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Open-source software development (OSSD) is the process by which open-source software, or similar software whose source code is publicly available, is developed by an open-source software project. These are software products available with its source code under an open-source license to study, change, and improve its design. Examples of some popular open-source software products are Mozilla Firefox, Google Chromium, Android, LibreOffice and the VLC media player.

History

In 1997, Eric S. Raymond wrote The Cathedral and the Bazaar. In this book, Raymond makes the distinction between two kinds of software development. The first is the conventional closed-source development. This kind of development method is, according to Raymond, like the building of a cathedral; central planning, tight organization and one process from start to finish. The second is the progressive open-source development, which is more like "a great babbling bazaar of differing agendas and approaches out of which a coherent and stable system could seemingly emerge only by a succession of miracles." The latter analogy points to the discussion involved in an open-source development process.

Differences between the two styles of development, according to Bar and Fogel, are in general the handling (and creation) of bug reports and feature requests, and the constraints under which the programmers are working. In closed-source software development, the programmers are often spending a lot of time dealing with and creating bug reports, as well as handling feature requests. This time is spent on creating and prioritizing further development plans. This leads to part of the development team spending a lot of time on these issues, and not on the actual development. Also, in closed-source projects, the development teams must often work under management-related constraints (such as deadlines, budgets, etc.) that interfere with technical issues of the software. In open-source software development, these issues are solved by integrating the users of the software in the development process, or even letting these users build the system themselves.

Model

Not to be confused with Open-source model.

Process-Data Model for open-source software development

Open-source software development can be divided into several phases. The phases specified here are derived from Sharma et al. A diagram displaying the process-data structure of open-source software development is shown on the right. In this picture, the phases of open-source software development are displayed, along with the corresponding data elements. This diagram is made using the meta-modeling and meta-process modeling techniques.

Starting an open-source project

There are several ways in which work on an open-source project can start:

1. An individual who senses the need for a project announces the intent to develop a project in public.
2. A developer working on a limited but working codebase, releases it to the public as the first version of an open-source program.
3. The source code of a mature project is released to the public.
4. A well-established open-source project can be forked by an interested outside party.

Eric Raymond observed in his essay The Cathedral and the Bazaar that announcing the intent for a project is usually inferior to releasing a working project to the public.

It's a common mistake to start a project when contributing to an existing similar project would be more effective (NIH syndrome). To start a successful project it is very important to investigate what's already there. The process starts with a choice between the adopting of an existing project, or the starting of a new project. If a new project is started, the process goes to the Initiation phase. If an existing project is adopted, the process goes directly to the Execution phase.

Types of open-source projects

See also: List of free and open-source software packages

Several types of open-source projects exist. First, there is the garden variety of software programs and libraries, which consist of standalone pieces of code. Some might even be dependent on other open-source projects. These projects serve a specified purpose and fill a definite need. Examples of this type of project include the Linux kernel, the Firefox web browser and the LibreOffice office suite of tools.

Distributions are another type of open-source project. Distributions are collections of software that are published from the same source with a common purpose. The most prominent example of a "distribution" is an operating system. There are many Linux distributions (such as Debian, Fedora Core, Mandriva, Slackware, Ubuntu etc.) which ship the Linux kernel along with many user-land components. There are other distributions, like ActivePerl, the Perl programming language for various operating systems, and Cygwin distributions of open-source programs for Microsoft Windows.

Other open-source projects, like the BSD derivatives, maintain the source code of an entire operating system, the kernel and all of its core components, in one revision control system; developing the entire system together as a single team. These operating system development projects closely integrate their tools, more so than in the other distribution-based systems.

Finally, there is the book or standalone document project. These items usually do not ship as part of an open-source software package. Linux Documentation Project hosts many such projects that document various aspects of the Linux operating system. There are many other examples of this type of open-source project.

Methods

It is hard to run an open-source project following a more traditional software development method like the waterfall model, because in these traditional methods it is not allowed to go back to a previous phase. In open-source software development, requirements are rarely gathered before the start of the project; instead they are based on early releases of the software product, as Robbins describes. Besides requirements, often volunteer staff is attracted to help develop the software product based on the early releases of the software. This networking effect is essential according to Abrahamsson et al.: “if the introduced prototype gathers enough attention, it will gradually start to attract more and more developers”. However, Abrahamsson et al. also point out that the community is very harsh, much like the business world of closed-source software: “if you find the customers you survive, but without customers you die”.

Fuggetta argues that “rapid prototyping, incremental and evolutionary development, spiral lifecycle, rapid application development, and, recently, extreme programming and the agile software process can be equally applied to proprietary and open source software”. He also pinpoints Extreme Programming as an extremely useful method for open source software development. More generally, all Agile programming methods are applicable to open-source software development, because of their iterative and incremental character. Other Agile methods are equally useful for both open and closed source software development: Internet-Speed Development, for example is suitable for open-source software development because of the distributed development principle it adopts. Internet-Speed Development uses geographically distributed teams to ‘work around the clock’. This method, mostly adopted by large closed-source firms, (because they're the only ones which afford development centers in different time zones), works equally well in open source projects because a software developed by a large group of volunteers shall naturally tend to have developers spread across all time zones.

Tools

Communication channels

Developers and users of an open-source project are not all necessarily working on the project in proximity. They require some electronic means of communications. Email is one of the most common forms of communication among open-source developers and users. Often, electronic mailing lists are used to make sure e-mail messages are delivered to all interested parties at once. This ensures that at least one of the members can reply to it. In order to communicate in real time, many projects use an instant messaging method such as IRC. Web forums have recently become a common way for users to get help with problems they encounter when using an open-source product. Wikis have become common as a communication medium for developers and users.

Version control systems

Main article: Revision control

In OSS development the participants, who are mostly volunteers, are distributed amongst different geographic regions so there is need for tools to aid participants to collaborate in the development of source code.

During early 2000s, Concurrent Versions System (CVS) was a prominent example of a source code collaboration tool being used in OSS projects. CVS helps manage the files and codes of a project when several people are working on the project at the same time. CVS allows several people to work on the same file at the same time. This is done by moving the file into the users’ directories and then merging the files when the users are done. CVS also enables one to easily retrieve a previous version of a file. During mid 2000s, The Subversion revision control system (SVN) was created to replace CVS. It is quickly gaining ground as an OSS project version control system.

Many open-source projects are now using distributed revision control systems, which scale better than centralized repositories such as SVN and CVS. Popular examples are git, used by the Linux kernel, and Mercurial, used by the Python programming language.

Bug trackers and task lists

Main article: Bug tracking system

Most large-scale projects require a bug tracking system to keep track of the status of various issues in the development of the project.

Testing and debugging tools

Since OSS projects undergo frequent integration, tools that help automate testing during system integration are used. An example of such tool is Tinderbox. Tinderbox enables participants in an OSS project to detect errors during system integration. Tinderbox runs a continuous build process and informs users about the parts of source code that have issues and on which platform(s) these issues arise.

A debugger is a computer program that is used to debug (and sometimes test or optimize) other programs. GNU Debugger (GDB) is an example of a debugger used in open-source software development. This debugger offers remote debugging, what makes it especially applicable to open-source software development.

A memory leak tool or memory debugger is a programming tool for finding memory leaks and buffer overflows. A memory leak is a particular kind of unnecessary memory consumption by a computer program, where the program fails to release memory that is no longer needed. Examples of memory leak detection tools used by Mozilla are the XPCOM Memory Leak tools. Validation tools are used to check if pieces of code conform to the specified syntax. An example of a validation tool is Splint.

Package management

A package management system is a collection of tools to automate the process of installing, upgrading, configuring, and removing software packages from a computer. The Red Hat Package Manager (RPM) for .rpm and Advanced Packaging Tool (APT) for .deb file format, are package management systems used by a number of Linux distributions.

Publicizing a project

Software directories and release logs:

1. The Free Software Directory

Articles:

1. Linux Weekly News
2. IBM developerWorks

See also

• Business models for open-source software
• Government Open Code Collaborative
• Open-source software security
• Software composition analysis
• Software development process
• Release management
• Software engineering
• Metamodeling

Further reading

• Kavanagh, Paul (2004). Open source software: implementation and management. Software development. Amsterdam Boston: Elsevier Digital Press. ISBN 978-1-55558-320-0.
• Feller, Joseph, ed. (2005). Perspectives on free and open source software. Cambridge, Mass: MIT Press. ISBN 978-0-262-06246-6.
• Koch, Stefan, ed. (2005). Free, open source software development. Hershey, Pa.: Idea Group Publ. ISBN 978-1-59140-370-8.
• Fogel, Karl (2005). Producing open source software: how to run a successful free software project (1st ed.). Beijing ; Sebastopol, CA: O'Reilly. ISBN 978-0-596-00759-1. OCLC 62322583.
• Muir, Scott P. (2005). Open Source Software. Library Hi Tech. Mark Leggott. Bradford: Emerald Publishing Limited. ISBN 978-1-84544-877-6.
• Feller, Joseph (2007). Open Source Development, Adoption and Innovation: IFIP Working Group 2. 13 on Open Source Software, June 11-14, 2007, Limerick, Ireland. IFIP Advances in Information and Communication Technology Ser. Brian Fitzgerald, Walt Scacchi, Alberto Sillitti. New York, NY: Springer. ISBN 978-0-387-72485-0.
• Sowe, Sulayman K.; Stamelos, Ioannis G.; Samoladas, Ioannis M., eds. (2008). Emerging free and open source software practices. Hershey: IGI Pub. ISBN 978-1-59904-210-7. OCLC 84838909.
• Fogel, Karl (2009). Producing Open Source Software: How to Run a Successful Free Software Project. Sebastopol: O'Reilly Media, Inc. ISBN 978-0-596-00759-1.
• Engard, Nicole C. (2010). Practical open source software for libraries. Chandos information professional series. Oxford: Chandos publishing. ISBN 978-1-84334-585-5.
• Tucker, Allen B.; Morelli, Ralph; de Silva, Chamindra (2012). Software Development: An Open Source Approach. Chapman and Hall/CRC Innovations in Software Engineering and Software Development Ser. Boca Raton: Chapman and Hall/CRC. ISBN 978-1-4398-1290-7.
• Haff, Gordon (2021). How Open Source Ate Software: Understand the Open Source Movement and So Much More (2nd ed.). Berkeley, CA: Apress L. P. ISBN 978-1-4842-6799-8.