Development[ edit ] By the early s, Charles M. Schulz's comic strip Peanuts had become a sensation worldwide.
Using Email to Submit a Patch This chapter helps you understand the Yocto Project as an open source development project. In general, working in an open source environment is very different from working in a closed, proprietary environment.
Additionally, the Yocto Project uses specific tools and constructs as part of its development environment. This chapter specifically addresses open source philosophy, using the Yocto Project in a team environment, source repositories, Yocto Project terms, licensing, the open source distributed version control system Git, workflows, bug tracking, and how to submit changes.
Contrast this to the more standard centralized development models used by commercial software companies where a finite set of developers produces a product for sale using a defined set of procedures that ultimately result in an end product whose architecture and source material are closed to the public.
Open source projects conceptually have differing concurrent agendas, approaches, and production.
These facets of the development process can come from anyone in the public community that has a stake in the software project. The open source environment contains new copyright, licensing, domain, and consumer issues that differ from the more traditional development environment.
In an open source environment, the end product, source material, and documentation are all available to the public at no cost. A benchmark example of an open source project is the Linux kernel, which was initially conceived and created by Finnish computer science student Linus Torvalds in Wikipedia has a good historical description of the Open Source Philosophy here.
You can also find helpful information on how to participate in the Linux Community here. One of the strengths of the Yocto Project is that it is extremely flexible.
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Thus, you can adapt it to many different use cases and scenarios. However, these characteristics can cause a struggle if you are trying to create a working setup that scales across a large team.
To help with these types of situations, this section presents some of the project's most successful experiences, practices, solutions, and available technologies that work well. Keep in mind, the information here is a starting point. You can build off it and customize it to fit any particular working environment and set of practices.
Regardless of the type of developer, their workstations must be both reasonably powerful and run Linux. Use a pre-built toolchain that contains the software stack itself. Then, develop the application code on top of the stack. This method works well for small numbers of relatively isolated applications.
Keep your cross-development toolchains updated. You can do this through provisioning either as new toolchain downloads or as updates through a package update mechanism using opkg to provide updates to an existing toolchain. The exact mechanics of how and when to do this are a question for local policy.
Use multiple toolchains installed locally into different locations to allow development across versions. You should keep the core system unchanged as much as possible and do your work in layers on top of the core system.
Doing so gives you a greater level of portability when upgrading to new versions of the core system or Board Support Packages BSPs. You can share layers amongst the developers of a particular project and contain the policy configuration that defines the project.
Aside from the previous best practices, there exists a number of tips and tricks that can help speed up core development projects: Use a Shared State Cache sstate among groups of developers who are on a fast network.
The first user to build a given component for the first time contributes that object to the sstate, while subsequent builds from other developers then reuse the object rather than rebuild it themselves.
Have autobuilders contribute to the sstate pool similarly to how the developer workstations contribute.
For information, see the " Autobuilders " section. Build stand-alone tarballs that contain "missing" system requirements if for some reason developer workstations do not meet minimum system requirements such as latest Python versions, chrpath, or other tools.
You can install and relocate the tarball exactly as you would the usual cross-development toolchain so that all developers can meet minimum version requirements on most distributions. Use a small number of shared, high performance systems for testing purposes e.
Developers can use these systems for wider, more extensive testing while they continue to develop locally using their primary development system. Enable the PR Service when package feeds need to be incremental with continually increasing PR values.
Typically, this situation occurs when you use or publish package feeds and use a shared state. You should enable the PR Service for all users who use the shared state pool. Git is a distributed system that is easy to backup, allows you to work remotely, and then connects back to the infrastructure.
It is relatively easy to set up Git services and create infrastructure like http:Why Edward Snowden loves open source Infamous government hacker Edward Snowden believes open source is fundamentally better than proprietary technology, which he believes disempowers users.
For more discussion on open source and the role of the CIO in the enterprise, join us at The timberdesignmag.com. The opinions expressed on this website are those of each author, not of the author's employer or of Red Hat.
Project Linus, Belton, Missouri. 29K likes. The best kind of sleep under heaven above, is under a blanket handmade with love.5/5().
Peanuts is a comic strip drawn by Charles M. Schulz from until It was also developed into several TV animated specials and four animated theatrical features. The strip's most recognizable icons are born-loser Charlie Brown and his anthropomorphic dog Snoopy, who always sleeps on top of his dog house instead of inside it.
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