Automatic Testing of Financial Charting Software Component: A Case Study on Point and Figure Chart

Sim, Kwan Yong; Low, C. S.; Kuo, Fei-Ching

doi:10.1109/csa.2009.5404375

Cited by 1 publication

(5 citation statements)

References 16 publications

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“…In short, the graphical natures of its outputs and the absence of oracle prevent financial charting software components from being tested automatically without requiring human visual judgment. In view of this, we conducted a case study on the oracle problem in Point and In this paper, we extend the work in [25] and further make the following contributions: 1. Overall, we have eliminated subjective human visual judgment from testing of financial charting component that has the oracle problem.…”

Section: Introductionmentioning

confidence: 99%

“…3. We extend the automatic testing technique for financial charts proposed in [25] to explicitly combine metamorphic testing, assertion checking with our invented data label extraction method. Metamorphic testing has been shown to be more effective than assertion checking in terms of fault detection capability but its granularity of testing criteria is coarser than that of assertion checking [34].…”

Section: Introductionmentioning

confidence: 99%

“…Based on this observation, we propose to use both assertion checking and metamorphic testing in complementary to maximize fault detection capability. In addition to the metamorphic relations proposed in [25], three new metamorphic relations (MR3, MR5 and MR7) are proposed in this paper, of which MR3 has successfully detected faults in the Point and Figure chart under test. 4.…”

Section: Introductionmentioning

confidence: 99%

“…From the experiment results, we found that both assertion checking and metamorphic testing have detected different real faults in the financial charting components under test. In addition to the real-life financial time-series data used in [25], we introduce the randomized data series and compare its fault detection capability with the real-life financial timeseries. 5.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, metamorphic testing has been used to improve the testability of program components [5]. Preliminary study on Point and Figure chart also showed that metamorphic testing is effective in detecting faults in financial charting software [25].…”

Section: Introductionmentioning

confidence: 99%

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Eliminating Human Visual Judgment from Testing of Financial Charting Software

Sim¹,

Low²,

Kuo³

2014

JSW

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Financial charting software is widely used in share, commodity and foreign currency exchange markets to visualize and analyze price movements. Its quality is critical because incorrect outputs may lead to wrong analysis and trading decisions, and consequently substantial financial losses. Human visual judgment is often required to test financial charting software because of the graphical complexity of software outputs and limited knowledge of expected outputs. Such approach is labour intensive and error-prone. In this paper, we propose an automated testing technique combining metamorphic testing, assertion checking and a novel data label extraction method to eliminate human visual judgment from testing financial charting software. We used this technique to test pre-release builds of a commercial Point and Figure charting software component, and demonstrated that the proposed technique can effectively detect actual faults in the software component. Further, we discuss how the technique can be extended to test other charting software components.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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