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Author: Andy Oram
Publisher: "O'Reilly Media, Inc."
ISBN: 9781449397760
Category : Computers
Languages : en
Pages : 624
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Book Description
Many claims are made about how certain tools, technologies, and practices improve software development. But which claims are verifiable, and which are merely wishful thinking? In this book, leading thinkers such as Steve McConnell, Barry Boehm, and Barbara Kitchenham offer essays that uncover the truth and unmask myths commonly held among the software development community. Their insights may surprise you. Are some programmers really ten times more productive than others? Does writing tests first help you develop better code faster? Can code metrics predict the number of bugs in a piece of software? Do design patterns actually make better software? What effect does personality have on pair programming? What matters more: how far apart people are geographically, or how far apart they are in the org chart? Contributors include: Jorge Aranda Tom Ball Victor R. Basili Andrew Begel Christian Bird Barry Boehm Marcelo Cataldo Steven Clarke Jason Cohen Robert DeLine Madeline Diep Hakan Erdogmus Michael Godfrey Mark Guzdial Jo E. Hannay Ahmed E. Hassan Israel Herraiz Kim Sebastian Herzig Cory Kapser Barbara Kitchenham Andrew Ko Lucas Layman Steve McConnell Tim Menzies Gail Murphy Nachi Nagappan Thomas J. Ostrand Dewayne Perry Marian Petre Lutz Prechelt Rahul Premraj Forrest Shull Beth Simon Diomidis Spinellis Neil Thomas Walter Tichy Burak Turhan Elaine J. Weyuker Michele A. Whitecraft Laurie Williams Wendy M. Williams Andreas Zeller Thomas Zimmermann
Author: Andy Oram
Publisher: "O'Reilly Media, Inc."
ISBN: 9781449397760
Category : Computers
Languages : en
Pages : 624
Get Book
Book Description
Many claims are made about how certain tools, technologies, and practices improve software development. But which claims are verifiable, and which are merely wishful thinking? In this book, leading thinkers such as Steve McConnell, Barry Boehm, and Barbara Kitchenham offer essays that uncover the truth and unmask myths commonly held among the software development community. Their insights may surprise you. Are some programmers really ten times more productive than others? Does writing tests first help you develop better code faster? Can code metrics predict the number of bugs in a piece of software? Do design patterns actually make better software? What effect does personality have on pair programming? What matters more: how far apart people are geographically, or how far apart they are in the org chart? Contributors include: Jorge Aranda Tom Ball Victor R. Basili Andrew Begel Christian Bird Barry Boehm Marcelo Cataldo Steven Clarke Jason Cohen Robert DeLine Madeline Diep Hakan Erdogmus Michael Godfrey Mark Guzdial Jo E. Hannay Ahmed E. Hassan Israel Herraiz Kim Sebastian Herzig Cory Kapser Barbara Kitchenham Andrew Ko Lucas Layman Steve McConnell Tim Menzies Gail Murphy Nachi Nagappan Thomas J. Ostrand Dewayne Perry Marian Petre Lutz Prechelt Rahul Premraj Forrest Shull Beth Simon Diomidis Spinellis Neil Thomas Walter Tichy Burak Turhan Elaine J. Weyuker Michele A. Whitecraft Laurie Williams Wendy M. Williams Andreas Zeller Thomas Zimmermann
Author: Donald J. Reifer
Publisher: Pearson Education
ISBN: 0768685087
Category : Computers
Languages : en
Pages : 364
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Book Description
"Just the understanding and insights you will pick up about how people encounter and cope with combinations of technical, social, political, and economic opportunities and challenges make the book a joy to read and worth much more than the price of it alone." --Barry Boehm, from the Foreword This practical handbook shows you how to build an effective business case when you need to justify--and persuade management to accept--software change or improvement. Based on real-world scenarios, the book covers the most common situations in which business case analyses are required and explains specific techniques that have proved successful in practice. Drawing on years of experience in winning the "battle of the budget," the author shows you how to use commonly accepted engineering economic arguments to make your numbers "sing" to management. The book provides examples of successful business cases; along the way, tables, tools, facts, figures, and metrics guide you through the entire analytic process. Writing in a concise and witty style, the author makes this valuable guidance accessible to every software engineer, manager, and IT professional. Highlights include: How and where business case analyses fit into the software and IT life cycle process Explanations of the most common tools for business case analysis, such as present-value, return-on-investment, break-even, and cost/benefit calculation Tying the business process to the software development life cycle Packaging the business case for management consumption Frameworks and guidelines for justifying IT productivity, quality, and delivery cycle improvement strategies Case studies for applying appropriate decision situations to software process improvement Strategic guidelines for various business case analyses With this book in hand, you will find the facts, examples, hard data, and case studies needed for preparing your own winning business cases in today's complex software environment.
Author: John Ousterhout
Publisher: Yaknyam Publishing
ISBN: 9781732102200
Category :
Languages : en
Pages :
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Book Description
Author: Chris Hanson
Publisher: MIT Press
ISBN: 0262362473
Category : Computers
Languages : en
Pages : 449
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Book Description
Strategies for building large systems that can be easily adapted for new situations with only minor programming modifications. Time pressures encourage programmers to write code that works well for a narrow purpose, with no room to grow. But the best systems are evolvable; they can be adapted for new situations by adding code, rather than changing the existing code. The authors describe techniques they have found effective--over their combined 100-plus years of programming experience--that will help programmers avoid programming themselves into corners. The authors explore ways to enhance flexibility by: Organizing systems using combinators to compose mix-and-match parts, ranging from small functions to whole arithmetics, with standardized interfaces Augmenting data with independent annotation layers, such as units of measurement or provenance Combining independent pieces of partial information using unification or propagation Separating control structure from problem domain with domain models, rule systems and pattern matching, propagation, and dependency-directed backtracking Extending the programming language, using dynamically extensible evaluators
Author: Elecia White
Publisher: "O'Reilly Media, Inc."
ISBN: 1449320589
Category : Computers
Languages : en
Pages : 329
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Book Description
Interested in developing embedded systems? Since they donâ??t tolerate inefficiency, these systems require a disciplined approach to programming. This easy-to-read guide helps you cultivate a host of good development practices, based on classic software design patterns and new patterns unique to embedded programming. Learn how to build system architecture for processors, not operating systems, and discover specific techniques for dealing with hardware difficulties and manufacturing requirements. Written by an expert whoâ??s created embedded systems ranging from urban surveillance and DNA scanners to childrenâ??s toys, this book is ideal for intermediate and experienced programmers, no matter what platform you use. Optimize your system to reduce cost and increase performance Develop an architecture that makes your software robust in resource-constrained environments Explore sensors, motors, and other I/O devices Do more with less: reduce RAM consumption, code space, processor cycles, and power consumption Learn how to update embedded code directly in the processor Discover how to implement complex mathematics on small processors Understand what interviewers look for when you apply for an embedded systems job "Making Embedded Systems is the book for a C programmer who wants to enter the fun (and lucrative) world of embedded systems. Itâ??s very well writtenâ??entertaining, evenâ??and filled with clear illustrations." â??Jack Ganssle, author and embedded system expert.
Author: Adam Tornhill
Publisher: Pragmatic Bookshelf
ISBN: 1680505807
Category : Computers
Languages : en
Pages : 362
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Book Description
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.
Author: Eric Evans
Publisher: Addison-Wesley Professional
ISBN: 0321125215
Category : Computers
Languages : en
Pages : 563
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Book Description
"Domain-Driven Design" incorporates numerous examples in Java-case studies taken from actual projects that illustrate the application of domain-driven design to real-world software development.
Author: Sam Lightstone
Publisher: Pearson Education India
ISBN: 9788131761731
Category :
Languages : en
Pages : 460
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Book Description
Author: William C. Hetzel
Publisher: QED Information Sciences
ISBN:
Category : Computers
Languages : en
Pages : 314
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Book Description
A practical text for software practitioners and managers or, alternatively, for industrial and college courses in software measurement and metrics. Hetzel explains what to measure, how to measure it, and why. He also explains why good management and good engineering are inseparable from good measurement. Discussion questions and suggested exercises are included at the end of each chapter. Inaugurates a new QED series on the increasingly critical areas of how to evaluate and measure modern software systems. Annotation copyright by Book News, Inc., Portland, OR
Author: Chaehan So
Publisher: Peter Lang
ISBN: 9783631603376
Category : Agile software development
Languages : en
Pages : 216
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Book Description
How does good teamwork emerge? Can we control mechanisms of teamwork? The author has analyzed these questions in a study involving 227 participants of 55 software development teams. First, he empirically confirmed his teamwork model based on innovation research, goal setting and control theory. Second, he measured the impact of a wide selection of agile practices on these teamwork mechanisms. Third, he explained these impacts based on a thorough review of current psychological research. This book is intended for people working in agile contexts as they will gain insight into the complexity of how «good teamwork» emerges. This insight on team dynamics may also prove valuable for upper management for calibrating agile practices and «soft factors», thus increasing the effectiveness of software teams.
