Best Practice Software Engineering
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Modern Software Engineering
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Author : David Farley
language : en
Publisher: Addison-Wesley Professional
Release Date : 2021-11-16
Modern Software Engineering written by David Farley and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-16 with Computers categories.
Improve Your Creativity, Effectiveness, and Ultimately, Your Code In Modern Software Engineering, continuous delivery pioneer David Farley helps software professionals think about their work more effectively, manage it more successfully, and genuinely improve the quality of their applications, their lives, and the lives of their colleagues. Writing for programmers, managers, and technical leads at all levels of experience, Farley illuminates durable principles at the heart of effective software development. He distills the discipline into two core exercises: learning and exploration and managing complexity. For each, he defines principles that can help you improve everything from your mindset to the quality of your code, and describes approaches proven to promote success. Farley's ideas and techniques cohere into a unified, scientific, and foundational approach to solving practical software development problems within realistic economic constraints. This general, durable, and pervasive approach to software engineering can help you solve problems you haven't encountered yet, using today's technologies and tomorrow's. It offers you deeper insight into what you do every day, helping you create better software, faster, with more pleasure and personal fulfillment. Clarify what you're trying to accomplish Choose your tools based on sensible criteria Organize work and systems to facilitate continuing incremental progress Evaluate your progress toward thriving systems, not just more "legacy code" Gain more value from experimentation and empiricism Stay in control as systems grow more complex Achieve rigor without too much rigidity Learn from history and experience Distinguish "good" new software development ideas from "bad" ones Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Software Assessments Benchmarks And Best Practices
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Author : Capers Jones
language : en
Publisher: Addison-Wesley Professional
Release Date : 2000
Software Assessments Benchmarks And Best Practices written by Capers Jones and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.
Teaching software professionals how to combine assessments (qualitative information) and benchmarking (quantitative information) this text aims to encourage better software analysis.
Best Practice Software Engineering
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Author :
language : en
Publisher:
Release Date : 2010
Best Practice Software Engineering written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Machine Learning Infrastructure And Best Practices For Software Engineers
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Author : Miroslaw Staron
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-01-31
Machine Learning Infrastructure And Best Practices For Software Engineers written by Miroslaw Staron and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-31 with Computers categories.
Efficiently transform your initial designs into big systems by learning the foundations of infrastructure, algorithms, and ethical considerations for modern software products Key Features Learn how to scale-up your machine learning software to a professional level Secure the quality of your machine learning pipeline at runtime Apply your knowledge to natural languages, programming languages, and images Book DescriptionAlthough creating a machine learning pipeline or developing a working prototype of a software system from that pipeline is easy and straightforward nowadays, the journey toward a professional software system is still extensive. This book will help you get to grips with various best practices and recipes that will help software engineers transform prototype pipelines into complete software products. The book begins by introducing the main concepts of professional software systems that leverage machine learning at their core. As you progress, you’ll explore the differences between traditional, non-ML software, and machine learning software. The initial best practices will guide you in determining the type of software you need for your product. Subsequently, you will delve into algorithms, covering their selection, development, and testing before exploring the intricacies of the infrastructure for machine learning systems by defining best practices for identifying the right data source and ensuring its quality. Towards the end, you’ll address the most challenging aspect of large-scale machine learning systems – ethics. By exploring and defining best practices for assessing ethical risks and strategies for mitigation, you will conclude the book where it all began – large-scale machine learning software.What you will learn Identify what the machine learning software best suits your needs Work with scalable machine learning pipelines Scale up pipelines from prototypes to fully fledged software Choose suitable data sources and processing methods for your product Differentiate raw data from complex processing, noting their advantages Track and mitigate important ethical risks in machine learning software Work with testing and validation for machine learning systems Who this book is for If you’re a machine learning engineer, this book will help you design more robust software, and understand which scaling-up challenges you need to address and why. Software engineers will benefit from best practices that will make your products robust, reliable, and innovative. Decision makers will also find lots of useful information in this book, including guidance on what to look for in a well-designed machine learning software product.
Software Engineering
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Author : Ravi Sethi
language : en
Publisher: Cambridge University Press
Release Date : 2022-12-31
Software Engineering written by Ravi Sethi and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-31 with Computers categories.
Designed for introductory courses with a significant team project, this textbook presents concepts with real-life case studies and examples.
Software Engineering Best Practices
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Author :
language : en
Publisher:
Release Date : 2010
Software Engineering Best Practices written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computer software categories.
Automated Defect Prevention
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Author : Dorota Huizinga
language : en
Publisher: John Wiley & Sons
Release Date : 2007-08-24
Automated Defect Prevention written by Dorota Huizinga and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-24 with Computers categories.
This book describes an approach to software management based on establishing an infrastructure that serves as the foundation for the project. This infrastructure defines people roles, necessary technology, and interactions between people and technology. This infrastructure automates repetitive tasks, organizes project activities, tracks project status, and seamlessly collects project data to provide measures necessary for decision making. Most importantly, this infrastructure sustains and facilitates the improvement of human-defined processes. The methodology described in the book, which is called Automated Defect Prevention (ADP) stands out from the current software landscape as a result of two unique features: its comprehensive approach to defect prevention, and its far-reaching emphasis on automation. ADP is a practical and thorough guide to implementing and managing software projects and processes. It is a set of best practices for software management through process improvement, which is achieved by the gradual automation of repetitive tasks supported and sustained by this flexible and adaptable infrastructure, an infrastructure that essentially forms a software production line. In defining the technology infrastructure, ADP describes necessary features rather than specific tools, thus remaining vendor neutral. Only a basic subset of features that are essential for building an effective infrastructure has been selected. Many existing commercial and non-commercial tools support these, as well as more advanced features. Appendix E contains such a list.
Best Practices In Software Measurement
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Author : Christof Ebert
language : en
Publisher: Springer Science & Business Media
Release Date : 2005
Best Practices In Software Measurement written by Christof Ebert and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Business & Economics categories.
Practical approach to software measurement Contains hands-on industry experiences
Building Software Teams
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Author : Joost Visser
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-12-12
Building Software Teams written by Joost Visser and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-12 with Computers categories.
Why does poor software quality continue to plague enterprises of all sizes in all industries? Part of the problem lies with the process, rather than individual developers. This practical guide provides ten best practices to help team leaders create an effective working environment through key adjustments to their process. As a follow-up to their popular book, Building Maintainable Software, consultants with the Software Improvement Group (SIG) offer critical lessons based on their assessment of development processes used by hundreds of software teams. Each practice includes examples of goalsetting to help you choose the right metrics for your team. Achieve development goals by determining meaningful metrics with the Goal-Question-Metric approach Translate those goals to a verifiable Definition of Done Manage code versions for consistent and predictable modification Control separate environments for each stage in the development pipeline Automate tests as much as possible and steer their guidelines and expectations Let the Continuous Integration server do much of the hard work for you Automate the process of pushing code through the pipeline Define development process standards to improve consistency and simplicity Manage dependencies on third party code to keep your software consistent and up to date Document only the most necessary and current knowledge
Software Design Decoded
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Author : Marian Petre
language : en
Publisher: MIT Press
Release Date : 2016-10-06
Software Design Decoded written by Marian Petre and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-06 with Computers categories.
An engaging, illustrated collection of insights revealing the practices and principles that expert software designers use to create great software. What makes an expert software designer? It is more than experience or innate ability. Expert software designers have specific habits, learned practices, and observed principles that they apply deliberately during their design work. This book offers sixty-six insights, distilled from years of studying experts at work, that capture what successful software designers actually do to create great software. The book presents these insights in a series of two-page illustrated spreads, with the principle and a short explanatory text on one page, and a drawing on the facing page. For example, “Experts generate alternatives” is illustrated by the same few balloons turned into a set of very different balloon animals. The text is engaging and accessible; the drawings are thought-provoking and often playful. Organized into such categories as “Experts reflect,” “Experts are not afraid,” and “Experts break the rules,” the insights range from “Experts prefer simple solutions” to “Experts see error as opportunity.” Readers learn that “Experts involve the user”; “Experts take inspiration from wherever they can”; “Experts design throughout the creation of software”; and “Experts draw the problem as much as they draw the solution.” One habit for an aspiring expert software designer to develop would be to read and reread this entertaining but essential little book. The insights described offer a guide for the novice or a reference for the veteran—in software design or any design profession. A companion web site provides an annotated bibliography that compiles key underpinning literature, the opportunity to suggest additional insights, and more.