An Empirical Study of Bugs in Industrial Financial Systems

Xiao XUAN; Xiaoqiong ZHAO; Ye WANG; Shanping LI

doi:10.1587/transinf.2015EDL8084

IEICE Transactions on Information and Systems

Online ISSN : 1745-1361
Print ISSN : 0916-8532

Regular Section

An Empirical Study of Bugs in Industrial Financial Systems

Xiao XUAN, Xiaoqiong ZHAO, Ye WANG, Shanping LI

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Keywords: financial system, bug category, empirical study

JOURNAL FREE ACCESS

2015 Volume E98.D Issue 12 Pages 2322-2327

DOI https://doi.org/10.1587/transinf.2015EDL8084

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Abstract

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%).

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