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Professor Paul Krause

Professor of Software Engineering

Qualifications: BSc PhD FIMA CMath

Email:
Phone: Work: 01483 68 9861
Room no: 32 BB 02

Office hours

Monday: 14:00-16:00

Further information

Biography

1977       BSc Combined Honours (Class I) in Pure Mathematics and Physics (University of Exeter)

1977-1980    PhD in Geophysics (University of Exeter)

1980-1987    National Physical Laboratory - Research in low-temperature metrology, with a specific focus on the maintenance and development of the Josephson Voltage Standard.

1987-1989    Research Fellow in Computing at University of Surrey studying the animation of formal specifications

1989-1996    Research Fellow at Imperial Cancer Research Fund studying models of argumentation and their application to clinical diagnosis and patient management

1996-2003    Prinicipal Scientist and then Senior Principle Scientist at Philips Research Laboratories. Focus on developing techniques to support the specification, automated testing and quality analysis of embedded software

2001-Present    Professor of Software Engineering, University of Surrey

Google Scholar is currently (December 2011) giving me an h-index of 22.

Research Interests

  • Digital and Industrial Ecosystems as Complex Adaptive Systems
  • Use of ICT to support sustainable living and social change
  • Social-constructivist approaches to continued professional development
  • Formal models of interactive computing
  • Practical applications of Machine Learning

Further details can be found on my Mendeley entry:
Paul Krause's citations
and on my personal web page.

Publications

Click here to see my Google Scholar Citation Profile.

Journal articles

  • de Lusignan S, Cashman J, Poh N, Michalakidis G, Mason A, Desombre T, Krause P. (2012) 'Conducting Requirements Analyses for Research using Routinely Collected Health Data: a Model Driven Approach.'. Stud Health Technol Inform, Netherlands: 180, pp. 1105-1107.
    doi: 10.3233/978-1-61499-101-4-1105
  • de Lusignan S, Krause P, Michalakidis G, Vicente MT, Thompson S, McGilchrist M, Sullivan F, van Royen P, Agreus L, Desombre T, Taweel A, Delaney B. (2012) 'Business Process Modelling is an Essential Part of a Requirements Analysis. Contribution of EFMI Primary Care Working Group.'. Schattauer Publishers Yearb Med Inform, Germany: 7 (1), pp. 34-43.
  • Krause PJ, Perez-Minana E, Thornton J. (2012) 'Bayesian Networks for the management of Greenhouse Gas emissions in the British agricultural sector'. Elsevier Environmental Modelling and Software, 35, pp. 132-148.
    doi: 10.1016/j.envsoft.2012.02.016
    Full text is available at: http://epubs.surrey.ac.uk/532053/

    Abstract

    Recent years have witnessed a rapid rise in the development of deterministic and non-deterministic models to estimate human impacts on the environment. An important failing of these models is the difficulty that most people have understanding the results generated by them, the implications to their way of life and also that of future generations. Within the field, the measurement of greenhouse gas emissions (GHG) is one such result. The research described in this paper evaluates the potential of Bayesian Network (BN) models for the task of managing GHG emissions in the British agricultural sector. Case study farms typifying the British agricultural sector were inputted into both, the BN model and CALM, a Carbon accounting tool used by the Country Land and Business Association (CLA) in the UK for the same purpose. Preliminary results show that the BN model provides a better understanding of how the tasks carried out on a farm impact the environment through the generation of GHG emissions. This understanding is achieved by translating the emissions information into their cost in monetary terms using the Shadow Price of Carbon (SPC), something that is not possible using the CALM tool. In this manner, the farming sector should be more inclined to deploy measures for reducing its impact. At the same time, the output of the analysis can be used to generate a business plan that will not have a negative effect on a farm's capital income.

  • de Lusignan S, Liaw ST, Krause P, Curcin V, Vicente MT, Michalakidis G, Agreus L, Leysen P, Shaw N, Mendis K. (2011) 'Key Concepts to Assess the Readiness of Data for International Research: Data Quality, Lineage and Provenance, Extraction and Processing Errors, Traceability, and Curation. Contribution of the IMIA Primary Health Care Informatics Working Group.'. Yearb Med Inform, Germany: 6 (1), pp. 112-120.
  • Marinos A, Krause P. (2010) 'Towards the web of models: A rule-driven RESTful architecture for distributed systems'. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6403 LNCS, pp. 251-258.
    doi: 10.1007/978-3-642-16289-3_21
  • Hierons RM, Bogdanov K, Bowen JP, Cleaveland R, Derrick J, Dick J, Gheorghe M, Harman M, Kapoor K, Krause P, Luettgen G, Simons AJH, Vilkomir S, Woodward MR, Zedan H. (2009) 'Using Formal Specifications to Support Testing'. ASSOC COMPUTING MACHINERY ACM COMPUTING SURVEYS, 41 (2) Article number ARTN 9
    doi: 10.1145/1459352.1459354
  • Razavi A, Moschoyiannis S, Krause P. (2009) 'An open digital environment to support business ecosystems'. Peer-to-Peer Networking and Applications, 2 (4), pp. 367-397.
    doi: 10.1007/s12083-009-0039-5
  • Moschoyiannis S, Krause PJ, Shields MW. (2009) 'A True-Concurrent Interpretation of Behavioural Scenarios'. Elsevier Electronic Notes in Theoretical Computer Science, 203 (7), pp. 3-22.
    doi: 10.1016/j.entcs.2009.03.023
  • Bryant D, Krause P. (2008) 'A review of current defeasible reasoning implementations'. CAMBRIDGE UNIV PRESS KNOWLEDGE ENGINEERING REVIEW, 23 (3), pp. 227-260.
    doi: 10.1017/S0269888908001318
    Full text is available at: http://epubs.surrey.ac.uk/532054/
  • Krause PJ, Fenton N, Neil M, Marsh W, Hearty P, Radlinski L. (2008) 'On the effectiveness of early life cycle defect prediction with Bayesian Nets'. Springer Empirical Software Engineering: an international journal, 13 (5), pp. 499-537.
    doi: 10.1007/s10664-008-9072-x
    Full text is available at: http://epubs.surrey.ac.uk/532055/

    Abstract

    Standard practice in building models in software engineering normally involves three steps: collecting domain knowledge (previous results, expert knowledge); building a skeleton of the model based on step 1 including as yet unknown parameters; estimating the model parameters using historical data. Our experience shows that it is extremely difficult to obtain reliable data of the required granularity, or of the required volume with which we could later generalize our conclusions. Therefore, in searching for a method for building a model we cannot consider methods requiring large volumes of data. This paper discusses an experiment to develop a causal model (Bayesian net) for predicting the number of residual defects that are likely to be found during independent testing or operational usage. The approach supports (1) and (2), does not require (3), yet still makes accurate defect predictions (an R 2 of 0.93 between predicted and actual defects). Since our method does not require detailed domain knowledge it can be applied very early in the process life cycle. The model incorporates a set of quantitative and qualitative factors describing a project and its development process, which are inputs to the model. The model variables, as well as the relationships between them, were identified as part of a major collaborative project. A dataset, elicited from 31 completed software projects in the consumer electronics industry, was gathered using a questionnaire distributed to managers of recent projects. We used this dataset to validate the model by analyzing several popular evaluation measures (R 2, measures based on the relative error and Pred). The validation results also confirm the need for using the qualitative factors in the model. The dataset may be of interest to other researchers evaluating models with similar aims. Based on some typical scenarios we demonstrate how the model can be used for better decision support in operational environments. We also performed sensitivity analysis in which we identified the most influential variables on the number of residual defects. This showed that the project size, scale of distributed communication and the project complexity cause the most of variation in number of defects in our model. We make both the dataset and causal model available for research use.

  • Krause PJ, Fenton N, Neil M, Marsh W, Hearty P, Marquez D, Mishra R. (2007) 'Predicting software defects in varying development lifecycles using Bayesian nets'. Information and Software Technology, 49 (1), pp. 32-43.
    doi: 10.1016/j.infsof.2006.09.001
  • Fenton N, Neil M, Marsh W, Hearty P, Marquez D, Krause P, Mishra R. (2007) 'Predicting software defects in varying development lifecycles using Bayesian nets'. ELSEVIER SCIENCE BV INFORMATION AND SOFTWARE TECHNOLOGY, 49 (1), pp. 32-43.
    doi: 10.1016/j.infsof.2006.09.001
  • Krause PJ, Ambler S, Elvang-Goransson M, Fox J. (1995) 'A Logic of Argumentation for Reasoning Under Unertainty'. Wiley Blackwell Computational Intelligence, 11, pp. 113-131.

Conference papers

  • Moschoyiannis S, Marinos A, Krause P. (2010) 'Generating SQL queries from SBVR rules'. Lecture Notes in Computer Science: Semantic Web Rules, Washington, DC, USA: Rule ML 2010: The 4th International Web Rule Symposium: Research Based and Industry Focused 6403, pp. 128-143.
    doi: 10.1007/978-3-642-16289-3_12
  • Michalakidis G, Kumarapeli P, Ring A, van Vlymen J, Krause P, de Lusignan S. (2010) 'A system for solution-orientated reporting of errors associated with the extraction of routinely collected clinical data for research and quality improvement.'. Studies in Health Technology and Informatics: Proceedings of the 13th World Congress on Medical Informatics, Cape Town, South Africa: MEDINFO 2010 160 (Pt 1), pp. 724-728.
    doi: 10.3233/978-1-60750-588-4-724
  • Krause P, de Lusignan S. (2010) 'Procuring interoperability at the expense of usability: a case study of UK National Programme for IT assurance process.'. Studies in Health Technology and Informatics: Seamless care, safe care: the challenges of interoperability and patient safety in health care: Proceedings of the EFMI Special Topic Conference, Reykjavik, Iceland: EFMI Special Topic Conference 155, pp. 143-149.
    doi: 10.3233/978-1-60750-563-1-143
  • Razavi A, Marinos A, Moschoyiannis S, Krause P. (2009) 'Recovery management in RESTful Interactions'. IEEE Proceedings of 3rd IEEE International Conference on Digital Ecosystems and Technologies, Istanbul, Turkey: DEST 2009, pp. 436-441.
    doi: 10.1109/DEST.2009.5276717
  • Marinos A, Krause P. (2009) 'Using SBVR, REST and Relational Databases to develop Information Systems native to the Digital Ecosystem'. IEEE 2009 3RD IEEE INTERNATIONAL CONFERENCE ON DIGITAL ECOSYSTEMS AND TECHNOLOGIES, Istanbul, TURKEY: 3rd IEEE International Conference on Digital Ecosystems and Technologies, pp. 424-429.
  • Razavi A, Marinos A, Moschoyiannis S, Krause P. (2009) 'RESTful Transactions Supported by the Isolation Theorems'. SPRINGER-VERLAG BERLIN WEB ENGINEERING, PROCEEDINGS, San Sebastian, SPAIN: 9th International Conference on Web Engineering 5648, pp. 394-409.
  • Marinos A, Krause P. (2009) 'What, not How: A generative approach to service composition'. IEEE 2009 3RD IEEE INTERNATIONAL CONFERENCE ON DIGITAL ECOSYSTEMS AND TECHNOLOGIES, Istanbul, TURKEY: 3rd IEEE International Conference on Digital Ecosystems and Technologies, pp. 430-435.
  • Krause PJ, Razavi AR, Moschoyiannis S, Marinos A. (2009) 'Stability and Complexity in Digital Ecosystems'. IEEE 2009 3RD IEEE INTERNATIONAL CONFERENCE ON DIGITAL ECOSYSTEMS AND TECHNOLOGIES, Istanbul, TURKEY: 3rd IEEE International Conference on Digital Ecosystems and Technologies, pp. 200-205.
  • Krause PJ, Marinos A. (2009) 'An SBVR framework for RESTful Web Applications'. Springer Lecture Notes in Computer Science: Rule Interchange and Applications, Las Vegas, Nevada: IRuleML 2009 International Symposium 5858, pp. 144-158.
    doi: 10.1007/978-3-642-04985-9_15
    Full text is available at: http://epubs.surrey.ac.uk/719397/

    Abstract

    We propose a framework that can be used to produce functioning web applications from SBVR models. To achieve this, we begin by discussing the concept of declarative application generation and examining the commonalities between SBVR and the RESTful architectural style of the web. We then show how a relational database schema and RESTful interface can be generated from an SBVR model. In this context, we discuss how SBVR can be used to semantically describe hypermedia on the Web and enhance its evolvability and loose coupling properties. Finally, we show that this system is capable of exhibiting process-like behaviour without requiring explicitly defined processes.

  • Moschoyiannis S, Krause P, Bryant D, McBurney P. (2009) 'Verifiable Protocol Design for Agent Argumentation Dialogues'. IEEE 2009 3RD IEEE INTERNATIONAL CONFERENCE ON DIGITAL ECOSYSTEMS AND TECHNOLOGIES, Istanbul, TURKEY: 3rd IEEE International Conference on Digital Ecosystems and Technologies, pp. 459-464.
  • Marinos A, Razavi A, Moschoyiannis S, Krause P. (2009) 'RETRO: A Consistent and Recoverable RESTful Transaction Model'. IEEE 2009 IEEE INTERNATIONAL CONFERENCE ON WEB SERVICES, VOLS 1 AND 2, Los Angeles, CA: IEEE International Conference on Web Services (ICWS 2009), pp. 181-188.
    doi: 10.1109/ICWS.2009.99
  • Fenton N, Neil M, Marsh W, Hearty P, Radlinski L, Krause P. (2008) 'On the effectiveness of early life cycle defect prediction with Bayesian Nets'. SPRINGER EMPIRICAL SOFTWARE ENGINEERING, Minneapolis, MN: 3rd International Workshop on Predictor Models in Software Engineering (PROMISE 2007) 13 (5), pp. 499-537.
    doi: 10.1007/s10664-008-9072-x
  • Moschoyiannis S, Razavi AR, Zheng YY, Krause P. (2008) 'Long-running Transactions: semantics, schemas, implementation'. IEEE Proceedings of 2nd IEEE International Conference on Digital Ecosystems and Techonologies, Phitsanuloke, Thailand: IEEE DEST 2008, pp. 208-215.
    doi: 10.1109/DEST.2008.4635168
  • Razavi AR, Moschoyiannis SK, Krause PJ. (2008) 'A Scale-free Business Network for Digital Ecosystems'. IEEE 2008 2ND IEEE INTERNATIONAL CONFERENCE ON DIGITAL ECOSYSTEMS AND TECHNOLOGIES, Phitsanuloke, THAILAND: 2nd IEEE International Conference on Digital Ecosystems and Technologies, pp. 196-201.
  • Razavi AR, Malone PJ, Moschoyiannis S, Jennings B, Krause PJ. (2007) 'A distributed transaction and accounting model for digital ecosystem composed services'. IEEE 2007 INAUGURAL IEEE INTERNATIONAL CONFERENCE ON DIGITAL ECOSYSTEMS AND TECHNOLOGIES, Cairns, AUSTRALIA: IEEE International Conference on Digital Ecosystems and Technologies, pp. 215-218.
    Full text is available at: http://epubs.surrey.ac.uk/738703/
  • Razavi AR, Moschoyiannis SK, Krause PJ. (2007) 'A coordination model for distributed transactions in Digital Business EcoSystems'. IEEE 2007 INAUGURAL IEEE INTERNATIONAL CONFERENCE ON DIGITAL ECOSYSTEMS AND TECHNOLOGIES, Cairns, AUSTRALIA: IEEE International Conference on Digital Ecosystems and Technologies, pp. 319-324.
    Full text is available at: http://epubs.surrey.ac.uk/1611/
  • Zheng Y, Zhou J, Krause P. (2007) 'Analysis of BPEL data dependencies'. IEEE COMPUTER SOC SEAA 2007: 33rd EUROMICRO Conference on Software Engineering and Advanced Applications, Proceedings, Lubeck, GERMANY: 33rd EUROMICRO Conference on Software Engineering and Advanced Applications, pp. 351-358.
    Full text is available at: http://epubs.surrey.ac.uk/1985/
  • Zheng Y, Krause P. (2007) 'Automata semantics and analysis of BPEL'. IEEE 2007 INAUGURAL IEEE INTERNATIONAL CONFERENCE ON DIGITAL ECOSYSTEMS AND TECHNOLOGIES, Cairns, AUSTRALIA: IEEE International Conference on Digital Ecosystems and Technologies, pp. 307-312.
  • Zhang F, Povey D, Krause P. (2007) 'Protein Attributes Microtuning System (PAMS): an effective tool to increase protein structure prediction by data purification'. IEEE 2007 INAUGURAL IEEE INTERNATIONAL CONFERENCE ON DIGITAL ECOSYSTEMS AND TECHNOLOGIES, Cairns, AUSTRALIA: IEEE International Conference on Digital Ecosystems and Technologies, pp. 53-58.
  • Zheng Y, Zhou J, Krause P. (2007) 'A model checking based test case generation framework for web services'. IEEE COMPUTER SOC International Conference on Information Technology, Proceedings, Las Vegas, NV: 4th International Conference on Information Technology - New Generations, pp. 715-720.
    Full text is available at: http://epubs.surrey.ac.uk/1988/
  • Razavi AR, Moschoyiannis SK, Krause PJ. (2007) 'Concurrency Control and Recovery Management for Open e-Business Transactions'. IOS PRESS WOTUG-30: COMMUNICATING PROCESS ARCHITECTURES 2007, Univ Surrey, Guildford, ENGLAND: 30th WoTUG Technical Meeting 2007 65, pp. 267-285.
  • Bryant D, Krause PJ, Vreeswijk GAW. (2006) 'Argue tuProlog: A Lightweight Argumentation Engine for Agent Applications'. I O S PRESS COMPUTATIONAL MODELS OF ARGUMENT, Univ Liverpool, Dept Comp Sci, Liverpool, ENGLAND: 1st International Conference on Computational Models of Argument (COMMA) 144, pp. 27-32.
  • Mak L-O, Krause P. (2006) 'Detection & management of concept drift'. IEEE Proceedings of 2006 International Conference on Machine Learning and Cybernetics, Vols 1-7, Dalian, PEOPLES R CHINA: 5th International Conference on Machine Learning and Cybernetics, pp. 3486-3491.
  • Zheng Y, Krause P. (2006) 'Asynchronous semantics and anti-patterns for interacting web services'. IEEE COMPUTER SOC QSIC 2006: Sixth International Conference on Quality Software, Proceedings, Beijing, PEOPLES R CHINA: 6th International Conference on Quality Software, pp. 74-81.
    Full text is available at: http://epubs.surrey.ac.uk/1990/
  • Bryant D, Krause P. (2006) 'An implementation of a lightweight argumentation engine for agent applications'. SPRINGER-VERLAG BERLIN LOGICS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, Liverpool, ENGLAND: 10th European Conference on Logics in Artificial Intelligence 4160, pp. 469-472.
    doi: 10.1007/11853886_39
  • Bryant D, Krause P, Moschoyiannis S. (2006) 'A tool to facilitate agent deliberation'. SPRINGER-VERLAG BERLIN LOGICS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, Liverpool, ENGLAND: 10th European Conference on Logics in Artificial Intelligence 4160, pp. 465-468.
    doi: 10.1007/11853886_38
    Full text is available at: http://epubs.surrey.ac.uk/738708/

Book chapters

  • Razavi A, Krause P, Moschoyiannis S. (2010) 'Digital Ecosystems: challenges and proposed solutions'. in Antonopoulos N, Exarchakos G, Li M, Liotta A (eds.) Handbook of research on P2P and grid systems for service-oriented computing Hersehy, PA : Information Science Reference - Imprint of: IGI Publishing , pp. 1003-1031.

Teaching

COM2025: Web Application Development

COMM013: Agile Web Development with Ruby and Rails

COMM035: Service Oriented Architecture

Departmental Duties

Director of Research

Chair of Academic Misconduct Panel

Chair of Research Management Committee