Requirements can be captured more accurately.ĭevelopment can be divided into smaller parts and the risky parts can be developed earlier which helps in better risk management. The advantages of the Spiral SDLC Model are as follows −Ĭhanging requirements can be accommodated. So, the discipline of change and the extent of taking change requests is very important to develop and deploy the product successfully. On the other side, it takes a very strict management to complete such products and there is a risk of running the spiral in an indefinite loop. Another positive aspect of this method is that the spiral model forces an early user involvement in the system development effort. This method is consistent with approaches that have multiple software builds and releases which allows making an orderly transition to a maintenance activity. This assures that there is no conflict with previous requirements and design. The advantage of spiral lifecycle model is that it allows elements of the product to be added in, when they become available or known. Significant changes are expected in the product during the development cycle. New product line which should be released in phases to get enough customer feedback. Requirements are complex and need evaluation to get clarity. Long-term project commitment because of potential changes to economic priorities as the requirements change with time.Ĭustomer is not sure of their requirements which is usually the case. When there is a budget constraint and risk evaluation is important. The following pointers explain the typical uses of a Spiral Model − learning with maturity which involves minimum risk for the customer as well as the development firms. The Spiral Model is widely used in the software industry as it is in sync with the natural development process of any product, i.e. The process of iterations along the spiral continues throughout the life of the software. The following illustration is a representation of the Spiral Model, listing the activities in each phase.īased on the customer evaluation, the software development process enters the next iteration and subsequently follows the linear approach to implement the feedback suggested by the customer. After testing the build, at the end of first iteration, the customer evaluates the software and provides feedback. Risk Analysis includes identifying, estimating and monitoring the technical feasibility and management risks, such as schedule slippage and cost overrun. These builds are sent to the customer for feedback. Then in the subsequent spirals with higher clarity on requirements and design details a working model of the software called build is produced with a version number. In the baseline spiral, when the product is just thought of and the design is being developed a POC (Proof of Concept) is developed in this phase to get customer feedback. The Construct phase refers to production of the actual software product at every spiral. The Design phase starts with the conceptual design in the baseline spiral and involves architectural design, logical design of modules, physical product design and the final design in the subsequent spirals. At the end of the spiral, the product is deployed in the identified market. This phase also includes understanding the system requirements by continuous communication between the customer and the system analyst. In the subsequent spirals as the product matures, identification of system requirements, subsystem requirements and unit requirements are all done in this phase. This phase starts with gathering the business requirements in the baseline spiral. A software project repeatedly passes through these phases in iterations called Spirals. It allows incremental releases of the product or incremental refinement through each iteration around the spiral. the waterfall model with a very high emphasis on risk analysis. This Spiral model is a combination of iterative development process model and sequential linear development model i.e. The spiral model combines the idea of iterative development with the systematic, controlled aspects of the waterfall model.
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