Research on the Optimization of Software Project Management Based on IPD: Oriented Towards Intelligent Collaboration
- DOI
- 10.2991/978-94-6463-632-1_16How to use a DOI?
- Keywords
- PD; Software Project Management; Optimization; Intelligent Collaboration
- Abstract
This paper focuses on the research of optimizing software project management based on the Integrated Product Development (IPD) approach, aiming to enhance management efficiency through intelligent collaboration. Firstly, it elaborates on the background and purpose of the research, highlighting the importance of IPD in software project management and its current application status. Then, it explores the theoretical foundation of IPD and its connection with software project management, including the core concepts and advantages of IPD, as well as their manifestations in software projects. Through practical case analyses of IPD in software project management, both successful and problematic cases are examined to draw valuable lessons. Subsequently, specific optimization strategies for software project management based on IPD are proposed, such as leveraging project management software and implementing detailed measures. Finally, the paper summarizes the main conclusions of the research and looks forward to future research directions in this field.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Wenjia Xie AU - Kun Yang PY - 2024 DA - 2024/12/26 TI - Research on the Optimization of Software Project Management Based on IPD: Oriented Towards Intelligent Collaboration BT - Proceedings of the 2024 4th International Conference on Business Administration and Data Science (BADS 2024) PB - Atlantis Press SP - 158 EP - 165 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-632-1_16 DO - 10.2991/978-94-6463-632-1_16 ID - Xie2024 ER -