![]() ![]() ![]() Hence, in many cases the project delivers a final product that is not exactly what the customer needs. This results in a lengthy process where a long time elapses before the customers receive any output, leaving very little margin for improvement or for solving problems that may arise. Each preceding phase must end for the next phase to start. In the “cascade” or waterfall approach, the project phases – requirements capture, design, development, testing, bug fixes, and go-live – are treated as clearly defined, separate phases. This also results in a competitive advantage compared to projects that are deployed using traditional, waterfall methodologies. Agile is more collaborative and change-focused as it is based on a philosophy that entails a different way of looking at the organization and way of working while waterfall is much more sequential, controlled, and strict, with much more emphasis on the beginning part of the project and its planning.īoth approaches can be used in a wide variety of projects, although the flexibility of the agile approach ends up being essential for companies that are forced to adapt to an ever-changing environment. The Agile approach may be more unforgiving of bad architectural decisions early on it seems we will pay the price for those mistakes sooner or later in any case.The first thing to keep in mind is that both methodologies represent two different approaches in the management and development of the project. This requires us to provide a solid foundation for the architecture that avoids too many fragile structures. We will almost always need to maintain, modify, and extend our design. While there are different concerns for architecting a solution based on our SDLC choice, there are some excellent first steps in every case. These costly changes are essential to avoid in an Agile environment. If we choose the one-to-one initially, then we can be forced to recode in the front, middle, and back tiers later in the project, if one-to-many is required. We can model the address as a part of the main object, or we can have a one-to-many relationship. The most common example of this is the desire to store one or more addresses per (client, user, customer, etc.) object. However, that can bite us down the road if we suddenly have to support a different requirement. We can remove system flexibility to improve performance (even to the point of hard-coding values). This is a trade-off we often see in building software. One of the most common questions I find myself asking when architecting via Agile is whether something will need to be adaptable or an approach can set in stone. While you can prioritize performance and a tight architecture with waterfall, Agile demands a priority on flexibility. Instead, your architecture needs to be more flexible and extensible than one in a waterfall project. While you can always go back and re-architect the solution, that is still often a costly way to create your application. That is the nature of this approach to software development. This includes common concerns like performance, cost, and extensibility.Īn agile approach is going to change as you go. You can define a relatively static and complete architecture without as much fear of substantial changes. A waterfall approach front-loads a lot of the architecture decisions. The most significant impact this decision will have is the one on your mindset. While not entirely the domain of the architect, this decision often seems to be driven by them. ![]() This choice is one you will probably be asked to make when starting from scratch. However, there is a difference in your approach that depends on the SDLC you choose. The decision of Agile vs Waterfall in software development is not often linked to architecture. ![]()
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