Software development paradigm wiki

The entire project is planned upfront without any scope for changing requirements, such as Waterfall are all rigid and highly controlled. They outline distinct stages for project planning from start to finish and assume that you have all the requirements and information you need upfront. The following table summarizes many of the differences between Scrum and traditional project management models.

It is the oldest and most straightforward. With this methodology, we finish one phase and then start the next. It was the first model to identify the different stages that make up the system development process, and its simplicity has made it a useful model for many years. However, the waterfall model is not really a true reflection of what actually happens in system development, since it does not emphasize the need to iterate over the stages. The biggest drawback of this model is that small details left incomplete can hold up the entire process.

An extension of the waterfall model, this SDLC methodology tests at each stage of development. As with the waterfall, this process can run into roadblocks. It emphasizes how later stages of development are related to earlier stages; for example, how testing should be derived from the activities that are carried out during requirements and analysis.

The most flexible of the SDLC models, the spiral model is similar to the iterative model in its emphasis on repetition. The spiral model goes through the planning, design, build and test phases over and over, with gradual improvements at each pass. In this life cycle model, the system is partitioned according to areas of functionality. Each major functional area is developed and delivered independently to the client. They usually cooperate with the writers, trainers, installers, marketers, technical support people, and others who make many of these deliverables.

Engineering Explore. Wiki Content. Engineers Bioengineering Agricultural engineering Architectural engineering Electrical engineering Mathematics Mechanical engineering. Explore Wikis Community Central. Register Don't have an account? They certainly don't see the procedural decomposition or the functions that implement the transactions that move the money. There is an abrupt change between the problem and the procedural decomposition that analysis creates. This abrupt change is a paradigm shift.

Nevertheless, the procedural model is still appropriate for small, simple programs, and what we learn while studying it will carry over to our study of the object-oriented paradigm. Software developers created and used numerous data-driven paradigms from the mids through the mids.

Each variation had one essential feature in common: they followed the data as it entered the system, passed through processes that transformed the data, and continued to follow the data until it left the system. Analysis and design modeled the data flowing through the system as arrows entering and leaving process bubbles. Sometimes multiple arrows entered a bubble and were merged into a single exiting flow; sometimes, a single flow entered only to be separated into multiple flows leaving the process.

The result was a web of data and processes that described a given problem. An analysis based on any data-driven paradigm results in better problem domain understanding than an analysis based on a procedural decomposition. Furthermore, the models of the problem created during analysis and elaborated during design are more useful in many contexts than are the corresponding models based on the procedural paradigm.

Specifically, data flow-based models provided better support for software testing, validation, and documentation. Data flow diagrams are also easier for general stakeholders to understand than procedural decompositions or the programmed functions. It may seem odd for me to claim that data flow diagrams are generally understandable, and so there isn't a paradigm shift between the real-world problem and analysis. But imagine that we draw a bubble representing a person's employer, with an arrow representing money, running from the employer bubble to a bubble representing the person's bank.

Then we draw an arrow from the bank, again representing money, to a bubble representing a store where the person shops. I believe that data flow, where the data is money in this example, is intuitively understandable.

Unfortunately, there was a large gap between the data flow diagrams and the programs written during the implementation phase. For example csddumi explaining in this toot : "I'm trying such a new way of organizing developers by gathering a group of young programmers, who work together on a project of our choice, instead of each of us working on our own projects.

For that I suggest a new definition of the free software development process: An idea is had and published. The idea is made concrete. A group of developers finds themselves to work on the idea. The group writes the code.

The group makes a release. The group's software gains adoption The community of users and the developer group grows. For that I suggest a new definition of the free software development process: 1. An idea is had and published. The group's software gains adoption 7. The community of users and the developer group grows. Maybe a little mental prototyping is in order: A project based on the fediverse may be created, that: Allows any user to publish an "Idea" Object containing anything from a small word impulse to an entire whitepaper.

That "Idea" Object can be extended to become a "Concrete" Object, containing more technical details. The "Concrete" Object is proposed to developers. Developers join a project. Meaning they want to work on the project. Creating a "Group" Object. Developers are given a public discussion room for internal discussion.

Developers create a repository on a forge and select a maintainer from amongst their members. Maybe by voting? Development begins. Whenever I say Object, I mean an ActivityPub object Developers should be able to join and leave a project at any time. Maybe a little mental prototyping is in order: A project based on the fediverse may be created, that: 1. Allows any user to publish an "Idea" Object containing anything from a small word impulse to an entire whitepaper. Ideation Anyone can create an Idea e.

An Idea may have a Category and Tags. Any fedizen can follow a Category and find new Ideas as toots in their timeline, containing Tags as hashtags. People can navigate the UI, find all kinds of ideas based on the metrics collected for it. People state their interest to participate in a Project based on the idea, and what they can do for the project. Any Person can create a Project based on an Idea an idea can have multiple projects.

When a project is created the Ideation still continues. The ideation process goes in parallel. Project Management Project is the top-level object. It has association with the Idea. It has a Community a group. The project creator becomes the Organizer and is responsible for bootstrapping the Community. People may Join or be Invited into the Community. Community members may indicate their preferred Roles e. For the more formal roles those that come with privileges there may be Votes.

Ideally there's more than one person in an authoritative role to tackle risk of maintainer abandoning. Maybe there could be a 'credentials vault' and a way to upvote trusted persons to a Role where they can manage it.

Ideation - Anyone can create an Idea e. Project Management - Project is the top-level object. I'll try to minimize these into minimum viable product requirements based on the three domain split: MVP Ideation A service which allows the sharing, discussion and concretize ideas. It should achieve these minimum features: To create ideas as ActivityPub Objects containing text, tags, and a reference to an Idea it's based on if any. To discuss Idea Objects in the Fediverse. To gather the discussion in an easy to view UI.

The change of Idea Objects should be possible for the author of the Idea.