Open Source Cloud Authors: Elizabeth White, Pat Romanski, Yeshim Deniz, Liz McMillan, Zakia Bouachraoui

Related Topics: Open Source Cloud, Linux Containers

Open Source Cloud: Article

Adopting an Open Source Approach to Software Development, Distribution, and Licensing

Advantages, Risks, Culture Change, and Strategies

(SYS-CON Media) - Since the beginning of the software industry, nearly every software company in the world has followed the same business model: its own employees develop the software, which is closely held intellectual property, the software is delivered to clients in binary form, and users run the licensed software on their own computers. Today, this model has been challenged by a new paradigm: open source. Developed and maintained by volunteers across the world, distributed to users at no cost, and available as source code, open source software is radically different from its proprietary counterpart. Each of the new characteristics of open source software forces organizations to develop new ways of thinking about how they procure, implement, test, and deploy it.

Accessible without cost, open source software is created under conditions very different from commercial software and is distributed to users under very different licensing terms from commercial software. Open source software developers take responsibility for the quality of the software. This responsibility demands a new model of software procurement, one where the organization is an active participant in creating the complete software, rather than a passive recipient of what the vendor delivers. The new model demands new working methods and practices. In this article, we'll discuss the open source development model and practices. We'll explore the various benefits and risks the open source model brings to development practices, and possible strategies to support and get involved in open source.

Open Source versus Freeware
It's important to note that open source differs significantly from freeware. Freeware is software distributed without a fee, but without source code access. Freeware creators restrict intellectual property rights to the software slightly and offer the software on a "as is" basis in contrast to open source, which carries less restrictive licensing terms and lets users modify the software product if they want. Freeware is often distributed on a "time-restricted/limited" basis, meaning that it's only free for a while. When time is up, the software stops working. If the user wants to continue using it, he has to pay a licensing fee to disable the time restriction.

Open Source Software
Open source software is software whose source code is freely available to its users. It can be downloaded from the project's Web site and used or modified as desired, as long as its license requirements are observed. Open source software and the open source community have unique characteristics:

  • Zero-price software: Open source software is distributed at no cost. There's no charge for the source code and there are no licensing fees.
  • A different licensing model: Like any other software, open source software is distributed under a license that controls how it can be used. However, open source licenses are less restrictive than the licenses on proprietary software in terms of how the software can be used. Typical license conditions include contributing any source code changes back to the main source base and distributing source changes to any customers of the organization that modified the code. The specific conditions depend on the kind of open source license used. It's important to state that open source licenses are written to encourage wide use, with few restrictions put on the software's use. For a list of approved open source licenses, see www.opensource.org/licenses.
  • Open source software developers: Open source developers come from different backgrounds. They are volunteers who donate their time to work on open source projects. The fact that open source software is written by volunteers affects how open source teams are formed and how they work together. Because individuals participate based on their interest in the software, open source management practices are also very different from those in commercial software companies. Open source development teams work together in a decentralized fashion with little hierarchy. The project leader is usually the person who originated the project; he or she must manage by consensus with a lead-by-example approach. The project leader is responsible for developing a common understanding of what functionally the upcoming release will contain, encouraging new developers to join the project, helping developers select a piece of the project to work on, and solving any conflicts that arise between team members. The hierarchy is loose. The best way to describe the hierarchy and leadership is to say, he who writes the code and contributes to the project makes and influences the decisions.
  • The philosophy of community: The practice of frequent releases to gather user feedback underscores a distinguishing characteristic of the open source world - the community. The open source community refers to groups of contributors and users participating in and organized into a community based on their field of interest. There are no formal requirements for joining and no formal rules for participating. However, the lack of formality doesn't mean that there are no standards for participating or behaving. Unwritten rules govern all community interactions. A community member is expected to interact respectfully, make reasoned arguments about why a particular course of action is right, and, above all, contribute.
  • Development practices: Open source projects tend to make releases available early to the user community and then update the releases quickly as the software is modified. This practice is described as "release early, release often." The open source community believes that this practice leads to higher-quality software because of peer review and the large base of users who are using the software, accessing the source code, reporting bugs, and contributing fixes. A side benefit of having many people look at the code is that it's reviewed for adherence to coding standards; fragile or inflexible code can be improved because of this review.
Open Source Development Model
The open source development model is distinctly different from the corporate development model, which follows the traditional waterfall software model of collecting requirements, designing, implementing, testing, and then releasing.

The open source development model, as illustrated in Figure 1, starts with an idea for a new project, new functionality, or new capability for an existing open source software component. The next step is to provide a design for the implementation and then a prototype of the capability and to translate it from an idea into running software. Following the spirit of release early and often, the moment the software runs, it's released as a development release, even though it may contain known and unknown bugs. The software will be tested by the community, which discusses the software and provides feedback, bug reports and fixes through the project mailing list. The feedback is recorded and taken into consideration to improve the implementation, and then a new development release will be made available. This cycle happens as many times as needed until project members feel the implementation is stable. When the implementation is released as stable, the development cycle continues with the development release (also called the development tree) until a newer stable release is available. Some of the unique characteristics of the open source development model include:

  • Bottom-up development: Project members who do the most work get the most say in design and implementation decisions.
  • "Release early, release often": This release philosophy allows for peer review, with all members of the community commenting and offering suggestions and bug fixes. It also allows for small incremental changes that are easier to understand and test.
Open Source: Advantages & Risks
Let's turn briefly to the advantages and risks of using open source software components, and the cultural changes wrought by this model:

Advantages to using open source software components in commercial products

  • Do more with less: Using open source components, your organization can reduce development costs and time-to-market and focus on the added value it brings to the product. Following this model, you should therefore source enablers and tools as much as possible and focus on your core business.
  • Open source is an additional sourcing channel: Typically, you develop software yourself within your organization or subcontract it to third party. With open source, you gain an additional sourcing channel.
  • Improved quality by peer review: The open source community has a special development cycle characterized by early and frequent releases, which facilitates extensive peer review.
  • Using open source for standardization reference implementations: Open source is a way to launch reference implementations for standardization projects in parallel with our standardization efforts. When it benefits your company, you should promote the development of reference implementations as open source software in various standardization bodies. Open source implementations advance faster than proprietary ones.
  • Access to source code: Access to the source code lets us modify it and build on top of it to suit our specific needs.
  • Undercut the competition: Open source can be used as a way to share the cost of developing software components and reset the competition.
  • Faster path to innovation: Software components continue to be improved with people contributing fixes, patches, and new functionalities.
Risks of using open source components
Along with advantages come the risks of using open source software components:
  • Requirement to disclose source code: This depends on which license is attached to the open source software component.
  • IPR responsibility: With open source software, you're responsible for any IPR-related issues. With third-party software, verifying IPR-related issues are the vendor's responsibility. Problems with intellectual property and software patents can surface because the availability of the source code simplifies the detection of infringements by IP owners.
  • Open source software evaluation: Like any other third-party software, open source software must go through an evaluation process. If it's open source, its quality isn't necessarily superior. You still need to evaluate the quality and the functionalities provided. There are some quantitative approaches available or in development to assess the maturity of open source software components, including the Open Source Maturity Model (OSMM) and the Business Readiness Rating (a new model for rating open source software).
  • Competing open source projects: There can be competing open source projects, which means you have to evaluate all of them.
  • No control over project deliverables and deadlines: The community's motivation for improving and developing a piece of software is unpredictable; it might vanish or at least decrease. Release schedules are uncertain.
  • Many developers are working on their own time: Open source developers will only work on features that interest them, which vary a lot. As such, they don't work to deadlines, but work on a project as long as they're interested in it.
Cultural Changes
Working with the open source community is different from the traditional corporate development environment. It has a process and set of values that is different from traditional proprietary development model. (Table 1)

Furthermore, working with open source and following the open source method will have an impact on the work methods and culture of an organization.

  • Changing working methods: Working with open source and following the open source development mode impacts the way an organization develops software, moving it from the "Not Invented Here" (NIH) syndrome to using open processes and accepting code written by others.
  • Distributed development: The open source community doesn't assume that development is done in a single location. Using the same development tools as the open source community will encourage corporate software engineers to work more closely together.
  • Investment versus cost: Working with the open source community should be perceived as a strategic investment with long-term benefits rather than a cost.
  • Contributing code: Moving from writing propriety code to contributing source code to open source is a new way of doing things and people should be open to it, accepting criticism and implementing suggestions.
  • Staying competent: Working on open source projects and being exposed to open technologies is new way of working, being educated and staying competent.
Open Source Strategies
There are many open source strategies that can be adopted and customized to your organization. Below we list three major strategies that are very common.

1)  Promote and encourage company developers to use open source software and tools in their development environment when they meet their needs.
2)  Include open source software components in commercial products based on a set of criteria such as technical, merit, time-to-market (TTM) advantage, and avoiding vendor lock-in.
3)  Contribute source code, initiate projects, and be leader in the open source community. Contributing to open source must be business-driven and decisions to participate and contribute are taken on a case-by-case. Examples of business-driven contributions include providing a reference implementation to establish a project as a de facto industry standard, commoditizing a market, ensuring that new features are of interest to your organization, contributing enablers and software that aren't valuable enough to keep proprietary or as no-margin products.

Once a company adopts an open source strategy, the next task is to communicate it to the development organization, business units, and technology groups.

Open source software is shifting the software industry to a new paradigm, moving from developing code behind closed doors and delivering binaries to customer, to developing code that's shared, modified, and redistributed openly. Key benefits associated with this shift are the reduction in development cost and software component complexity and developing reusable, common off-the-shelf software assets, while increasing flexibility and using common enablers. Organizations that embrace the open source model and follow it when it positively influences their way of building software will increase their chance of retaining a competitive advantage.

Further Readings

More Stories By Ibrahim Haddad

Ibrahim Haddad is a member of the management team at The Linux Foundation responsible for technical, legal and compliance projects and initiatives. Prior to that, he ran the Open Source Office at Palm, the Open Source Technology Group at Motorola, and Global Telecommunications Initiatives at The Open Source Development Labs. Ibrahim started his career as a member of the research team at Ericsson Research focusing on advanced research for system architecture of 3G wireless IP networks and on the adoption of open source software in telecom. Ibrahim graduated from Concordia University (Montréal, Canada) with a Ph.D. in Computer Science. He is a Contributing Editor to the Linux Journal. Ibrahim is fluent in Arabic, English and French. He can be reached via http://www.IbrahimHaddad.com.

Comments (2)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.

IoT & Smart Cities Stories
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
Nicolas Fierro is CEO of MIMIR Blockchain Solutions. He is a programmer, technologist, and operations dev who has worked with Ethereum and blockchain since 2014. His knowledge in blockchain dates to when he performed dev ops services to the Ethereum Foundation as one the privileged few developers to work with the original core team in Switzerland.
Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the technology world. No disruptive technology is without its challenges and potential impediments t...
If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...