What Is System Development Life Cycle?

After the release, any software system enters the stage of continuous maintenance. Today, any software product needs to be frequently checked for bugs and updated with features big and small. Indeed, you product may perform well upon release, but bugs can arise anytime. As for updates, your software solution needs to adapt to quickly changing needs its end users.

A system development life cycle is a structured project management model that outlines the phases required to build an IT system, from inception to the final result. The aim of a system development life cycle is to enable effective production of a high-quality solution that would meet or exceed a client’s expectations throughout all its stages, within the given budget and timelines. SDLC products from software vendors promise phases in the system development life cycle organizational clarity, modern process development procedures, legacy application strategies, and improved security features. Vendors such as Oracle, Airbrake, and Veracode provide software development solutions in their complete enterprise software offerings. Many of these vendors also have a strong focus on identifying and de-bugging systems that may support the process of testing in software development life cycles.

Other Models

The first few phases also bring to light whether the project is even worth undertaking in the first place or not. The system development life cycle process has also evolved into different systems such as agile software development, which enables development teams to work in a structured and efficient environment. With Veracode, developers can find and fix flaws at the most cost-efficient point in the development process and produce more secure software with every release. This is where the business analyst works together with other stakeholders to improve the business requirements document and write use cases, which would be shared with the project management team. The purpose of the business requirement assessments is toidentify potential risks,ensure technical feasibility, and guarantee quality assurance.

Like Agile, this seeks to improve the usability and relevance of applications. One significant advantage of this model is the feedback from actual software users on the design and implementation steps. One drawback is that it requires active collaboration and communication.

System Design For Functionality

Ideally, System Analysts are highly skilled and knowledgeable in multiple operating systems, hardware configurations, programming languages, and software and hardware platforms. They are usually involved from the beginning stages of a project and up until the post-evaluation phases in the system development life cycle review of the solution. Once the software testing phase is over and no bugs or errors left in the system then the final deployment process starts. Based on the feedback given by the project manager, the final software is released and checked for deployment issues if any.

phases in the system development life cycle

An extension of the waterfall model, this SDLC methodology tests at each stage of development. Popular SDLC models include the waterfall model, spiral model, and Agile model. In software development, a component integrates with other software components to create a full-fledged system. Around seven or eight steps appear commonly; however, there can be anywhere from five upwards to 12. Typically, the more steps defined in an SDLC model, the more granular the stages are. The SDLC offers perspective into the distinct work phases needed to produce software.

Life Cycle

In the Scrum framework, for example, one could say a single user story goes through all the phases of the SDLC within a single two-week sprint. The upper section of the work breakdown structure should identify the major phases and milestones of the project in a summary fashion. In addition, the upper section should provide an overview of the full scope and timeline of the project and will be part of the initial project description effort leading to project approval. The middle section of the WBS is based on the seven systems development life cycle phases as a guide for WBS task development.

phases in the system development life cycle

All of these builds are provided in iterations, and each iteration lasts from one to three weeks. In this type of SDLC model testing and the development, the phase is planned in parallel. So, there are verification phases of SDLC on the side and the validation phase on the other side. This phase comes after a complete understanding of system requirements and specifications, it’s the actual construction process after having a complete and illustrated design for the requested system. Iteration is what is system development life cycle’s greatest advantage, enabling faster development of systems by moving ahead with development without requiring full specifications upfront.


These phases are described in more detail in the following paragraphs. Documenting requirements and maintaining trace ability of those requirements throughout the development and implementation process. Establishing appropriate levels of management authority to provide timely direction, coordination, control, review, and approval of the system development project. Deliver quality systems which meet or exceed customer expectations when promised and within cost estimates.

And, if you want to successfully build your product and avoid common pitfalls, then you need to know what methods will help you. In this article, we will reveal to you what are the phases of the software development life cycle and how you can manage risks. The product life cycle describes the process for building information systems in a very deliberate, structured and methodical way, reiterating each stage of the product’s life. The phases in the system development life cycle System Development Life Cycle or the application development life cycle, for example, is an essential structure in the field of software engineering. The process includes planning, building, testing, and the overall structure of how an information system is developed and maintained. It originated back in the 1960s when groups of developers would band together to figure out the most efficient way to manage an information system.

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