The biggest secret of the startup industry is that bad marketing is the #1 cause of startup failure. This secret exists for two reasons; one, marketers are adept at shifting blame to the product, the market, the user, the management, etc., and two, many of the great startup marketing minds are holding their cards close. In Full-Scale, startup growth consultant and entrepreneur Anthony W. Richardson reveals the exact framework that he has built over the course of his career that enables him grow any startup client, of any industry without as much as a marketing plan or a yearly budget. Some say as many as 90% of startups fail, yet 83% of Anthony W. Richardson's clients are either still in business or have already been acquired. Richardson begins with a bold scientific premise: What if we could say with literal certainty that we are spending our money, time and resources on the marketing tasks that will have the greatest impact? What if we build a formula that measures these things directly against the causes of startup failure? What if the growth marketer is not only responsible for scaling a startup but also any items that would prevent growth? Growing a startup isn't difficult when you start with a great framework. The methodology found in Full-Scale goes even further, beyond growth marketing, and demonstrates how the principles found within this book will also indicate when and how to make other big decisions like: feature development, hiring and firing, pivoting, fund raising getting acquired and more. Suddenly, growth drives the entire operation and the startup is moving at Full-Scale, from the top down, without tips or tricks. Full-Scale presents a new, proven way to grow startups as well as a comparative look at the pitfalls of existing marketing methodologies and why a consultant needed something stronger than simply startup marketing, growth hacking, full-stack or even traditional methods. What if you could actually make that claim using scientific principles and back it up with data? What if you could say words like "best", "fastest", and "most efficient" and mean them literally? The Full-Scale method does just that. After adopting the principles outlined in this book you will be able to say it and mean it. Praise for Full-Scale: "Absolutely worth the investment. Full-Scale has my highest recommendation" - David B. "A must read for any business owner or marketing professional." - Amir S. "[Anthony] is a genius. his methodology combats the resource drain that occurs in startups-as entrepreneurs struggle to make the best decisions with limited resources." - Nathan C. "This is now my go-to recommendation when anyone asks me about startup marketing. Anthony proves that he's got enough skin in the game to know what it's really about. Can't recommend this enough." - Ryan G.

GSP 227 contains 51 papers on the use of full-scale testing to enhance the design of foundations presented in honor of Bengt H. Fellenius.

Today, even the largest development organizations are turning to agile methodologies, seeking major productivity and quality improvements. However, large-scale agile development is difficult, and publicly available case studies have been scarce. Now, three agile pioneers at Hewlett-Packard present a candid, start-to-finish insider’s look at how they’ve succeeded with agile in one of the company’s most mission-critical software environments: firmware for HP LaserJet printers. This book tells the story of an extraordinary experiment and journey. Could agile principles be applied to re-architect an enormous legacy code base? Could agile enable both timely delivery and ongoing innovation? Could it really be applied to 400+ developers distributed across four states, three continents, and four business units? Could it go beyond delivering incremental gains, to meet the stretch goal of 10x developer productivity improvements? It could, and it did—but getting there was not easy. Writing for both managers and technologists, the authors candidly discuss both their successes and failures, presenting actionable lessons for other development organizations, as well as approaches that have proven themselves repeatedly in HP’s challenging environment. They not only illuminate the potential benefits of agile in large-scale development, they also systematically show how these benefits can actually be achieved. Coverage includes: • Tightly linking agile methods and enterprise architecture with business objectives • Focusing agile practices on your worst development pain points to get the most bang for your buck • Abandoning classic agile methods that don’t work at the largest scale • Employing agile methods to establish a new architecture • Using metrics as a “conversation starter” around agile process improvements • Leveraging continuous integration and quality systems to reduce costs, accelerate schedules, and automate the delivery pipeline • Taming the planning beast with “light-touch” agile planning and lightweight long-range forecasting • Implementing effective project management and ensuring accountability in large agile projects • Managing tradeoffs associated with key decisions about organizational structure • Overcoming U.S./India cultural differences that can complicate offshore development • Selecting tools to support quantum leaps in productivity in your organization • Using change management disciplines to support greater enterprise agility

State-of-the-Art Approaches to Advance the Large-Scale Green Computing Movement Edited by one of the founders and lead investigator of the Green500 list, The Green Computing Book: Tackling Energy Efficiency at Large Scale explores seminal research in large-scale green computing. It begins with low-level, hardware-based approaches and then traverses up the software stack with increasingly higher-level, software-based approaches. In the first chapter, the IBM Blue Gene team illustrates how to improve the energy efficiency of a supercomputer by an order of magnitude without any system performance loss in parallelizable applications. The next few chapters explain how to enhance the energy efficiency of a large-scale computing system via compiler-directed energy optimizations, an adaptive run-time system, and a general prediction performance framework. The book then explores the interactions between energy management and reliability and describes storage system organization that maximizes energy efficiency and reliability. It also addresses the need for coordinated power control across different layers and covers demand response policies in computing centers. The final chapter assesses the impact of servers on data center costs.

The Go-To Resource for Large-Scale Organizations to Be Agile Rather than asking, “How can we do agile at scale in our big complex organization?” a different and deeper question is, “How can we have the same simple structure that Scrum offers for the organization, and be agile at scale rather than do agile?” This profound insight is at the heart of LeSS (Large-Scale Scrum). In Large-Scale Scrum: More with LeSS, Craig Larman and Bas Vodde have distilled over a decade of experience in large-scale LeSS adoptions towards a simpler organization that delivers more flexibility with less complexity, more value with less waste, and more purpose with less prescription. Targeted to anyone involved in large-scale development, Large-Scale Scrum: More with LeSS, offers straight-to-the-point guides for how to be agile at scale, with LeSS. It will clearly guide you to Adopt LeSS Structure a large development organization for customer value Clarify the role of management and Scrum Master Define what your product is, and why Be a great Product Owner Work with multiple whole-product focused feature teams in one Sprint that produces a shippable product Coordinate and integrate between teams Work with multi-site teams

Software -- Programming Languages.

Winner of the 2017 AERA Division D Significant Contribution to Educational Measurement and Research Methodology Award! Technological and statistical advances, along with a strong interest in gathering more information about the state of our educational systems, have made it possible to assess more students, in more countries, more often, and in more subject domains. The Handbook of International Large-Scale Assessment: Background, Technical Issues, and Methods of Data Analysis brings together recognized scholars in the field of ILSA, behavioral statistics, and policy to develop a detailed guide that goes beyond database user manuals. After highlighting the importance of ILSA data to policy and research, the book reviews methodological aspects and features of the studies based on operational considerations, analytics, and reporting. The book then describes methods of interest to advanced graduate students, researchers, and policy analysts who have a good grounding in quantitative methods, but who are not necessarily quantitative methodologists. In addition, it provides a detailed exposition of the technical details behind these assessments, including the test design, the sampling framework, and estimation methods, with a focus on how these issues impact analysis choices.