Applying Text Mining for Quality Improvement and Efficiency in Software Testing
碩士 === 國立臺北科技大學 === 管理學院資訊與財金管理EMBA專班 === 107 === In recent years, the theory of deep learning has been discussed and applied to various fields of commerce, medicine, banking, industry, data analysis, etc. It can be said that it is the Artificial Intelligence age of hundred flowers bloom. Text Ming...
Main Authors: | JIAN, KUN-CHU, 簡坤助 |
---|---|
Other Authors: | HUANG, CHIEN -YI |
Format: | Others |
Language: | zh-TW |
Published: |
2019
|
Online Access: | http://ndltd.ncl.edu.tw/handle/m53f32 |
Similar Items
-
Applying Text Mining Technique to Analyze the Software Quality Characteristics of Mobile Games
by: Wu,Shang-Wei, et al.
Published: (2013) -
Using Text Mining Techniques for Customer''s Question Classification - A Case Study of an ERP Software Company
by: Ming-Chu Lai, et al.
Published: (2010) -
Applying Software Configuration Management to Improve Bank’s Software Quality
by: Tzu-Fen Lin, et al.
Published: (2013) -
Techniques to Improve Software Testing Efficiency
by: Jen-Gwo Lee, et al.
Published: (1994) -
Applying Quality Function Deployment and Text Mining for Home Delivery Service Development
by: Chiu, Pei-Hsuan, et al.
Published: (2018)