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An Empirical Study of Bugs in Industrial Financial Systems
Xiao XUAN Xiaoqiong ZHAO Ye WANG Shanping LI
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2015/12/01
Online ISSN: 1745-1361
Type of Manuscript: LETTER
Category: Software Engineering
financial system, bug category, empirical study,
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Bugs in industrial financial systems have not been extensively studied. To address this gap, we focused on the empirical study of bugs in three systems, PMS, β-Analyzer, and OrderPro. Results showed the 3 most common types of bugs in industrial financial systems to be internal interface (19.00%), algorithm/method (17.67%), and logic (15.00%).