Optimizing Software Development Through Flow Metrics Analysis in the Scaled Agile Framework (SAFe)

To meet the ever-changing market demands, more efficient strategies are required due to the complexity of today's software development. Because it can combine Agile concepts with organizational structures to manage large-scale projects involving multiple teams and departments, the Scaled Agile Framework (SAFe) has been widely adopted. This research investigates how Flow Metrics from the SAFe framework can be used as a tool to improve productivity, efficiency and alignment of the software development process. This research examines how measurements such as flow velocity, flow efficiency, flow time, and flow load can be used to pinpoint bottlenecks, streamline processes, and improve the value delivered to clients. This research uses a qualitative methodology to examine the use of Flow Metrics in two interdependent Program Increments (PIs) by combining interviews with Agile practitioners and a literature survey. The analysis highlights how the Continuous Delivery (CD) Pipeline, backlog synchronization, and program increment planning—three critical components of SAFe—interact with each other. By highlighting the importance of metrics-based performance evaluation, collaborative planning, and continuous improvement, the findings of this research are intended to offer a useful foundation for businesses looking to implement SAFe for large-scale software development. This research advances a more comprehensive understanding of how SAFe and Flow Metrics can facilitate increasingly complex software development while guaranteeing adaptability to changing business needs.

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Publication Details

Journal
SinkrOn
Published
2025-04-15
DOI
https://doi.org/10.33395/sinkron.v9i2.14545
Primary Topic
Business Process Modeling and Analysis
Type
article
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article

Optimizing Software Development Through Flow Metrics Analysis in the Scaled Agile Framework (SAFe)

Handri Santoso, Eko Indrajit, Amelia Makmur, Achmad Fathurrazi Akbar
SinkrOn
Business Process Modeling and Analysis
article

Optimizing Software Development Through Flow Metrics Analysis in the Scaled Agile Framework (SAFe)

Handri Santoso, Eko Indrajit, Amelia Makmur, Achmad Fathurrazi Akbar
article en

Abstract

To meet the ever-changing market demands, more efficient strategies are required due to the complexity of today's software development. Because it can combine Agile concepts with organizational structures to manage large-scale projects involving multiple teams and departments, the Scaled Agile Framework (SAFe) has been widely adopted. This research investigates how Flow Metrics from the SAFe framework can be used as a tool to improve productivity, efficiency and alignment of the software development process. This research examines how measurements such as flow velocity, flow efficiency, flow time, and flow load can be used to pinpoint bottlenecks, streamline processes, and improve the value delivered to clients. This research uses a qualitative methodology to examine the use of Flow Metrics in two interdependent Program Increments (PIs) by combining interviews with Agile practitioners and a literature survey. The analysis highlights how the Continuous Delivery (CD) Pipeline, backlog synchronization, and program increment planning—three critical components of SAFe—interact with each other. By highlighting the importance of metrics-based performance evaluation, collaborative planning, and continuous improvement, the findings of this research are intended to offer a useful foundation for businesses looking to implement SAFe for large-scale software development. This research advances a more comprehensive understanding of how SAFe and Flow Metrics can facilitate increasingly complex software development while guaranteeing adaptability to changing business needs.

SinkrOnVol. 9(2)
Universitas Pramita Indonesia (ID)
Openalex Percentile: Top 87%
Business Process Modeling and Analysis
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Optimizing Software Development Through Flow Metrics Analysis in the Scaled Agile Framework (SAFe) — Handri Santoso, Eko Indrajit, et al. · SinkrOn (2025) | TGRS Research Map | TGRS