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The Economics of Open Source Software Development
Open Source Software (OSS) development appears to present a stark contrast to traditional production and innovation methods and an unlikely contestant in the marketplace.Some of the most striking features are that OSS development is based on contributions of volunteer programmers, that these programmers only associated with each other through informal communities, that the resulting software products are made available for free, and that this unconventional development method is able to produce software of high complexity and extraordinary quality.Obviously, the emergence of software has fundamentally changed the software business.The simple facts that production is carried out by voluntary private programmers and that the marketable outcomes are supplied to consumers for free, have resulted in far-reaching effects on market structures, business models, and innovation processes in the software industry.While incumbents had to adapt their strategies to this newly emerging competition, OSS-based firms had to develop viable business models enabling them to generate profits.These fundamental changes in the software industry have subsequently attracted the interest of analysts, business people and research in economics and management science.This book fills a substantial gap in this field. It serves as an invaluable reference for all those interested in OSS, and provides information that is broad in scope.
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Research Software Engineering : A Guide to the Open Source Ecosystem
Research Software Engineering: A Guide to the Open Source Ecosystem strives to give a big-picture overview and an understanding of the opportunities of programming as an approach to analytics and statistics.The book argues that a solid "programming" skill level is not only well within reach for many but also worth pursuing for researchers and business analysts.The ability to write a program leverages field-specific expertise and fosters interdisciplinary collaboration as source code continues to become an important communication channel.Given the pace of the development in data science, many senior researchers and mentors, alongside non-computer science curricula lack a basic software engineering component.This book fills the gap by providing a dedicated programming-with-data resource to both academic scholars and practitioners. Key Featuresoverview: breakdown of complex data science software stacks into core componentsapplied: source code of figures, tables and examples available and reproducible solely with license cost-free, open source softwarereader guidance: different entry points and rich references to deepen the understanding of selected aspects
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A Concise Introduction to Software Engineering : With Open Source and GenAI
Software engineering has changed: A software project today is likely to use large language models (LLMs) for some tasks and will employ some open-source software.It is therefore important to integrate open source and use of LLMs in teaching software engineering – a key goal of this textbook. This reader-friendly textbook/reference introduces a carefully curated set of concepts and practices essential for key tasks in software projects.It begins with a chapter covering industry-standard software, open-source tools, and the basics of prompt engineering for LLMs. The second chapter delves into project management, including development process models, planning, and team-working.Subsequent chapters focus on requirements analysis and specification, architecture design, software design, coding, testing, and application deployment. Each chapter presents concepts, practical methods, examples, the application of LLMs, and the role of open-source software.A companion website provides some comprehensive case studies, as well as teaching material including presentation slides. This textbook is ideal for an introductory course on software engineering where the objective is to develop knowledge and skills to execute a project—specifically in a team employing contemporary software engineering practices and using open source and LLMs. It is also suitable for professionals who want to be introduced to the systematic approach of software engineering and/or use of open source and LLMs. The author is a distinguished professor at IIIT-Delhi and a well-known academic in software engineering.He has served as vice president in Infosys Technologies Limited and as a visiting researcher at Microsoft Corporation. Reviews of the first edition:"This book's title provides an excellent description of its content. ... This compact volume is organized into eight well-focused chapters containing numerous examples and well-designed self-test exercises.Includes an excellent collection of references and a very useful index.Summing Up: Highly recommended. Upper-division undergraduate through professional readers; two-year technical program students." (J.Beidler, Choice, Vol. 46 (6))"Jalote's intention in this book is to present just enough material to teach beginning software engineers what they need to know to do a development project that carries a smallproduct from conception through delivery.The result is a short book ... making this sort of book very attractive as a text for introductory software engineering. ... topics are well chosen and their discussion is good." (Christopher Fox, ACM Computing Reviews)
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Human Factors in Engineering : Manufacturing Systems, Automation, and Interactions
This book addresses aspects of human factors in engineering and provides a detailed discussion of novel approaches, systems engineering tools, artificial cognitive systems, and intelligent technologies and automation.It presents applications in diverse areas, including digital manufacturing, transportation, infrastructure development, and cybersecurity. This book:• Merges the engineering perspective with the human factors and social dimension of computing and artificial intelligence–based technologies. • Covers technological development of human factors engineering and the human dimension in applications across all areas of modern society. • Relates to human behavior in the context of technology and systems interactions. • Discusses the design and the appropriation of 3D printing techniques in the management of an innovative product system. • Presents systems engineering tools, user experience methodologies, artificial cognitive systems, intelligent technologies, and automation. The text is for students, professionals, and researchers in the fields of ergonomics, human factors, industrial engineering, and manufacturing engineering.
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What is a backup power source in electrical engineering?
A backup power source in electrical engineering is a secondary power supply that is used to provide electricity in case the primary power source fails. This ensures that critical systems and equipment can continue to operate during power outages or emergencies. Backup power sources can include batteries, generators, or uninterruptible power supplies (UPS) to maintain power and prevent disruptions in electrical systems.
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What is the difference between source criticism, source analysis, and source interpretation?
Source criticism involves evaluating the reliability and credibility of a source, considering factors such as the author's bias, the source's purpose, and the context in which it was created. Source analysis involves examining the content and structure of a source to understand its main arguments, evidence, and underlying assumptions. Source interpretation goes a step further by interpreting the meaning and significance of the source within its historical, cultural, and social context, and considering how it contributes to our understanding of a particular topic or period. In summary, source criticism focuses on the source's reliability, source analysis focuses on its content and structure, and source interpretation focuses on its meaning and significance.
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How can AI be used to generate software source code?
AI can be used to generate software source code through techniques such as machine learning and natural language processing. By training AI models on large datasets of existing code, they can learn to generate new code based on patterns and structures found in the training data. Additionally, AI can be used to assist developers by providing code suggestions, automating repetitive tasks, and even writing entire functions or modules based on high-level requirements. This can help speed up the software development process and improve code quality. However, it's important to note that AI-generated code still requires human oversight and validation to ensure it meets the desired functionality and quality standards.
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Isn't a power source also a voltage source?
A power source and a voltage source are related but not the same. A power source is a device that provides electrical energy to a circuit, while a voltage source is a specific type of power source that maintains a constant voltage across its terminals. In other words, all voltage sources are power sources, but not all power sources are voltage sources. For example, a battery is a power source that can provide a constant voltage (making it a voltage source), but a generator is a power source that can provide varying voltages depending on the load (making it a non-constant voltage source).
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How Open Source Ate Software : Understand the Open Source Movement and So Much More
Learn how free software became open source and how you can sell open source software.This book provides a historical context of how open source has thoroughly transformed how we write software, how we cooperate, how we communicate, how we organize, and, ultimately, how we think about business values.This fully updated second edition includes an entire chapter on legal considerations such as trademarks and the latest happenings in open source licensing.It also expands on open hardware trends such as RISC-V, open governance, and the difference between community projects and commercial products, especially as seen through the lens of security. You’ll look at project and community examples including Linux, BSD, Apache, and Kubernetes, understand the open source development model, and how open source has influenced approaches more broadly, even within proprietary software, such as open betas.You'll also examine the flipside, the "Second Machine Age," and thechallenges of open source-based business models.Today, open source serves as shorthand for much broader trends and behaviors.It’s not just about a free (in all senses of the word) alternative to commercial software.It increasingly is the new commercial software. How Open Source Ate Software, second edition reveals how open source has much in common, and is often closely allied, with many other trends in business and society.You'll see how it enables projects that go beyond any individual company.That makes open source not just a story about software, but a story about almost everything. What You'll LearnThe opportunities that open source creates and the challenges that come with themThe ways in which companies can create business models to successfully sell "free" softwareHow the open source development model works from creating communities to selling commercial productsThe important issues associated with open source project and product governance and licensingHow open source principles can apply more broadly to DevOps and other organizational practicesWho This Book Is For Anyone who is contemplating building a community and a business around open source software.
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Latest 1MHZ-6GHZ Hackrf one R9 Open Source Hardware SDR Development Board with USB Antenna
Latest 1MHZ-6GHZ Hackrf one R9 Open Source Hardware SDR Development Board with USB Antenna
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Latest 1MHZ-6GHZ Hackrf one R9 Open Source Hardware SDR Development Board with USB Antenna
Latest 1MHZ-6GHZ Hackrf one R9 Open Source Hardware SDR Development Board with USB Antenna
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Latest 1MHZ-6GHZ Hackrf one R9 Open Source Hardware SDR Development Board with USB Antenna
Latest 1MHZ-6GHZ Hackrf one R9 Open Source Hardware SDR Development Board with USB Antenna
Price: 57.39 € | Shipping*: 0 €
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What good open-source software is available for green screen effects?
One good open-source software for green screen effects is Blender. It is a powerful 3D creation suite that includes a video editor with green screen capabilities. Another option is Natron, which is a node-based compositing software that can be used for green screen effects. Both of these software are free to use and have a range of features for creating professional-looking green screen effects.
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How do you cite a source within a source?
When citing a source within a source, you should use the phrase "as cited in" in your in-text citation. For example, if you are citing a quote from Smith's work that was also cited in Johnson's work, your in-text citation would look like this: (Smith, as cited in Johnson, year). In your reference list, you would only include the source that you actually read (in this case, Johnson's work).
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How do I cite a source within another source?
When you need to cite a source that you found quoted in another source, you should try to locate the original source and cite it directly. However, if you are unable to access the original source, you can use a format called "indirect source" or "secondary source" citation. In this case, you would cite the source you have actually read, followed by "as cited in" and then the source where you found the information. For example: (Smith, 2010, as cited in Jones, 2015). It's important to note that you should only use this method when you are unable to access the original source.
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What is the task of the substitute voltage source in electrical engineering?
The task of the substitute voltage source in electrical engineering is to simplify complex circuits for analysis. By replacing parts of a circuit with an equivalent voltage source, engineers can more easily calculate the behavior of the circuit. This simplification allows for easier troubleshooting, analysis, and design of electrical systems.
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