Books

ウクライナ難民を支援 - 2022年5月末まで延長！ この本の売り上げの50％は、 https://unicef.hu/veszhelyzet-ukrajnaban と https://int.depaulcharity.org/fundraising-for-depaul-ukraine/ に寄付されます。 本書籍は、振る舞い駆動開発(Behavior Driven Development, BDD)や受け入れテスト駆動開発(Acceptance Test-Driven Development, ATDD)の発見フェーズを最大限に活用する方法を提供します。

No One is Coming to Save You is your no-fluff guide to thriving in chaos. Forget trends and templates—this book delivers the essential human skills (“Power-Ups”) you need to survive and grow in an uncertain world. Straight talk, real stories, and practical tools from two people who’ve failed forward so you don’t have to.

Major capital projects keep missing the mark—over budget, behind schedule and under-delivering. Why? Because we’re still using delivery models designed for a different era. Rethinking Capital Project Delivery offers a bold, practical roadmap for fixing what’s broken. It introduces a new approach built on adaptive planning, intelligent systems and transparent governance. Instead of managing complexity with more layers, it shows how agentic AI and modular strategies can simplify, accelerate, and de-risk major works. This book is for executives, project leaders, and policymakers ready to move beyond outdated practices. If you know the system isn’t working—and you want to be part of the solution—this is your guide.

Do you have trouble estimating your project's cost or schedule? Are you curious about how to explain to your management that estimates are guesses? Would you like to improve your estimates? Learn how to generate a gross estimate for your project in a way management can hear. Learn why we estimate, how to explain where you project is, when to iterate on your estimate, and how to troubleshoot your estimation problems.

The definitive guide on Lean-Agile forecasting that gives you all the tools you need in order to answer your customers' most important question.

アジャイルなチーム、アジャイルな人たちのための見える化実例集

First there was Agile, then there was Continuous Delivery, and now there is Continuous Digital: the Agile Alternative to Projects - aka #NoProjects, Beyond Projects. Because every business is now a digital business and while projects end ask yourself: do you want your business to end?

Gerald Weinberg's new work will be good reading not only for designers but for anyone wanting to understand design, particularly the users and managers of information systems. . . . life lessons such as those in this book will continue to be the most useful guide there is, both for introducing prospective practitioners and for reminding the old hands of what they may occasionally forget. —International Journal of General Systems

The six-phase method for delivering AI projects, from the first business question to production monitoring. One chapter per phase, each closing on its deliverables and decision gate, with a single case study running the full length of the book. 82 diagrams, 78 tables, 15 reusable templates, and a certification track for readers preparing PMI-CPMAI.

A pathway to a new philosophy of work, management & leadership, and a call to action for anyone faced with Intractable Problems & Elusive Opportunities. For current, aspiring, formal, and informal leaders. This book presents new principles, attitudes and behaviours along with examples from organisations and concrete practices. Perfectly suited for this digital, hyperconnected world and the ongoing Artificial Intelligence revolution.

Quality in every sprint, not a phase at the end. Sprint planning, the definition of done, three amigos, and metrics that fit two-week cycles.

Make quality visible. Jira and TestRail workflows, 50+ ready JQL queries, dashboards executives actually read, and traceability that holds up.

Most companies are stuck in "pilot purgatory"—endless AI experiments that never scale. Teams spend weeks sharing clever prompts and one-off scripts, but nothing makes it into production. Budgets evaporate, engineers' enthusiasm curdles into cynicism, and executives start asking "we spent how much on this?" The problem isn't the AI tools—it's the approach. AI models are inherently non-deterministic (ask the same question twice, get different answers), while software engineering demands deterministic, reliable results. Without structure to bridge this gap, AI adoption fails spectacularly. This book introduces PIT™ (Plan Implement Test), a proven methodology that transforms unpredictable AI outputs into reliable engineering workflows. Built from thousands of hours of real development work, PIT™ channels AI's capabilities through structured planning, phased implementation, and comprehensive testing—delivering the consistency that production code demands.