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Home List of Titles Automatic testing of financial charting software component: a case study on point and figure chart
Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/68160
- Automatic testing of financial charting software component: a case study on point and figure chart
- Sim, K. Y.; Low, C. S.; Kuo, F. -C.
- Financial charting software is widely used for technical analysis of price movements in financial markets. Commercial off-the-shelf charting components are often used to build such software. However, the outputs of some charting components are difficult to be verified because the correct outputs are unknown. In many cases, charting output verification relies on subjective visual judgement and manual construction of the chart by the testers, which are prone to human errors. Hence, the charting components could be poorly tested before being integrated into software. In this paper, we perform a study on the Point and Figure charting component and propose an automatic testing techniqure that is built upon the notions of assertion checking and metamorphic testing to alleviate these problems. Experiments on pre-release builds of Nextwave Software Point and Figure charting component show that this automatic testing technique has successfully detected real faults in the charting component tested.
- Publication type
- Conference paper
- Research centre
- Swinburne University of Technology. Faculty of Information and Communication Technologies
- Research centre
- Swinburne University of Technology. Sarawak Campus. School of Engineering, Computing and Science
- Proceedings of the 2nd International Conference on Computer Science and its Applications (CSA 2009), Jeju Island, Korea, 10-12 December 2009, pp. 177-183
- Publication year
- FOR Code(s)
- 080309 Software Engineering
- Assertion checking; Financial charts; Metamorphic testing; Point and figure chart; Software testing; Testing
- Publisher URL
- Copyright © 2009 IEEE.
- Research Projects
Metamorphic testing: an in depth study to enhance the failure detection capability of software testing without an oracle, Australian Research Council grant number DP0771733
- Peer reviewed