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Systems Development Life Cycle (SDLC)

Oct 25, 2018 | 0 comments

Oct 25, 2018 | Essays | 0 comments

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Systems Development Life Cycle (SDLC)

The Systems Development Life Cycle (SDLC) refers to a theoretical model that gives a description of stages in a system development project. Information system involves a group of interacting elements that creates a single integration. The information from the cycle assists developers to strategize for design, construct, examine, and deliver information system. The connections in the computer system makes it complicated hence, promoting the formation of various SDLC methodologies such as spiral, waterfall, rapid prototyping, agile software, and incremental models (Johns, 2002). Project management phases include planning, analysis, design, implementation, and maintenance (Terninko (2003).

The initial phase of SDLC of an information system is planning, which include problem definition, resources (human and finance), and objectives (Sankar & Prabhu, 2001). In this stage, system developer consults with the stakeholders then decides on the activities to conduct with the aim of outdoing the competitors. The second phase is system analysis where system planner identifies requirements of the customers then conduct a viability study to define the project’s social, economic, and technological levels. System design is the third stage that outlines features of a system, units, levels of security, and types of data that the system will process.

Sankar & Prabhu, 2001) state that implementation process starts after a concrete understanding of system stipulations and necessities. This stage follows different processes in cases of software or hardware. The system then becomes complete for distribution and installation for the clients. System developers can also provide basic training to the final users for acquaintance. They also test the system by integration of inputs to obtain the outcome usually to enhance buyer’s satisfactions. The final phase is system maintenance that involves progressive assessment of performance of the system and replacements where necessary (Lore, 1998).

Reference

Johns, M. (2002). Information management for health professions (2nd ed.). Albany, NY: Thomson Learning. Ch. 5, pp.127-193.

Lore, Jonathan. (1998). Quality Progress, 31(4), 144. Retrieved September 24, 2004, from ABI/INFORM complete database.

Sankar, N. & Prabhu, B. (2001). Journal of Quality and Reliability Management, 18(3), 324-335. Retrieved September 24, 2004, from ABI/INFORM complete database

Terninko, John. (2003). Quality Congress, 57, 515-526. Retrieved September 24, 2004, from ABI/INFORM complete database.

 

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