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John Moses
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2010 – 2019
- 2012
- [c3]Hampapuram K. Ramapriyan
, John Moses, Ruth E. Duerr
Preservation of data for Earth system science - Towards a content standard. IGARSS 2012: 5304-5307
2000 – 2009
- 2009
- [j9]John Moses:
Should we try to measure software quality attributes directly? Softw. Qual. J. 17(2): 203-213 (2009) - 2008
- [j8]John Moses, Malcolm Farrow:
Tests for consistent measurement of external subjective software quality attributes. Empir. Softw. Eng. 13(3): 261-287 (2008) - 2007
- [j7]John Moses:
Benchmarking quality measurement. Softw. Qual. J. 15(4): 449-462 (2007) - 2006
- [j6]John Moses, Malcolm Farrow, Norman Parrington, Peter Smith:
A productivity benchmarking case study using Bayesian credible intervals. Softw. Qual. J. 14(1): 37-52 (2006) - 2005
- [j5]John Moses, Malcolm Farrow:
Assessing Variation in Development Effort Consistency Using a Data Source with Missing Data. Softw. Qual. J. 13(1): 71-89 (2005) - 2003
- [j4]John Moses, Malcolm Farrow:
A Procedure for Assessing the Influence of Problem Domain on Effort Estimation Consistency. Softw. Qual. J. 11(4): 283-300 (2003) - 2002
- [j3]John Moses, Malcolm Farrow, Peter Smith:
Statistical Methods for Predicting and Improving Cohesion Using Information Flow: An Empirical Study. Softw. Qual. J. 10(1): 11-46 (2002) - [j2]John Moses:
Measuring Effort Estimation Uncertainty to Improve Client Confidence. Softw. Qual. J. 10(2): 135-148 (2002) - 2001
- [c2]John Moses:
A Consideration of the Impact of Interactions with Module Effects on the Direct Measurement of Subjective Software Attributes. IEEE METRICS 2001: 112-123 - 2000
- [c1]John Moses:
Learning How to Improve Effort Estimation in Small Software Development Companies. COMPSAC 2000: 522-527
1990 – 1999
- 1999
- [j1]John Moses, Malcolm Farrow, Peter Smith:
Cohesion prediction using information flow: an empirical feasibility study and comparison using students as inexperienced designers. Inf. Softw. Technol. 41(13): 887-905 (1999) - 1997
- [b1]John Moses:
Cohesion prediction using information flow. University of Sunderland, Tyne and Wear, UK, 1997
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