An Empirical Study of Bugs in Industrial Financial Systems

Xiao XUAN  Xiaoqiong ZHAO  Ye WANG  Shanping LI  

IEICE TRANSACTIONS on Information and Systems   Vol.E98-D   No.12   pp.2322-2327
Publication Date: 2015/12/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2015EDL8084
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%).