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

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Software, System, and Service Engineering (KKIO 2023)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 499))

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Abstract

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.

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Authors and Affiliations

  1. National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 37, Prosp. Peremohy, Kyiv, Ukraine

    Denys Gobov

  2. Independent Researcher, Erevan, Armenia

    Nikolay Sokolovskiy

Authors
  1. Denys Gobov
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  2. Nikolay Sokolovskiy
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Corresponding author

Correspondence to Nikolay Sokolovskiy .

Editor information

Editors and Affiliations

  1. Gdańsk University of Technology, Gdansk, Poland

    Aleksander Jarzębowicz

  2. University of Belgrade, Belgrade, Serbia

    Ivan Luković

  3. Gdańsk University of Technology, Gdańsk, Poland

    Adam Przybyłek

  4. University of Gothenburg, Gothenburg, Sweden

    Mirosław Staroń

  5. Karlstad University, Karlstad, Sweden

    Muhammad Ovais Ahmad

  6. Poznan University of Technology, Poznan, Poland

    Mirosław Ochodek

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Gobov, D., Sokolovskiy, N. (2024). An Association Rule Mining for Selection Requirement Elicitation and Analysis Techniques in IT Projects. In: Jarzębowicz, A., Luković, I., Przybyłek, A., Staroń, M., Ahmad, M.O., Ochodek, M. (eds) Software, System, and Service Engineering. KKIO 2023. Lecture Notes in Business Information Processing, vol 499. Springer, Cham. https://doi.org/10.1007/978-3-031-51075-5_4

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  • DOI: https://doi.org/10.1007/978-3-031-51075-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51074-8

  • Online ISBN: 978-3-031-51075-5

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