Smuts, HanlieLouw, PaulSmit, DanieWaechter, IngoSardinha-da Silva, Vanessa2025-07-152025-07-152024Smuts, H., Louw, P., Smit, D. et al. 2024, 'Optimal workforce allocation for quality delivery in devOps teams', IADIS International Journal on Computer Science and Information Systems, vol. 19, no. 1, pp. 96-110.1646-3692http://hdl.handle.net/2263/103380Software development, integration, deployment, and operational management necessitate a diverse array of complex skills. Additionally, there is a growing demand for organizations to expedite the delivery of product-based applications and services compared to traditional software development methods, all while adhering to specific cost, speed, and quality criteria. To address these challenges, IT organizations adopt a DevOps approach, structuring their software teams to integrate development and operations seamlessly. As the complexity varies across different product lines, determining the ideal mix of DevOps workforce becomes important. In this case study, we formulated a generic DevOps workforce profile for product line delivery using stratified systems theory, which considers weighted factors influencing the workforce mix. We then compared this profile with actual workforce data to identify the optimal alignment. Furthermore, qualitative data from 17 product line owners within the organization delineated their key considerations when allocating workforce to DevOps teams. By conducting a thematic analysis of these considerations, we refined the workforce allocation method and proposed a set of systematic guidelines to help organizations better grasp the distribution of DevOps workforce mix, thereby enabling them to staff teams with an optimal balance of expertise, delivery quality, and operational efficiency. This enhanced understanding can further inform talent development and allocation strategies.en© IADISStratified systems theoryWorkforce optimizationSustainabilityDevOps workforce allocationArticle