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Title:
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UTILIZING STRATIFIED SYSTEMS THEORY TO OPTIMIZE WORKFORCE ALLOCATION FOR SUSTAINABLE QUALITY DELIVERY IN DEVOPS TEAMS: A CASE STUDY |
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Author(s):
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Hanlie Smuts, Paul Louw, Danie Smit, Ingo Waechter and Vanessa Sardinha-da Silva |
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ISBN:
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978-989-8704-56-6 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2024 |
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Edition:
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Single |
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Keywords:
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Stratified Systems Theory, Workforce Optimization, Sustainability, DevOps Workforce Allocation |
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Type:
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Full |
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First Page:
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106 |
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Last Page:
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115 |
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Language:
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English |
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Cover:
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Full Contents:
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Paper Abstract:
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Software development, integration, deployment, and operational management require various complex skill sets. Furthermore, organizations are expected to deliver product-based applications and services faster than traditional software development processes, within specific cost, speed, and quality parameters. Given these challenges, information technology (IT) organizations structure their software teams around development and operations (DevOps). As software development for different product lines carries different levels of complexity, the optimal DevOps workforce mix becomes a key consideration. In this case study, we designed a generic DevOps workforce mix profile for product line delivery by applying stratified systems theory as a common language reflecting weighted drivers of workforce mix. We then compared actual workforce data to the generic DevOps workforce mix profile to establish optimal fit. We propose a set of repeatable guidelines to enhance organizations' understanding of the over- and under-representation of DevOps workforce mix allocation. Through an improved understanding, organizations may staff teams with an optimal balance between seniority, quality delivery, and operational costs and inform talent development and allocation strategies. |
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