Staff profile

• 2010: Invited Participant: SPSD Workshop: I was an invited participant at the workshop on "Studying Professional Software Design" (SPSD), sponsored by the National Science Foundation (NSF) and held at the University of California, Irvine, in February 2010
• 2010: Invited Keynote Presentation: ECOOP 2010: Presented an invited keynote talk on the theme "From Advocacy to Evidence: A Discipline in Transition" at ECOOP 2010 (European Conference on Object Oriented Programming), Maribor, Slovenia, June 2010.
• 2006: Conference Keynote: I was a keynote speaker at the IEEE-sponsored 19th Conference on Software Engineering Education and Training, Oahu, Hawaii, 2006.
• 2004: IEEE-CS/ACM Working Group: I represented the British Computer Society as a member of the IEEE-CS/ACM working group that developed the SE2004 curriculum guidelines for teaching undergraduate software engineering programmes. Published by IEEE Computer Society Press as "Software Engineering 2004: Curriculum Guidelines for Undergraduate Degree Programs in Software Engineering"
• 1997: EPSRC College: I have been a member of the EPSRC College since its inception in 1997, have reviewed extensively and have taken part in a number of award panels.

Authored book

• Budgen, D. (2020). Software Design: Creating Solutions for Ill-Structured Problems. (3rd ed.). CRC Press
• Kitchenham, B., Budgen, D., & Brereton, P. (2015). Evidence-Based Software Engineering and Systematic Reviews. CRC Press

Chapter in book

• Budgen, D. (2016). Aggregating empirical evidence for more trustworthy decisions. In T. Zimmerman, L. Williams, & T. Menzies (Eds.), Perspectives on data science for software engineering (181-186). Morgan Kaufmann. https://doi.org/10.1016/b978-0-12-804206-9.00034-9
• Budgen, D., & Kitchenham, B. (2014). Empirical Software Engineering. In T. Gonzalez, J. Diaz-Herrera, & A. Tucker (Eds.), Computing Handbook (78-1 - 78-13). (3rd). CRC Press
• Budgen, D., & Brereton, P. (2014). Evidence-Informed Software Engineering and the Systematic Literature Review. In T. Gonzalez, J. Diaz-Herrera, & A. Tucker (Eds.), Computing Handbook (77-1 - 77-14). (3rd). CRC Press

Conference Paper

• Alhassan, Z., Budgen, D., Alessa, A., Alshammari, R., Daghstani, T., & Al Moubayed, N. (2019, September). Collaborative Denoising Autoencoder for High Glycated Haemoglobin Prediction. Presented at 28th International Conference on Artificial Neural Networks (ICANN2019), Munich, Germany
• Sheikh, A., Munro, M., & Budgen, D. (2019, December). Cost and Effect of Using Scheduling Security Model in a Cloud Environment. Presented at 6th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud 2019), Paris, France
• Alhassan, Z., McGough, S., Alshammari, R., Daghstani, T., Budgen, D., & Al Moubayed, N. (2018, October). Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data using Deep Learning Models. Presented at 27th International Conference on Artificial Neural Networks (ICANN)., Rhodes, Greece
• Sheikh, A., Munro, M., & Budgen, D. (2018, December). SSM: Scheduling Security Model for a Cloud Environment. Presented at 2nd International Conference on Cloud and Big Data Computing (ICCBDC), Barcelona, Spain
• Alhassan, Z., McGough, A. S., Alshammari, R., Daghstani, T., Budgen, D., & Al Moubayed, N. (2018, December). Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data. Presented at IEEE 17th International Conference on Machine Learning and Applications (ICMLA 2018)., Orlando, Fl, USA
• Budgen, D. (2015, July). What Do We Know and How Well Do We Know It? Current Knowledge about Software Engineering Practices. Presented at 10th International Joint Conference on Software Technologies (ICSOFT), Colmar, France
• Budgen, D., Kitchenham, B., Charters, S., Gibbs, S., Pohthong, A., Keung, J., & Brereton, P. (2013, October). Lessons from Conducting a Distributed Quasi-Experiment. Presented at 2013 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), Baltimore, USA
• Kitchenham, B., Brereton, P., & Budgen, D. (2010, December). The Educational Value of Mapping Studies of Software Engineering Literature. Presented at 32nd International Conference on Software Engineering (ICSE 2010) ACM Press, Cape Town, South Africa
• Kitchenham, B., Brereton, P., Turner, M., Niazi, M., Linkman, S., Pretorius, R., & Budgen, D. (2009, October). The Impact of Limited Search Procedures for Systematic Literature Reviews: A Participant-Observer Case Study. Presented at Third International Symposium on Empirical Software Engineering and Measurement, Florida, USA
• Budgen, D., & Zhang, C. (2009, April). Preliminary reporting guidelines for experience papers. Presented at 13th International Conference on Evaluation and Assessment in Software Engineering (EASE 2009)., Durham, England
• Charters, S., Budgen, D., Turner, M., Kitchenham, B., Brereton, P., & Linkman, S. (2009, December). Objectivity in Research: Challenges from the Evidence-Based Paradigm. Presented at 20th Australian Software Engineering Conference, ASWEC 2009

Journal Article

• Kitchenham, B. A., Madeyski, L., & Budgen, D. (2023). SEGRESS: Software Engineering Guidelines for REporting Secondary Studies. IEEE Transactions on Software Engineering, 49(3), 1273 -1298. https://doi.org/10.1109/tse.2022.3174092
• Kitchenham, B., Madeyski, L., & Budgen, D. (2023). How Should Software Engineering Secondary Studies Include Grey Material?. IEEE Transactions on Software Engineering, 49(2), 872-882. https://doi.org/10.1109/tse.2022.3165938
• Budgen, D., & Brereton, P. (2022). Short communication: Evolution of secondary studies in software engineering. Information and Software Technology, 145(106840), Article 106840. https://doi.org/10.1016/j.infsof.2022.106840
• Alhassan, Z., Watson, M., Budgen, D., Alshammari, R., Alessa, A., & Al Moubayed, N. (2021). Improving Current Glycated Hemoglobin Prediction in Adults: Use of Machine Learning Algorithms with Electronic Health Records. JMIR Medical Informatics, 9(5), Article e25237. https://doi.org/10.2196/25237
• Alhassan, Z., Budgen, D., Alshammari, R., & Moubayed, N. A. (2020). Predicting Current Glycated Hemoglobin Levels in Adults From Electronic Health Records: Validation of Multiple Logistic Regression Algorithm. Journal of Medical Internet Research, 8(7), Article e18963. https://doi.org/10.2196/18963
• Sheikh, A., Munro, M., & Budgen, D. (2020). A Service Scheduling Security Model for a Cloud Environment. International Journal of Advanced Computer Science and Applications, 11(5), Article 1. https://doi.org/10.14569/ijacsa.2020.0110501
• Budgen, D., Brereton, P., Williams, N., & Drummond, S. (2020). What support do systematic reviews provide for evidence-informed teaching about software engineering practice?. E-Informatica, 14(1), 7-60. https://doi.org/10.37190/e-inf200101
• Altuwaijri, E., Budgen, D., & Maxwell, S. (2019). Factors impeding the effective utilisation of an electronic patient report form during handover from an ambulance to an emergency department. Health Informatics Journal, 25(4), 1705-1721. https://doi.org/10.1177/1460458218797984
• Sheikh, A., Munro, M., & Budgen, D. (2019). Evaluating a Cloud Service using Scheduling Security Model (SSM). International Journal of Advanced Computer Science and Applications, 10(10), 525-532. https://doi.org/10.14569/ijacsa.2019.0101069
• Sheikh, A., Munro, M., & Budgen, D. (2019). Systematic Literature Review (SLR) of Resource Scheduling and Security in Cloud Computing. International Journal of Advanced Computer Science and Applications, 10(4), 35-44. https://doi.org/10.14569/ijacsa.2019.0100404
• Budgen, D., Brereton, P., Drummond, S., & Williams, N. (2018). Reporting Systematic Reviews: Some Lessons from a Tertiary Study. Information and Software Technology, 95, 62-74. https://doi.org/10.1016/j.infsof.2017.10.017
• Budgen, D., Brereton, P., Williams, N., & Drummond, S. (2018). The contribution that empirical studies performed in industry make to the findings of systematic reviews: A tertiary study. Information and Software Technology, 94, 234-244. https://doi.org/10.1016/j.infsof.2017.10.012
• Anjum, M., & Budgen, D. (2017). An investigation of modelling and design for software service applications. PLoS ONE, 12(5), Article e0176936. https://doi.org/10.1371/journal.pone.0176936
• Kitchenham, B., Madeyski, L., Budgen, D., Keung, J., Brereton, P., Charters, S., Gibbs, S., & Pohthong, A. (2016). Robust Statistical Methods for Empirical Software Engineering. Empirical Software Engineering, 22(2), 579-630. https://doi.org/10.1007/s10664-016-9437-5
• Berry, J., Budgen, D., & Holliman, N. (2015). Evaluating subjective impressions of quality controlled 3D films on large and small screens. Journal of display technology, 11(11), 927-938. https://doi.org/10.1109/jdt.2014.2384531
• Kitchenham, B., Sjoberg, D., Dyba, T., Brereton, P., Budgen, D., Host, M., & Runeson, P. (2013). Trends in the quality of human-centric software engineering experiments--a quasi-experiment. IEEE Transactions on Software Engineering, 39(7), 1002-1017. https://doi.org/10.1109/tse.2012.76
• Zhang, C., & Budgen, D. (2013). A survey of experienced user perceptions about software design patterns. Information and Software Technology, 55(5), 822-835. https://doi.org/10.1016/j.infsof.2012.11.003
• Zhang, C., & Budgen, D. (2012). What Do We Know About the Effectiveness of Software Design Patterns?. IEEE Transactions on Software Engineering, 38(5), 1213-1231. https://doi.org/10.1109/tse.2011.79
• Kitchenham, B., Sjoberg, D., Dyba, T., Pfahl, D., Brereton, P., Budgen, D., Host, M., & Runeson, P. (2012). Evaluating the quality of software engineering experiments--three empirical studies. Information and Software Technology, 54(8), 804-819. https://doi.org/10.1016/j.infsof.2011.11.008
• Budgen, D., Burn, A. J., & Kitchenham, B. (2011). Reporting computing projects through structured abstracts: a quasi-experiment. Empirical Software Engineering, 16(2), 244-277. https://doi.org/10.1007/s10664-010-9139-3
• Kitchenham Barbara, A., Budgen, D., & Pearl, B. O. (2011). Using mapping studies as the basis for further research -- A participant-observer case study. Information and Software Technology, 53(4), 638-651. https://doi.org/10.1016/j.infsof.2010.12.011
• Budgen, D., Burn, A., Brereton, O., Kitchenham, B., & Pretorius, R. (2011). Empirical evidence about the UML: a systematic literature review. Software: Practice and Experience, 41(4), 363-392. https://doi.org/10.1002/spe.1009
• Kitchenham, B. A., Brereton, P., Turner, M., Niazi, M. K., Linkman, S., Pretorius, R., & Budgen, D. (2010). Refining the systematic literature review process--two participant-observer case studies. Empirical Software Engineering, 15(6), 618-653. https://doi.org/10.1007/s10664-010-9134-8
• Kitchenham, B., Pretorius, R., Budgen, D., Pearl Brereton, O., Turner, M., Niazi, M., & Linkman, S. (2010). Systematic Literature Reviews in Software Engineering -- A Tertiary Study. Information and Software Technology, 52(8), 792-805
• Turner, M., Kitchenham, B., Brereton, P., Charters, S., & Budgen, D. (2010). Does the Technology Acceptance Model predict Actual Use? A Systematic Literature Review. Information and Software Technology, 52(5), 463-479. https://doi.org/10.1016/j.infsof.2009.11.005
• Budgen, D., Bailey, J., Turner, M., Kitchenham, B., Brereton, P., & Charters, S. (2009). Cross-domain investigation of empirical practices. IET Software, 3(5), 410-421. https://doi.org/10.1049/iet-sen.2008.0106
• Budgen, D., Kitchenham, B., Brereton, P., Turner, M., Charters, S., & Linkman, S. (2009). Employing the Evidence-Based Paradigm for Technology-related Decision Making. Evidence and Policy, 4(2), 149-169
• Kitchenham, B., Brereton, O. P., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2009). Systematic Literature Reviews in Software Engineering: A Systematic Literature Review. Information and Software Technology, 51(1), 7-15. https://doi.org/10.1016/j.infsof.2008.09.009
• Budgen, D., Kitchenham, B. A., Charters, S., Turner, M., Brereton, P., & Linkman, S. (2008). Presenting software engineering results using structured abstracts: A randomised experiment. Empirical Software Engineering, 13(4), 435-468. https://doi.org/10.1007/s10664-008-9075-7
• Brereton, P., Kitchenham, B. A., Budgen, D., Turner, M., & Khalil, M. (2007). Lessons from applying the systematic literature review process within the software engineering domain. Journal of Systems and Software, 80(4), 571-583. https://doi.org/10.1016/j.jss.2006.07.009
• Martyn, R., & Budgen, D. (2005). The application of use cases in systems analysis and design specification. Information and Software Technology, 47(9), 623-641. https://doi.org/10.1016/j.infsof.2004.11.003
• Budgen, D., & Thomson, M. (2003). CASE tool evaluation : experiences from an empirical study. Journal of Systems and Software, 67(2), 55-75. https://doi.org/10.1016/s0164-1212%2802%2900088-2