Dsdm 64 Success Secrets - 64 Most Asked Questions on Dsdm - What You Need to Know - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Dsdm 64 Success Secrets - 64 Most Asked Questions on Dsdm - What You Need to Know write by Harry Livingston. This book was released on 2014-03-21. Dsdm 64 Success Secrets - 64 Most Asked Questions on Dsdm - What You Need to Know available in PDF, EPUB and Kindle. Dynamic setups creation method' ('DSDM') is an Agile managementagile program conveyance model, firstly applied like a code creation methodologysoftware creation approach. First disseminated within 1994, DSDM initially pursued to supply a few subject to the quick program creation (RAD) approach. In 2007 DSDM grew to be a general style to program administration and resolution conveyance. DSDM is an repetitive and increasing developmentiterative and increasing style that hugs truths of Agile creation, containing unceasing user/customer participation. There has never been a DSDM Guide like this. It contains 64 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about DSDM. A quick look inside of some of the subjects covered: DSDM, Dynamic systems development method - Overview: three phases of DSDM V4.2, Time boxing - Adoption in software development, Dynamic systems development method - Process-data model, Dynamic systems development method - Core Techniques of DSDM, Outline of software engineering - Life cycle phases, Joint application design, Conceptual model - Joint Application Development, ICONIX - Related Concepts, Dell M1000e - Blade storage, Lean IT - Agile, Scrum and Lean Software development, Dynamic systems development method - Stage 1B: The Business Study, SSADM - Overview, List of software engineering topics - Life cycle phases, Agile software development Predecessors, Systems development - Approaches, Agile software development Software development life cycle, Dynamic systems development method - Prerequisites for using DSDM, Dynamic systems development method - Stage 3: System Design and Build Iteration, and much more...
Software Projects Secrets
Software Projects Secrets - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Software Projects Secrets write by George Stepanek. This book was released on 2012-11-29. Software Projects Secrets available in PDF, EPUB and Kindle. Software Project Secrets: Why Software Projects Fail offers a new path to success in the software industry. This book reaches out to managers, developers, and customers who use industry-standard methodologies, but whose projects still struggle to succeed. Author George Stepanek analyzes the project management methodology itself, a critical factor that has thus far been overlooked. He explains why it creates problems for software development projects and begins by describing 12 ways in which software projects are different from other kinds of projects. He also analyzes the project management body of knowledge to discover 10 hidden assumptions that are invalid in the context of software projects.
Agile Estimating and Planning
Agile Estimating and Planning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Agile Estimating and Planning write by Mike Cohn. This book was released on 2005-11-01. Agile Estimating and Planning available in PDF, EPUB and Kindle. Agile Estimating and Planning is the definitive, practical guide to estimating and planning agile projects. In this book, Agile Alliance cofounder Mike Cohn discusses the philosophy of agile estimating and planning and shows you exactly how to get the job done, with real-world examples and case studies. Concepts are clearly illustrated and readers are guided, step by step, toward how to answer the following questions: What will we build? How big will it be? When must it be done? How much can I really complete by then? You will first learn what makes a good plan-and then what makes it agile. Using the techniques in Agile Estimating and Planning, you can stay agile from start to finish, saving time, conserving resources, and accomplishing more. Highlights include: Why conventional prescriptive planning fails and why agile planning works How to estimate feature size using story points and ideal days–and when to use each How and when to re-estimate How to prioritize features using both financial and nonfinancial approaches How to split large features into smaller, more manageable ones How to plan iterations and predict your team's initial rate of progress How to schedule projects that have unusually high uncertainty or schedule-related risk How to estimate projects that will be worked on by multiple teams Agile Estimating and Planning supports any agile, semiagile, or iterative process, including Scrum, XP, Feature-Driven Development, Crystal, Adaptive Software Development, DSDM, Unified Process, and many more. It will be an indispensable resource for every development manager, team leader, and team member.
Agile Project Management for Government
Agile Project Management for Government - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Agile Project Management for Government write by Brian Wernham. This book was released on 2012. Agile Project Management for Government available in PDF, EPUB and Kindle. Governments on both sides of the Atlantic have committed to introducing agile change management for faster results with cheaper implementation at lower risk. The first hands-on guide is designed to help public sector leaders reap the rewards of agile methods, based on the latest national and international research.
The Data Science Design Manual
The Data Science Design Manual - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Data Science Design Manual write by Steven S. Skiena. This book was released on 2017-07-01. The Data Science Design Manual available in PDF, EPUB and Kindle. This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)
