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New Computer Programming Findings Reported from University College London (The links between human error diversity and software diversity:...

July 31, 2014



New Computer Programming Findings Reported from University College London (The links between human error diversity and software diversity: Implications for fault diversity seeking)

By a News Reporter-Staff News Editor at Computer Weekly News -- Investigators publish new report on Computer Programming. According to news originating from London, United Kingdom, by VerticalNews correspondents, research stated, "Software diversity is known to improve fault tolerance in N-version software systems by independent development. As the leading cause of software faults, human error is considered an important factor in diversity seeking."

Our news journalists obtained a quote from the research from University College London, "However, there is little scientific research focusing on how to seek software fault diversity based on human error mechanisms. A literature review was conducted to extract factors that may differentiate people with respect to human error-proneness. In addition, we constructed a conceptual model of the links between human error diversity and software diversity. An experiment was designed to validate the hypotheses, in the form of a programming contest, accompanied by a survey of cognitive styles and personality traits. One hundred ninety-two programs were submitted for the identical problem, and 70 surveys were collected. Code inspection revealed 23 faults, of which 10 were coincident faults. The results show that personality traits seems not effective predictors for fault diversity as a whole model, whereas cognitive styles and program measurements moderately account for the variation of fault density. The results also show causal relations between performance levels and coincident faults; coincident faults are unlikely to occur at skill-based performance level; the coincident faults introduced in rule-based performances show a high probability of occurrence, and the coincident faults introduced in knowledge-based performances are shaped by the content and formats of the task itself."

According to the news editors, the research concluded: "Based on these results, we have proposed a model to seek software diversity and prevent coincident faults."

For more information on this research see: The links between human error diversity and software diversity: Implications for fault diversity seeking. Science of Computer Programming, 2014;89():350-373. Science of Computer Programming can be contacted at: Elsevier Science Bv, PO Box 211, 1000 Ae Amsterdam, Netherlands. (Elsevier - www.elsevier.com; Science of Computer Programming - www.elsevier.com/wps/product/cws_home/505623)

The news correspondents report that additional information may be obtained from F.Q. Huang, UCL, London WC1E 6BT, United Kingdom. Additional authors for this research include B. Liu, Y. Song and S. Keyal.

Keywords for this news article include: London, United Kingdom, Europe, Computer Programming, Software

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Computer Weekly News


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