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Using traceability to mitigate cognitive biases in software development
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Source
Communications of the ACM archive
Volume 51 ,  Issue 9  (September 2008) table of contents
Enterprise information integration: and other tools for merging data
SECTION: Virtual extension table of contents
Pages 110-114  
Year of Publication: 2008
ISSN:0001-0782
Authors
Kannan Mohan  Zicklin School of Business, Baruch College, City University of New York (CUNY) - New York, NY
Radhika Jain  Zicklin School of Business, Baruch College, City University of New York (CUNY) - New York, NY
Publisher
ACM  New York, NY, USA
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Arnott, D. Cognitive biases and decision support systems development: a design science approach. Information Systems Journal, 16 (1), 2006, 55--78
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Harvey, N. and Harries, C. Effects of judges forecasting on their later combination of forecasts for the same outcomes. International Journal of Forecasting, 20 (3), 2004, 391--409.
 
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Kahneman, D. and Tversky, A. On the psychology of prediction. Psychology Review, 80,1973, 237--251.
 
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Kirs, P.J., Pflughoeft, K. and Kroeck, G. A process model cognitive biasing effects in information systems development and usage. Information & Management, 38 (3), 2001,153--165.
 
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Kydd, C.T Cognitive biases in the use of computer-based decision support systems. Omega, 17 (4), 1989 335--344.
 
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Tversky, A. and Kahneman, D. Judgment under Uncertainty: Heuristics and Biases. Science, 185 (4157), 1974, 1124--1131.

Collaborative Colleagues:
Kannan Mohan: colleagues
Radhika Jain: colleagues