Using Robotic Process Automation (RPA) in Enhancing Agile Software Delivery
DOI:
https://doi.org/10.56472/ICCSAIML25-166Keywords:
Robotic Process Automation, Agile Software Delivery, Automation, Continuous Integration, Testing Automation, DevOps, Software Development Lifecycle, Agile Methodologies, Efficiency, Case Studies, Automation in AgileAbstract
This paper investigates the integration of Robotic Process Automation (RPA) within agile software development frameworks, aiming to understand how automation can enhance the speed, quality, and efficiency of software delivery. As the demand for rapid and continuous software deployment increases, organizations are turning to automation tools like RPA to reduce manual effort, eliminate human error, and support the iterative nature of Agile practices. RPA is particularly well-suited for automating rule-based, repetitive tasks such as regression testing, code deployment, data collection, and system monitoring functions that are integral to the agile lifecycle but often time-consuming when performed manually. The paper explores the evolving capabilities of RPA, including its integration with emerging technologies like artificial intelligence (AI) and machine learning (ML). These advancements are enabling RPA to transition from simple task automation to intelligent automation, capable of making decisions, processing unstructured data, and adapting to dynamic environments. This evolution aligns with the Agile principle of continuous improvement, allowing development teams to become more responsive, flexible, and efficient
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