Transactions of the Japanese Society for Artificial Intelligence
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
Original Paper
Project Risk Prevention Method Using a Reconstructional Concept Map
Naoya HayashiKodai WatanabeYusuke HayashiTsukasa Hirashima
Author information
JOURNAL FREE ACCESS

2025 Volume 40 Issue 6 Pages A-P22_1-13

Details
Abstract

In modern web service development, involving various professionals with different expertise, the process has become increasingly fast-paced and complex. Effective information transmission within the team is crucial for success, as discrepancies often arise from differences in background knowledge and context interpretation. Understanding the context in which information is transmitted is essential to avoid these discrepancies. This study explores a method to reduce project risks by visualizing information transmission during the requirements definition and design phases using a Reconstructional Concept Map,as established in previous research. The method involves several steps: the transmitter expresses the content they want to convey as in the form of a concept map (referred to as a sharing understanding map), which is then broken down into nodes and links. The receiver reconstructs these components and overlays them onto the original map to identify discrepancies at the propositional level. This method has been validated in educational settings for its effectiveness and utility. The study applied this method to a BizDevOps team in a real web service project, aiming to detect discrepancies in information sharing and reduce project risks. The results indicated that the method was effective in detecting discrepancies, deemed useful by participants, and helped deepen sharing understanding among team members. Specifically, the study found that: (1) the method was effective in detecting discrepancies, (2) participants judged that it is a cost-effective and useful method, (3) transmitters could effectively describe their intended content using the concept map, and (4) the reconstruction activity itself helped deepen the sharing understanding among receivers.

Content from these authors
© JSAI (The Japanese Society for Artificial Intelligence)
Next article
feedback
Top