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The term "technological fix" should mean a fix provided by technology--a solution for all of our problems, from medicine and food production to the environment and business. Instead, technological fix has come to mean a cheap, quick fix using inappropriate technology that usually creates more problems than it solves. This collection sets out the distinction between a technological fix and a true technological solution. Bringing together scholars from a variety of disciplines, the essays trace the technological fix as it has appeared throughout the twentieth century. Addressing such "fixes" as artificial hearts, industrial agriculture and climate engineering, these essays examine our need to turn to technology for solutions to all of our problems.
Nanotechnology! Genetic engineering! Miracle Drugs! We are promised that new technological developments will magically save us from the dire consequences of the 300-year fossil-fueled binge known as modern industrial civilization, without demanding any fundamental changes in our behavior. There is a pervasive belief that technological innovation will enable us to continue our current lifestyle indefinitely and will prevent social, economic and environmental collapse. Techno-Fix shows that negative unintended consequences of technology are inherently predictable and unavoidable, techno-optimism is completely unjustified, and modern technology, in the presence of continued economic growth, does not promote sustainability, but hastens collapse. The authors demonstrate that most technological solutions to social and technology-created problems are ineffective. They explore the reasons for the uncritical acceptance of new technologies, show who really controls the direction of technological change, and then advocate extensive reform. This comprehensive exposé is a powerful argument for why we can and should put the genie back in the bottle. An insightful and powerful critique, it is required reading for anyone who is concerned about blind techno-optimism and believes that the time has come to make science and technology more socially and environmentally responsible. For more information, please visit technofix.org .
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.
The award-winning author of The Net Delusion shows how the radical transparency we've become accustomed to online may threaten the spirit of real-life democracy
Are you working on a codebase where cost overruns, death marches, and heroic fights with legacy code monsters are the norm? Battle these adversaries with novel ways to identify and prioritize technical debt, based on behavioral data from how developers work with code. And that's just for starters. Because good code involves social design, as well as technical design, you can find surprising dependencies between people and code to resolve coordination bottlenecks among teams. Best of all, the techniques build on behavioral data that you already have: your version-control system. Join the fight for better code! Use statistics and data science to uncover both problematic code and the behavioral patterns of the developers who build your software. This combination gives you insights you can't get from the code alone. Use these insights to prioritize refactoring needs, measure their effect, find implicit dependencies between different modules, and automatically create knowledge maps of your system based on actual code contributions. In a radical, much-needed change from common practice, guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Discover a comprehensive set of practical analysis techniques based on version-control data, where each point is illustrated with a case study from a real-world codebase. Because the techniques are language neutral, you can apply them to your own code no matter what programming language you use. Guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Apply research findings from social psychology to software development, ensuring you get the tools you need to coach your organization towards better code. If you're an experienced programmer, software architect, or technical manager, you'll get a new perspective that will change how you work with code. What You Need: You don't have to install anything to follow along in the book. TThe case studies in the book use well-known open source projects hosted on GitHub. You'll use CodeScene, a free software analysis tool for open source projects, for the case studies. We also discuss alternative tooling options where they exist.
The term "technological fix" should mean a fix provided by technology--a solution for all of our problems, from medicine and food production to the environment and business. Instead, technological fix has come to mean a cheap, quick fix using inappropriate technology that usually creates more problems than it solves. This collection sets out the distinction between a technological fix and a true technological solution. Bringing together scholars from a variety of disciplines, the essays trace the technological fix as it has appeared throughout the twentieth century. Addressing such "fixes" as artificial hearts, industrial agriculture and climate engineering, these essays examine our need to turn to technology for solutions to all of our problems.
"We face the dual crises of peak oil and climate change. How will we meet future global energy demands? Goodall combines cutting-edge analysis and fascinating stories of the inventors, scientists, and entrepreneurs developing real-world technologies."--Back cover.
A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right. In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.