Build Better Software by Replacing Assumptions with Evidence.
Software teams are surrounded by frameworks, tools, methodologies, productivity claims, and technical opinions. But the strongest engineering decisions are not based on trends or whoever speaks the loudest—they are based on measurable evidence, rapid feedback, disciplined experimentation, and a clear understanding of trade-offs.
The Evidence-Driven Software Engineer: Practical Systems for Quality, Speed, and Continuous Delivery is a practical guide for developers, technical leads, engineering managers, architects, students, and growing software teams who want to improve how software is designed, tested, delivered, operated, and continuously improved.
Rather than prescribing one “best” methodology, this book teaches you how to evaluate engineering practices in your own environment and determine what actually works.
Inside, you will learn how to:
Make better technical and architectural decisions using evidence instead of assumptions
Measure delivery performance without falling into vanity metrics or developer surveillance
Improve software quality, maintainability, reliability, security, and changeability
Design testing strategies that provide faster and more useful feedback
Build effective continuous integration and continuous delivery systems
Reduce deployment risk through progressive delivery and reliable recovery practices
Use observability, SLOs, error budgets, and incident evidence to strengthen production reliability
Integrate security throughout the software-development lifecycle
Evaluate AI-assisted development without blindly trusting productivity claims or generated code
Build engineering teams that support experimentation, learning, psychological safety, and accountability
Identify bottlenecks and improve the entire software-delivery system
Create practical 30-, 60-, and 90-day engineering improvement plans
The book also includes practical diagrams, decision frameworks, case-study scenarios, checklists, review questions, engineering metrics guidance, Architecture Decision Record templates, experiment-planning tools, incident-review resources, and an Evidence-Driven Engineering Toolkit designed for real-world application.
Every major practice is examined through four essential questions:
What does it mean?
Why does it matter?
How should it be applied?
How can you tell whether it is actually working?
Whether you are improving an established engineering organisation, modernising a legacy system, building a growing software product, leading a technical team, or preparing for professional software-development work, this book provides a structured framework for turning engineering decisions into measurable learning.
Stop copying practices simply because successful companies use them.
Start building an engineering system that can prove what works in your context.
The Evidence-Driven Software Engineer is a practical roadmap for creating software systems—and engineering teams—that can deliver quality, speed, reliability, and continuous improvement with greater confidence.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. Build Better Software by Replacing Assumptions with Evidence.Software teams are surrounded by frameworks, tools, methodologies, productivity claims, and technical opinions. But the strongest engineering decisions are not based on trends or whoever speaks the loudest-they are based on measurable evidence, rapid feedback, disciplined experimentation, and a clear understanding of trade-offs.The Evidence-Driven Software Engineer: Practical Systems for Quality, Speed, and Continuous Delivery is a practical guide for developers, technical leads, engineering managers, architects, students, and growing software teams who want to improve how software is designed, tested, delivered, operated, and continuously improved.Rather than prescribing one "best" methodology, this book teaches you how to evaluate engineering practices in your own environment and determine what actually works.Inside, you will learn how to: Make better technical and architectural decisions using evidence instead of assumptionsMeasure delivery performance without falling into vanity metrics or developer surveillanceImprove software quality, maintainability, reliability, security, and changeabilityDesign testing strategies that provide faster and more useful feedbackBuild effective continuous integration and continuous delivery systemsReduce deployment risk through progressive delivery and reliable recovery practicesUse observability, SLOs, error budgets, and incident evidence to strengthen production reliabilityIntegrate security throughout the software-development lifecycleEvaluate AI-assisted development without blindly trusting productivity claims or generated codeBuild engineering teams that support experimentation, learning, psychological safety, and accountabilityIdentify bottlenecks and improve the entire software-delivery systemCreate practical 30-, 60-, and 90-day engineering improvement plansThe book also includes practical diagrams, decision frameworks, case-study scenarios, checklists, review questions, engineering metrics guidance, Architecture Decision Record templates, experiment-planning tools, incident-review resources, and an Evidence-Driven Engineering Toolkit designed for real-world application.Every major practice is examined through four essential questions: What does it mean?Why does it matter?How should it be applied?How can you tell whether it is actually working?Whether you are improving an established engineering organisation, modernising a legacy system, building a growing software product, leading a technical team, or preparing for professional software-development work, this book provides a structured framework for turning engineering decisions into measurable learning.Stop copying practices simply because successful companies use them.Start building an engineering system that can prove what works in your context.The Evidence-Driven Software Engineer is a practical roadmap for creating software systems-and engineering teams-that can deliver quality, speed, reliability, and continuous improvement with greater confidence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798170222131
Quantité disponible : 1 disponible(s)
Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. Print on Demand. N° de réf. du vendeur I-9798170222131
Quantité disponible : Plus de 20 disponibles
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798170222131
Quantité disponible : Plus de 20 disponibles
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798170222131
Quantité disponible : Plus de 20 disponibles
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. Build Better Software by Replacing Assumptions with Evidence.Software teams are surrounded by frameworks, tools, methodologies, productivity claims, and technical opinions. But the strongest engineering decisions are not based on trends or whoever speaks the loudest-they are based on measurable evidence, rapid feedback, disciplined experimentation, and a clear understanding of trade-offs.The Evidence-Driven Software Engineer: Practical Systems for Quality, Speed, and Continuous Delivery is a practical guide for developers, technical leads, engineering managers, architects, students, and growing software teams who want to improve how software is designed, tested, delivered, operated, and continuously improved.Rather than prescribing one "best" methodology, this book teaches you how to evaluate engineering practices in your own environment and determine what actually works.Inside, you will learn how to: Make better technical and architectural decisions using evidence instead of assumptionsMeasure delivery performance without falling into vanity metrics or developer surveillanceImprove software quality, maintainability, reliability, security, and changeabilityDesign testing strategies that provide faster and more useful feedbackBuild effective continuous integration and continuous delivery systemsReduce deployment risk through progressive delivery and reliable recovery practicesUse observability, SLOs, error budgets, and incident evidence to strengthen production reliabilityIntegrate security throughout the software-development lifecycleEvaluate AI-assisted development without blindly trusting productivity claims or generated codeBuild engineering teams that support experimentation, learning, psychological safety, and accountabilityIdentify bottlenecks and improve the entire software-delivery systemCreate practical 30-, 60-, and 90-day engineering improvement plansThe book also includes practical diagrams, decision frameworks, case-study scenarios, checklists, review questions, engineering metrics guidance, Architecture Decision Record templates, experiment-planning tools, incident-review resources, and an Evidence-Driven Engineering Toolkit designed for real-world application.Every major practice is examined through four essential questions: What does it mean?Why does it matter?How should it be applied?How can you tell whether it is actually working?Whether you are improving an established engineering organisation, modernising a legacy system, building a growing software product, leading a technical team, or preparing for professional software-development work, this book provides a structured framework for turning engineering decisions into measurable learning.Stop copying practices simply because successful companies use them.Start building an engineering system that can prove what works in your context.The Evidence-Driven Software Engineer is a practical roadmap for creating software systems-and engineering teams-that can deliver quality, speed, reliability, and continuous improvement with greater confidence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798170222131
Quantité disponible : 1 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. Neuware. N° de réf. du vendeur 9798170222131
Quantité disponible : 2 disponible(s)