Hyper-Agile Testing: Delivering Software in an Ai-Accelerated World
暫譯: 超敏捷測試：在 AI 加速的世界中交付軟體

Tkachenko, Evgeny

Hyper-Agile Testing: Delivering Software in an Ai-Accelerated World
  • 出版商: Apress
  • 出版日期: 2026-10-01
  • 售價: $2,280
  • 貴賓價: 9.5 折 $2,166
  • 語言: 英文
  • 頁數: 252
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868832307
  • ISBN-13: 9798868832307
  • 相關分類: 軟體測試、CI/CD、Agile Software

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Software delivery is accelerating. Release confidence is not. Artificial intelligence can generate requirements, code, tests, and documentation in minutes, but faster output does not automatically make software safer to release. This book presents a practical operating model for building confidence as quickly as teams create change by connecting product intent, risk, validation, automation, release readiness, and production learning.

As you move through the chapters you will follow the Hyper-Agile Quality Loop from idea to production. You will learn how to turn requirements into test expectations, adjust validation depth to risk, and choose automation by value rather than test count. Additionally you will also gain expertise in keeping continuous integration and continuous delivery signals trustworthy, and using artificial intelligence to support requirements review, impact analysis, defect triage, and release decisions. The chapters are supported by practical examples, diagrams, checklists, and personal stories that will show you how these ideas work under real delivery pressure.

This book will guide you in applying the model across delivery stages and risk levels--from prototypes and internal pilots to early adopter and general availability releases, including high-risk or regulated work. You will see how Product, Development, Quality Engineering, Support, and Operations each contribute to quality. It will also help you to understand how production feedback improves the next delivery cycle and how Quality Engineering can move beyond late-stage testing toward quality decision support.

By the end of the book, you will have a practical framework for creating safer software and increasing release confidence. Applying it will help you learn faster, make clearer release decisions, and reduce the risk pushed downstream.

What You Will Learn

  • Apply the Hyper-Agile Quality Loop from product intent through production learning
  • Match validation depth to risk, release stage, and customer impact
  • Build trustworthy automation and CI/CD signals that support release decisions
  • Use AI responsibly for requirements review, test design and automation, impact analysis, and defect triage

Who This Book Is For

Quality engineers, QA leads, engineering managers, product managers, and technology leaders working in fast-moving delivery environments.

商品描述(中文翻譯)

軟體交付正在加速，但發布信心並未同步提升。人工智慧（AI）可以在幾分鐘內產生需求、程式碼、測試與文件，但更快的產出並不會自動讓軟體更安全地發布。本書提出一套實用的運作模式，透過串聯產品意圖、風險、驗證、自動化、發布就緒度與正式環境學習，讓團隊建立信心的速度跟上變更產生的速度。

在閱讀各章的過程中，您將跟隨 Hyper-Agile Quality Loop，從構想一路走到正式環境。您將學會如何把需求轉化為測試預期、依據風險調整驗證深度，以及根據價值而非測試數量來選擇自動化方式。此外，您也將深入了解如何維持持續整合（CI）與持續交付（CD）訊號的可信度，並運用人工智慧支援需求審查、影響分析、缺陷分類與發布決策。各章搭配實務範例、圖表、檢查清單與親身故事，展示這些理念如何在真實的交付壓力下運作。

本書將引導您在不同交付階段與風險層級中應用這套模式，涵蓋從原型與內部試行，到早期採用者版本及全面上市版本的發布，也包括高風險或受法規規範的工作。您將了解產品、開發、品質工程、支援與營運團隊如何各自為品質做出貢獻。本書也將協助您理解正式環境的回饋如何改善下一個交付週期，以及品質工程如何超越後期測試，進一步轉型為品質決策支援。

讀完本書後，您將具備一套實用架構，用於打造更安全的軟體並提升發布信心。應用這套架構，將協助您更快學習、更清楚地做出發布決策，並降低被推遲到下游的風險。

您將學到什麼

• 從產品意圖一路到正式環境學習，應用 Hyper-Agile Quality Loop
• 依據風險、發布階段與客戶影響範圍，調整驗證深度
• 建立可信賴的自動化與 CI/CD 訊號，支援發布決策
• 負責任地運用 AI 進行需求審查、測試設計與自動化、影響分析及缺陷分類

本書適合哪些讀者

在快速變動的交付環境中工作的品質工程師、QA 主管、工程經理、產品經理與技術領導者。

作者簡介

Evgeny Tkachenko is a software engineering and quality leader with over twenty years of experience working at the intersection of technology, quality, and business. He has worked in large product organizations such as Wayfair and Amazon, as well as in healthcare and startup environments. His experience includes Hyper-Agile and DevOps transformations, AI-assisted software delivery workflows, automation and release strategy, and helping organizations build quality practices that support faster, safer software delivery.
Evgeny is also an active speaker in the quality engineering and software testing communities. Through his presentations, he engages with quality engineers, engineering leaders, testers, and practitioners who face many of the same challenges addressed in this book: how to deliver faster without sacrificing quality.
He is the author of two additional books, Navigating Quality Engineering in the AI Era and Testing AI-Powered Applications: Ensuring Quality in the Age of Intelligent Software. Across his writing and speaking, Evgeny focuses on helping quality engineers and engineering leaders modernize their quality practices, use AI responsibly, improve release readiness, and bring quality earlier into the software delivery process instead of treating it as a final gate.
His work combines practical quality engineering experience with a broader view of how the discipline is changing. He continues to advocate for quality practices that help teams move faster, make better release decisions, and build software with greater confidence.

作者簡介(中文翻譯)

Evgeny Tkachenko 是一位軟體工程與品質領域的領導者，擁有超過二十年的經驗，長期致力於科技、品質與商業交會領域的工作。他曾任職於 Wayfair 和 Amazon 等大型產品組織，也曾在醫療保健與新創環境中工作。他的經驗涵蓋 Hyper-Agile 與 DevOps 轉型、AI 輔助的軟體交付流程、自動化與發布策略，以及協助組織建立支援更快速、更安全軟體交付的品質實務。

Evgeny 也是品質工程與軟體測試社群中的活躍講者。透過演講，他與品質工程師、工程領導者、測試人員及實務工作者交流；這些人員正面臨本書所探討的許多相同挑戰：如何在不犧牲品質的情況下加快交付速度。

他另外著有兩本書：Navigating Quality Engineering in the AI Era，以及 Testing AI-Powered Applications: Ensuring Quality in the Age of Intelligent Software。在著作與演講中，Evgeny 致力於協助品質工程師與工程領導者現代化品質實務、負責任地運用 AI、提升發布準備度，並將品質更早納入軟體交付流程，而不是將品質視為最後一道關卡。

他的工作結合了實務上的品質工程經驗，以及對這個專業領域變化的宏觀觀察。他持續倡議能協助團隊加快步調、做出更完善發布決策，並更有信心地打造軟體的品質實務。

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