This paper examines the Systems Development Life Cycle (SDLC), a structured, linear methodology used in computer information technology to guide the development and implementation of software systems. The paper walks through each of the five required phases—Planning, Analysis, Design, Implementation, and Maintenance—explaining the key activities, deliverables, and decisions associated with each stage. It also addresses the historical rationale for the linear model, the role of user input across phases, and criticisms of SDLC's rigid sequential nature. The paper concludes by noting the growing adoption of more flexible, spiral, or iterative development models that allow simultaneous phases and greater responsiveness to user needs.
The Systems Development Life Cycle (SDLC) has historically been a very useful tool in the development of software and operating systems in computer information technology. Through the SDLC there are at least five distinct phases that are delineated and performed in a linear pattern. This means that each step must be complete, or at least very nearly complete, before the next group of experts can begin the following phase of work on a project. It has historically been thought that each stage's crucial contribution to the whole project is a necessary building block for the next phase of development. As a result, circular or spiral models — in which all or some phases occur simultaneously — were once considered difficult or impossible to apply within information technology (Kliem & Ludin, 1994, p. 12).
The five required stages of the SDLC are Planning, Analysis, Design, Implementation, and Maintenance. This paper provides a detailed analysis of each of these five phases, demonstrates ways in which the linear system is effective, and shows how it has been used to develop new systems and subsystems that have greatly influenced the worlds of technology and business. It also briefly discusses possible alterations to the system and some shortcomings observed in its implementation over the years.
During the planning phase there are several crucial steps that contribute to eventual development. Most importantly, the planning phase allows experts to identify the need for the system — in other words, what tasks the proposed system needs to accomplish. The planning phase allows experts to consult users and developers about the tasks they wish to automate, whether those are new tasks or existing tasks currently performed manually. The phase also allows developers to determine the feasibility of the project by asking questions such as: Does the organization have the technology available to build and support such a system, and if not, how can it be obtained? How long might it take to develop and implement the system? What is the scope of the system, and can it be expanded later?
It is also during the planning stage that developers outline the ways in which the new system could impact the organization as a whole and its users in particular. This is the phase where an idea is pitched — much as one would in marketing — to investors and potential users. If the idea seems valuable and feasible, the lifecycle moves on to analysis.
The analysis phase offers an opportunity to refine goals into clearly defined functions that fit within a concrete timeline. The phase takes the work of planning and expands it into specific functions and operations. What, exactly, is the system going to do? How will users interact with it to better serve the needs of the organization? What is the scope of the system, and can it be expanded later?
The most crucial aspect of the analysis phase is a discernible and concrete set of goals that details for investors and implementation professionals what the system will do, how it will change the current functioning of the larger system or company, how long it will take to build and implement, and — perhaps most importantly — how much it will cost to build and implement. Within the analysis phase, many of the early models of action, such as manuals and policies and procedures, should be developed. Analysis is essentially an on-paper demonstration of the proposed system.
"Converting plans into pseudocode and diagrams"
"Writing real code and early user testing"
"Debugging, expansion, and security after launch"
"Criticisms of SDLC and spiral model advantages"
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