ProjectNavigator: A Software Project Management Approach Selection Assistant

In software projects, project management approaches are crucial. Selecting a suitable management approach based on the specific project characteristics becomes the key to the success of the project. However, software projects are becoming more and more complex, and project managers tend to rely on subjective judgment to select the project management approaches. At present, project managers lack a systematic method or tool that can help them quickly and accurately select the most suitable project management approach to reduce project risks and improve the success rate. The objective of this research is to propose a tool to assist project managers in selecting the most suitable project management approach based on the specific project characteristics. This research will collect and analyze existing project management approaches and their applicable scenarios to extract relevant influencing factors. Then, a recommendation tool is developed to compare and recommend the most suitable project management approach. Finally, the usability and effectiveness of the tool will be validated through expert evaluation and usability testing. Through this tool, project managers can quickly analyze and compare the suitability of different management approaches and obtain specific guidance and suggestions, significantly improving the success rate of projects.

Authors

Institutions

Publication Details

Journal
International Journal of Advanced Computer Science and Applications
Published
2025-01-01
DOI
https://doi.org/10.14569/ijacsa.2025.0160949
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ProjectNavigator: A Software Project Management Approach Selection Assistant

Salfarina Abdullah, Lin Dongzhi
International Journal of Advanced Computer Science and Applications
Business Process Modeling and Analysis
article

ProjectNavigator: A Software Project Management Approach Selection Assistant

Salfarina Abdullah, Lin Dongzhi
article en

Abstract

In software projects, project management approaches are crucial. Selecting a suitable management approach based on the specific project characteristics becomes the key to the success of the project. However, software projects are becoming more and more complex, and project managers tend to rely on subjective judgment to select the project management approaches. At present, project managers lack a systematic method or tool that can help them quickly and accurately select the most suitable project management approach to reduce project risks and improve the success rate. The objective of this research is to propose a tool to assist project managers in selecting the most suitable project management approach based on the specific project characteristics. This research will collect and analyze existing project management approaches and their applicable scenarios to extract relevant influencing factors. Then, a recommendation tool is developed to compare and recommend the most suitable project management approach. Finally, the usability and effectiveness of the tool will be validated through expert evaluation and usability testing. Through this tool, project managers can quickly analyze and compare the suitability of different management approaches and obtain specific guidance and suggestions, significantly improving the success rate of projects.

International Journal of Advanced Computer Science and ApplicationsVol. 16(9)
Universiti Putra Malaysia (MY)
Openalex Percentile: Top 56%
Business Process Modeling and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.