Methods of Identifying System Requirements

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Adzraku Setsoafia Edem B020909031 BIT Level 200 morning System Analysis & Design (ICT 231) Five Methods for Identifying System Requirement and How They are Applied in any System Development Venture System requirement are the specification that define the functions or performance to be provided by a system logically and physically. The objective of identifying the system requirement is to understand the business functions and develop a system with the necessary specification that will meet those functions. To develop any system the systems analyst needs to collect facts and all relevant information to identify or clarify what the organization wants out of the system to accomplish their objectives or goals. For the success of any systems…show more content…
Sampling When identifying the requirement of a system and there is a high volume of documents or a number of recurring activities the process by which the systems analyst use to collect documents or data about the system is known as sampling. The samples may include records, reports, operational logs, data entry documents, complaint summaries and work requests. The systems analyst may use various sampling techniques like systemic sampling, stratified sampling and random sampling. For example, suppose the analyst have a list 200 users of the current system who complained about errors in the system and the analyst wants to review a representative sample of 20 users out of the 200 users. A systemic sample would select every tenth user for review. If the analyst wants to ensure that the sample is balanced geographically, however he uses the stratified sampling to select a certain percentage of users from the 200 users, rather than a fixed number of users. Finally, for random sampling the systems analyst selects any user or users to form the 20 users out of the 200 users. The main objective of sampling is to ensure that it represent the overall population accurately. If the systems analyst is analyzing inventory transactions, for example, he should select a sample of transactions that are typical of an actual inventory operation and not include unusual or unrelated samples. The sample must be large enough to provide a fair representation of the overall data.
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