Paul Krause
Cited by
Cited by
Using formal specifications to support testing
RM Hierons, K Bogdanov, JP Bowen, R Cleaveland, J Derrick, J Dick, ...
ACM Computing Surveys (CSUR) 41 (2), 1-76, 2009
A logic of argumentation for reasoning under uncertainty
P Krause, S Ambler, M Elvang‐Goransson, J Fox
Computational Intelligence 11 (1), 113-131, 1995
Rule-based generation of requirements traceability relations
G Spanoudakis, A Zisman, E Pérez-Minana, P Krause
Journal of systems and software 72 (2), 105-127, 2004
Predicting software defects in varying development lifecycles using Bayesian nets
N Fenton, M Neil, W Marsh, P Hearty, D Marquez, P Krause, R Mishra
Information and Software Technology 49 (1), 32-43, 2007
Representing uncertain knowledge: an artificial intelligence approach
P Krause, D Clark
Springer Science & Business Media, 2012
Software measurement: Uncertainty and causal modeling
N Fenton, P Krause, M Neil
IEEE software 19 (4), 116-122, 2002
On the effectiveness of early life cycle defect prediction with Bayesian Nets
N Fenton, M Neil, W Marsh, P Hearty, Ł Radliński, P Krause
Empirical Software Engineering 13 (5), 499-537, 2008
Learning probabilistic networks
PJ Krause
The Knowledge Engineering Review 13 (4), 321-351, 1999
Dialectic reasoning with inconsistent information
M Elvang-Gøransson, P Krause, J Fox
Uncertainty in Artificial Intelligence, 114-121, 1993
Arguments, contradictions and practical reasoning
J Fox, P Krause, S Ambler
Proceedings of the 10th European conference on Artificial intelligence, 623-627, 1992
Acceptability of arguments as ‘logical uncertainty’
M Elvang-Gøransson, PJ Krause, J Fox
European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 1993
An automatic test case generation framework for web services
Y Zheng, J Zhou, P Krause
Journal of Software (JSW) 2, 64-77, 2007
How Artificial Intelligence and machine learning research impacts payment card fraud detection: A survey and industry benchmark
NF Ryman-Tubb, P Krause, W Garn
Engineering Applications of Artificial Intelligence 76, 130-157, 2018
Using ontologies to improve semantic interoperability in health data
H Liyanage, P Krause, S De Lusignan
BMJ Health & Care Informatics 22 (2), 2015
Tracing Software Requirements Artifacts.
A Zisman, G Spanoudakis, E Pérez-Miñana, P Krause
Software engineering research and practice, 448-455, 2003
Computer aided transformation of Z into Prolog
AJJ Dick, PJ Krause, J Cozens
Z user workshop, 71-85, 1990
A probabilistic model for software defect prediction
N Fenton, P Krause, M Neil
IEEE Transactions on Software Engineering 44 (0), 1-35, 2001
Argumentation as a general framework for uncertain reasoning
J Fox, P Krause, M EIvang-Gøransson
Uncertainty in Artificial Intelligence, 428-434, 1993
An efficient PHR service system supporting fuzzy keyword search and fine-grained access control
F Xhafa, J Wang, X Chen, J Liu, J Li, P Krause
Soft Comput. 18, 1795-1802, 2013
Project data incorporating qualitative factors for improved software defect prediction
N Fenton, M Neil, W Marsh, P Hearty, L Radlinski, P Krause
Third International Workshop on Predictor Models in Software Engineering …, 2007
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