An Association Rule Mining for Selection Requirement Elicitation and Analysis Techniques in IT Projects

Selecting suitable requirements elicitation, specification, and modeling techniques in IT projects is crucial to the business analysis planning process. Typically, the determining factors are the preferences of stakeholders, primarily business analysts, previous experience, and company practices, as well as the availability of sources of information and tools. The influence of other factors is not as evident. One viable method for generating guidance on technique utilization involves the examination of industrial expertise. The primary objective of this research is to investigate the utilization of association rules mining in order to delineate the variables that impact the selection of requirements elicitation and analysis techniques and to forecast the use of specific techniques contingent upon the project’s context and the business analyst’s profile. Three hundred twenty-eight practitioners from Ukraine’s IT industry were surveyed regarding their current practices in business analysis to form a dataset for experiments. The found associations give the potential to expedite the technique selection process in requirement management and enhance the overall efficiency of the business analysis activities.