らかになったさらに驚くべき3つの結果を紹介し、それらが2024年以降、ソフトウェアの開発、オペレーション、セキュリティを担当するチームにとって何を意味するのかを見ていきます。",[22,23,25],"h2",{"id":24},"_1-aiにより煩雑なツールチェーンの欠点が浮き彫りに","1. AIにより煩雑なツールチェーンの欠点が浮き彫りに",[12,27,28],{},"今年の調査では、AIが既存のツールチェーンに対するDevSecOpsチームの意識にどのような影響を与える可能性があるかについて、特に注目しました。その結果、やや意外な事実が判明しました。AIによりソフトウェア開発を簡素化できることはご存知のとおりですが、調査の結果、現在AIを使用している回答者は、AIを使用していない回答者よりもツールチェーンに不満を感じている可能性があることが判明しました。",[12,30,31],{},"現在AIをソフトウェア開発に使用している組織の回答者の4分の3近く（74%）が、またAIを使用していない組織の回答者の57%がツールチェーンを統合したいと回答しています。ただし、2つのグループ間で回答者が使用していると報告したツールの数に大きな差はありませんでした。つまり、現在AIを使用している回答者は、より多くのツールを使用しているわけではないものの、ツールチェーンを統合する必要性を強く感じていました。",[12,33,34],{},"AIの使用が統合への欲求を加速させるのは一体なぜでしょうか？1つ考えられる理由として、さまざまなポイントソリューションで異なるAIモデルが実行されたために、ソフトウェア開発ライフサイクルにおいて手に負えない（かつ測定不能な）無秩序の状態が生じ、組織の煩雑で非生産的な既存のツールチェーンの欠点が浮き彫りになったことが挙げられます。組織がAIへの投資を増やすにつれ、乱立するツールチェーンの統合・簡素化することで効率性を向上させる必要性が高まります。ツールチェーンの規模が小さいほどチームがAIから得られる価値は大きくなり、ソフトウェア開発ライフサイクル全体でAIの統合が容易になります。",[12,36,37],{},"今年のソフトウェア開発における最大の課題は、「（AIツールを含む）ツールの数とコンテキストスイッチ（頭の切り替え）が多すぎる」ことだと答えた回答者がいる一方、別の回答者は「全社的にさまざまなツールが断片化されていて複雑な状況」 であることだと述べています。",[12,39,40],{},"さらに、別の回答者は次のように述べ、AIによってツールチェーンの課題を解決できる可能性を強調しました。「AIは急成長しており、AIを統合することによって既存のツールチェーンは大幅に改善できます。チームメンバーをさらにトレーニングし、日々の業務で効果的にAIを活用する方法を学んでもらう必要があります」",[22,42,44],{"id":43},"_2-aiによりデベロッパーのオンボーディング時間は短縮されるものの依然として懸念を抱く組織","2. 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Stephens氏は、これらの調査結果について次のような見解を述べています。「AIをどのように感じるかには、心理的安全性とチームの文化といった要素が影響を及ぼします。人々はセキュリティやAIによるプライバシーへの影響を心配している可能性がある一方、準備できていないという意識は、AIにより自分の生業に個人的なリスクが生じるという考えが根底にあるのかもしれません」",[12,70,71],{},"GitLabでは、AIの価値は、繰り返しの作業を自動化し、外からは見えない部分を最適化することで、チームメンバーが高度な問題解決、イノベーション、価値創造に集中できるようになることだと考えています。AIは、ソフトウェア開発における人的要素を置き換えるわけでなく、補完するものです。ある回答者は、このことを次のように簡潔に言い表しました。「私たちは、AIに頼りながら創造力を育み維持していくという課題に直面しています。あくまでAIは、クリエイティブな人たちが生産性の妨げとなる不要なものを排除するために使用するツールの1つであることを忘れてはなりません。人間の創造力に取って代わるものではないのです」",[22,73,75],{"id":74},"_3-クラウドはあって当たり前の存在に","3. 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