Devops And Agile Methods Integrated Software Configuration Management Experience

• URL: http://arxiv.org/abs/2306.13964v1
• Date: Sat, 24 Jun 2023 13:40:27 GMT
• Title: Devops And Agile Methods Integrated Software Configuration Management Experience
• Authors: Fatih Bildirici, Keziban Seckin Codal
• Abstract summary: The aim of this study is to examine the differences and benefits that innovative methods bring to the software configuration management field when compared to traditional methods. Improvements are seen in the build and deployment time, automated report generation, more accurate and fault-free version management.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The advancements in the software industry, along with the changing technologies, methods, and conditions, have particularly brought forth a perspective that prioritizes the improvement of all stages of the software development lifecycle by approaching the process through automation. In particular, methods such as agile methodologies and DevOps, which focus on collaboration, automation, and efficient software production, have become crucial for the software industry. In particular, the understanding of utilizing principles such as distribution management, collaboration, parallel development, and end-to-end automation in agile software development, and DevOps techniques has emerged. In this study, one of these areas, software configuration management, and the integration of modern software development practices such as agile and DevOps are addressed. The aim of this study is to examine the differences and benefits that innovative methods bring to the software configuration management field when compared to traditional methods. To this end, a project is taken as a basis, and with the integration of DevOps and agile methodologies, improvements are made and the results are compared with the previous state. As a result of monitoring software configuration management with the integration of DevOps and agile methodologies, improvements are seen in the build and deployment time, automated report generation, more accurate and fault-free version management, completely controlling the software system, working time and workforce efficiency.

Related papers

• The Role of DevOps in Enhancing Enterprise Software Delivery Success through R&D Efficiency and Source Code Management [0.4532517021515834]
  This study focuses on enhancing R&D efficiency and source code management (SCM) for software delivery success. Using a qualitative methodology, data were collected from case studies of large-scale enterprises implementing DevOps.
  arXiv  Detail & Related papers  (2024-11-04T16:01:43Z)
• Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement [62.94719119451089]
  Lingma SWE-GPT series learns from and simulating real-world code submission activities. Lingma SWE-GPT 72B resolves 30.20% of GitHub issues, marking a significant improvement in automatic issue resolution.
  arXiv  Detail & Related papers  (2024-11-01T14:27:16Z)
• Think-on-Process: Dynamic Process Generation for Collaborative Development of Multi-Agent System [13.65717444483291]
  ToP (Think-on-Process) is a dynamic process generation framework for software development. Our framework significantly enhances the dynamic process generation capability of the GPT-3.5 and GPT-4.
  arXiv  Detail & Related papers  (2024-09-10T15:02:34Z)
• Agent-Driven Automatic Software Improvement [55.2480439325792]
  This research proposal aims to explore innovative solutions by focusing on the deployment of agents powered by Large Language Models (LLMs) The iterative nature of agents, which allows for continuous learning and adaptation, can help surpass common challenges in code generation. We aim to use the iterative feedback in these systems to further fine-tune the LLMs underlying the agents, becoming better aligned to the task of automated software improvement.
  arXiv  Detail & Related papers  (2024-06-24T15:45:22Z)
• A Roadmap for Software Testing in Open Collaborative Development Environments [14.113209837391183]
  The distributed nature of open collaborative development, along with its diverse contributors and rapid iterations, presents new challenges for ensuring software quality. This paper offers a comprehensive review and analysis of recent advancements in software quality assurance within open collaborative development environments.
  arXiv  Detail & Related papers  (2024-06-08T10:50:24Z)
• Charting a Path to Efficient Onboarding: The Role of Software Visualization [49.1574468325115]
  The present study aims to explore the familiarity of managers, leaders, and developers with software visualization tools. This approach incorporated quantitative and qualitative analyses of data collected from practitioners using questionnaires and semi-structured interviews.
  arXiv  Detail & Related papers  (2024-01-17T21:30:45Z)
• Automated Security Findings Management: A Case Study in Industrial DevOps [3.7798600249187295]
  We propose a methodology for the management of security findings in industrial DevOps projects. As an instance of the methodology, we developed the Security Flama, a semantic knowledge base for the automated management of security findings.
  arXiv  Detail & Related papers  (2024-01-12T14:35:51Z)
• Xcrum: A Synergistic Approach Integrating Extreme Programming with Scrum [0.0]
  This article aims to provide an overview of two prominent Agile methodologies: Scrum and Extreme Programming (XP) The integration of XP practices into Scrum has given rise to a novel hybrid methodology known as "Xcrum" It should be highlighted that, given this new approach's incorporation of the strengths of both methods, it holds the potential to outperform the original frameworks.
  arXiv  Detail & Related papers  (2023-10-05T01:39:10Z)
• The GitHub Development Workflow Automation Ecosystems [47.818229204130596]
  Large-scale software development has become a highly collaborative endeavour. This chapter explores the ecosystems of development bots and GitHub Actions. It provides an extensive survey of the state-of-the-art in this domain.
  arXiv  Detail & Related papers  (2023-05-08T15:24:23Z)
• Empowered and Embedded: Ethics and Agile Processes [60.63670249088117]
  We argue that ethical considerations need to be embedded into the (agile) software development process. We put emphasis on the possibility to implement ethical deliberations in already existing and well established agile software development processes.
  arXiv  Detail & Related papers  (2021-07-15T11:14:03Z)
• Technology Readiness Levels for Machine Learning Systems [107.56979560568232]
  Development and deployment of machine learning systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end. We have developed a proven systems engineering approach for machine learning development and deployment. Our "Machine Learning Technology Readiness Levels" framework defines a principled process to ensure robust, reliable, and responsible systems.
  arXiv  Detail & Related papers  (2021-01-11T15:54:48Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.