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A Knowledge Management Guideline: Identifying And Quantifying The Knowledge Level Of A Team That Works For A Software Engineering Project

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  • ȚÎȚU Aurel Mihail

    (Lucian Blaga University of Sibiu)

  • NIȚĂ Nicoleta Mădălina

    (National University of Science and Technology POLITEHNICA Bucharest, Faculty of Industrial Engineering and Robotics)

Abstract

This scientific paper aims to explore the identification and quantification of the knowledge level within a team working on a software engineering project. The knowledge level of a team plays a crucial role in the success and efficiency of project outcomes. To achieve this objective, a comprehensive review of existing literature on knowledge management, team dynamics, and software engineering practices was conducted. This article reveals insights into the knowledge dynamics within software engineering teams. The research methodology consists of different quantitative and qualitative methods for data collection and analysis. The identified knowledge gaps and strengths can inform strategies for improving team performance, such as targeted training programs or knowledge sharing initiatives. Furthermore, the quantification of knowledge levels can serve as a benchmark for future projects, allowing for better resource allocation and team composition. Overall, this research is bringing benefits to the field of software engineering by providing a systematic approach to identify and quantify the knowledge level of teams, enabling organizations to optimize their team structures and enhance project outcomes.

Suggested Citation

  • ȚÎȚU Aurel Mihail & NIȚĂ Nicoleta Mădălina, 2023. "A Knowledge Management Guideline: Identifying And Quantifying The Knowledge Level Of A Team That Works For A Software Engineering Project," Management of Sustainable Development, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 15(2), pages 59-66, December.
    • Handle: RePEc:blg:msudev:v:15:y:2023:i:2:p:59-66:n:7
    DOI: https://doi.org/10.54989/msd-2023-0016
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