3D Object State Extraction Through Adjective Analysis from Informal Requirements Specs 


Vol. 13,  No. 10, pp. 529-536, Oct.  2024
https://doi.org/10.3745/TKIPS.2024.13.10.529


PDF
  Abstract

Recent advancements in AI technology have led to its application across various fields. However, the lack of transparency in AI operations makes it challenging to guarantee the quality of its outputs. Therefore, we integrate requirements engineering in software engineering with conversational AI technology to ensure procedural fairness. Traditional requirements engineering research uses grammar-centered analysis, which often fails to fully interpret the semantic aspects of natural language. To solve this, we suggest combining Noam Chomsky's syntactic structure analysis with Charles Fillmore's semantic role theory. Additionally, we extend our previous research by analyzing adjectives in informal requirement sentence structures. This enables precise emotional analysis of the main characters in comics. Based on the results of the analysis, we apply the emotional states of the objects to the states in the UML state diagram. Then, we create the 3D object with Three.js based on the object that reflects the emotional states in the state diagram. With this approach, we expect to represent the emotional state of a 3D object.

  Statistics


  Cite this article

[IEEE Style]

Y. J. Jin, C. Y. Seo, J. H. Kong, R. Y. C. Kim, "3D Object State Extraction Through Adjective Analysis from Informal Requirements Specs," The Transactions of the Korea Information Processing Society, vol. 13, no. 10, pp. 529-536, 2024. DOI: https://doi.org/10.3745/TKIPS.2024.13.10.529.

[ACM Style]

Ye Jin Jin, Chae Yun Seo, Ji Hoon Kong, and R. Young Chul Kim. 2024. 3D Object State Extraction Through Adjective Analysis from Informal Requirements Specs. The Transactions of the Korea Information Processing Society, 13, 10, (2024), 529-536. DOI: https://doi.org/10.3745/TKIPS.2024.13.10.529.