Technical Debt in Practice: How to Find It and Fix It by Neil Ernst: New

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Book Title
Technical Debt in Practice: How to Find It and Fix It
Publication Date
2021-08-17
Pages
288
ISBN
9780262542111
Category

About this product

Product Identifiers

Publisher
MIT Press
ISBN-10
0262542110
ISBN-13
9780262542111
eBay Product ID (ePID)
18050032235

Product Key Features

Number of Pages
288 Pages
Language
English
Publication Name
Technical Debt in Practice : How to Find It and Fix It
Subject
Reference, Computer Science, General, Software Development & Engineering / Systems Analysis & Design
Publication Year
2021
Type
Textbook
Author
Julien Delange, Neil Ernst, Rick Kazman
Subject Area
Mathematics, Computers, Technology & Engineering
Format
Trade Paperback

Dimensions

Item Height
0.8 in
Item Weight
17 Oz
Item Length
9 in
Item Width
6 in

Additional Product Features

Intended Audience
Trade
LCCN
2020-041281
Dewey Edition
23
Dewey Decimal
005.3028/7
Table Of Content
1 Introduction 2 The Importance of Technical Debt 3 Requirements Debt 4 Design and Architecture Debt Case Study A: Brightsquid 5 Implementation Debt 6 Testing Debt Case Study B: Twitter 7 Deployment Debt 8 Documentation Debt Case Study C: Scientific Software 9 Technical Debt in Machine Learning Systems 10 Team Management and Social Debt 11 Making the Business Case 12 Conclusions Appendix--Full Text of Interviews Interview: Marco Bartollini Interview: Julien Danjou Interview: Nicolas Devillard Interview: Vadim Mikhnevych Interview: Andriy Shapochka Index
Synopsis
The practical implications of technical debt for the entire software lifecycle; with examples and case studies. Technical debt in software is incurred when developers take shortcuts and make ill-advised technical decisions in the initial phases of a project, only to be confronted with the need for costly and labor-intensive workarounds later. This book offers advice on how to avoid technical debt, how to locate its sources, and how to remove it. It focuses on the practical implications of technical debt for the entire software life cycle, with examples and case studies from companies that range from Boeing to Twitter. Technical debt is normal; it is part of most iterative development processes. But if debt is ignored, over time it may become unmanageably complex, requiring developers to spend all of their effort fixing bugs, with no time to add new features--and after all, new features are what customers really value. The authors explain how to monitor technical debt, how to measure it, and how and when to pay it down. Broadening the conventional definition of technical debt, they cover requirements debt, implementation debt, testing debt, architecture debt, documentation debt, deployment debt, and social debt. They intersperse technical discussions with "Voice of the Practitioner" sidebars that detail real-world experiences with a variety of technical debt issues.
LC Classification Number
QA76.76.Q35E76 2021

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