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Is XP and Devops can help in robotic process automation? 

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We found that the support of a number of technological enablers, such as implementing an automation pipeline and cross functional organisational structures, were critical to delivering the expected benefits of DevOps.
Business which automated its processes using the robotic process automation is supposed to gain multiple benefits in terms of reduced costs, improved process efficiency and significantly reduced number of rework tasks within the process.
This research demonstrates the potential benefits of applying robotic process automation (RPA) technology in master data management based on two companies in the manufacturing industry.
Proceedings ArticleDOI
01 Sep 2017
54 Citations
In conclusion it can be recommended to use DevOps to achieve high quality software.
The results from the empirical study indicate the need for improved process models and clear strategy connected to automation development.

Related Questions

How can automation enhance project management?5 answersAutomation can significantly enhance project management by streamlining tasks, improving efficiency, and providing valuable insights for decision-making. By integrating artificial intelligence (AI) and robotic process automation (RPA) into project management, organizations can benefit from improved resource allocation, better risk management, and faster decision-making processes. AI tools can automate time-consuming project control tasks, allowing for more focus on strategic planning and resource optimization. RPA bots can handle repetitive activities, freeing up human employees for more complex and creative work, ultimately leading to increased productivity and economic growth. Successful automation implementation requires a balance between human skills and AI technology, ensuring that both complement each other effectively for efficient project delivery.
How can AI and DevOps be used to improve the efficiency and effectiveness of software development?4 answersAI and DevOps can be used to improve the efficiency and effectiveness of software development. By leveraging AI, developers can train models to analyze software impact and development behavior, allowing for better identification of impacted files or modules and assigning the appropriate developer to handle new software requirements. DevOps, on the other hand, focuses on increasing the velocity and throughput of developing and deploying changes by providing intelligent and context-sensitive tools and services. These tools and services can ingest data from repositories and services, train models, and provide information to engineers to help increase their efficiency while developing and debugging. The combination of AI and DevOps enables a more streamlined and efficient software development process, allowing for faster release of features and continuous delivery of software changes.
How to master DevOps?5 answersTo master DevOps, it is important to focus on connecting the previously isolated silos of development and operations, improving and accelerating software delivery, and reducing time to market. This can be achieved by adopting DevOps practices, which involve end-to-end automation in software development and delivery. Additionally, measuring and monitoring metrics such as cycle time is crucial for both development and operations. It is also beneficial to use DevOps tools and technologies, such as GitHub and Jenkins, to facilitate the implementation of DevOps practices. The DevOps Effectiveness Assessment (DEA) is a useful tool for assessing an organization's DevOps maturity and identifying areas for improvement.
Does XP and Devops can help in robotic process automation?6 answers
When was robotic process automation introduced?9 answers
Where to learn robotic process automation?5 answers

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