Abstract

In an intelligent automation ecosystem, namely in the context of Robotic Process Automation, there is a need to review the development and operation processes and practices, to combine competences from these two areas with the common good necessary for any organization or security team. It is with security that quality, efficiency, and profitability become possible. The elaboration of guidelines and best practices for the application of a DevSecOps culture is currently essential for Agile software development at any organization. In the digitalization era, teams increasingly need a collaborative method to involve several competencies and capabilities, from analysis to implementation and the evolution of a software product. Information security needs to be an integral part throughout the entire product’s lifecycle, as without it, fundamental aspects of confidentiality, integrity, and availability put information and software security at serious risk in the course of business operations. Without losing focus on customer needs, it is necessary to model software development practices, following more agile methodologies. In this way, teams can model the software throughout its lifecycle, focusing on facilitating the delivery of value to the customer and having greater certainty that requirements, plans, and results are 100% aligned with customer needs. This paper presents an analysis and proposal for the continuous improvement of an intelligent automation platform at a large-scale multinational organization. In parallel, aspects that generate resistance to the implementation of a DevSecOps methodology within the scope of RPA code development is considered.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.