Maintaining consistent performance across Agile Software Development (ASD) teams is challenging due to a lack of standardised performance metrics. Existing Agile frameworks do not prescribe metrics to monitor, which limits visibility into ASD team performance and impairs management decision-making at scale. We address this gap in literature by updating a Systematic Literature Review (SLR) to synthesise the existing research in the body of knowledge on ASD measurement. From the initial 998 publications identified, 28 high-quality publication were selected for data extraction after screening. 137 distinct metrics were identified to be used in the high-quality publication, with 52 metrics related to aspects in teams. The usage frequency results were consolidated with the prior SLR, to highlight the 20 most frequently used metrics. Further deliberation between metrics to meet requirements identified in literature and by the project manager indicated that current metric usage trends suggest five key ASD performance metrics. By standardising story point size estimation through relative estimation, the resulting model proposes Velocity, Defect Rate, Throughput, Cycle Time, and Lead Time as standard measures of ASD team performance. This model offers managers a standardised basis for assessing performance and monitoring productivity, efficiency, and continuous improvement across teams in an enterprise.
Smit et al. (Fri,) studied this question.