At the Search-Based Software Testing workshop, held in conjunction with ICST 2012, I presented a tutorial on how to use statistics as part of the engaging and persuasive argument about your empirical work.
Slides (PDF)

• James R Williams, Simon Poulding, Louis M Rose, Richard F Paige, and Fiona A C Polack
  Identifying Desirable Game Character Behaviours through the Application of Evolutionary Algorithms to Model-Driven Engineering Metamodels,
  Proceedings of Third International Symposium on Search Based Software Engineering (SSBSE 2011), LNCS 6956/2011, 112–126, 2011
  Supplemental material: code and experimental data
• Iain Bate and Simon Poulding,
  Editorial for the special issue on search-based software engineering [editorial],
  Software: Practice and Experience, 41(5) 467–468, April 2011,
  doi:10.1002/spe.1056
• Simon Poulding, John A Clark, and Hélène Waeselynck
  A Principled Evaluation of the Effect of Directed Mutation on Search-Based Statistical Testing,
  Proceedings of 4th International Workshop on Search-Based Software Testing (SBST 2011), held in conjunction with ICST 2011, 184–193
  Winner of Best Paper Award
  Supplemental material: experimental data and source code for SUTs
• Massimiliano Di Penta and Simon Poulding,
  Introduction to the special issue on search based software engineering [editorial],
  Empirical Software Engineering, 16(1) 1–4, February 2011,
  doi:10.1007/s10664-011-9154-z

• Simon Poulding and John A Clark,
  Efficient Software Verification: Statistical Testing Using Automated Search,
  IEEE Transactions on Software Engineering, 36(6) 763–777, 2010,
  doi:10.1109/TSE.2010.24
  Online 'Spotlight Paper' for Nov/Dec 2010 journal issue
  Supplemental material: experimental data and source code for SUTs

• Sion Ll Rhys, Simon Poulding, and John A Clark,
  Using Automated Search to Generate Test Data for Matlab,
  Proceedings of GECCO '09: Genetic and Evolutionary Computation Conference, 1697–1704,
  doi:10.1145/1569901.1570128
• Massimiliano Di Penta and Simon Poulding (Editors),
  Proceedings of the 1st International Symposium on Search Based Software Engineering (SSBSE 2009),
  IEEE CS Digital Library
• David R White and Simon Poulding,
  A Rigorous Evaluation of Crossover and Mutation in Genetic Programming,
  Proceedings of EuroGP 2009: 12th European Conference on Genetic Programming, 220–231, 2009,
  doi:10.1007/978-3-642-01181-8_19
  Supplemental material: experimental data, code, and parameter files

• Jonathan Tate, Iain Bate, Simon Poulding,
  Tuning protocols to improve the energy efficiency of sensornets,
  Proceedings of Fourth UK Embedded Forum, 51–61, 2008
  Preprint (PDF)
• David R White, John Clark, Jeremy Jacob, and Simon M Poulding,
  Searching for Resource-Efficient Programs: Low-Power Pseudorandom Number Generators,
  Proceedings of GECCO '08: Genetic and Evolutionary Computation Conference, 1775–1782, 2008,
  doi:10.1145/1389095.1389437

• Simon Poulding, Paul Emberson, Iain Bate, and John Clark,
  An Efficient Experimental Methodology for Configuring Search-Based Design Algorithms
  Proceedings of HASE '07: 10th IEEE High Assurance Systems Engineering Symposium, 53–62, 2007,
  doi:10.1109/HASE.2007.27
  Preprint (PDF)
• Simon Poulding, Adrian J Charlton, James Donarski, and Julie C Wilson,
  Removal of t(1) noise from metabolomic 2D (1)H-(13)C HSQC NMR spectra by Correlated Trace Denoising,
  Journal of Magnetic Resonance, 189(2) 190–9, 2007,
  doi:10.1016/j.jmr.2007.09.004

• Guest Lectures and Practicals on: EVCO - Evolutionary Computation
  (4th year MEng CSSE and MSc Natural Computation)
  • Practical: MATLAB Global Optimization Toolbox
  • Practical: Practical: Time Series Prediction (Prediction Testing Files: Zip File)
  • Lecture: Empirical Research in EC: Evaluating the Role of Crossover and Mutation in GP
  • Lecture: Testing Software Using Search
  • Lecture: Estimation of Distribution Algorithms

• MBES - Management for Business Enterprise Systems
  (1st year MEng Computer Science with Business Enterprise Systems)
• SES - Enterprise Systems Seminars
  (2nd year MEng Computer Science with Business Enterprise Systems)
• MSO - Management Systems and Organisations
  (MSc Information Technology)
• Guest lectures on EVO - Evolutionary Algorithms
  (4th year MEng CSSE and MSc Natural Computation)
  • Testing Software Using Search
  • Estimation of Distribution Algorithms
• EMP - Empirical Methods
  (MSc Natural Computation, 4th year MEng CSSE, and 4th year MMath Maths/Computer Science)