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Information Systems and Software Engineering

Individuals and organisations alike increasingly rely on the effective functioning of software and information systems. We study how to develop reliable software and information systems, and how these systems influence individuals and organisations. In particular, we investigate the techniques, practices, and tools used to specify, design, develop, deploy, and maintain software. In addition, we examine the interaction between technology and its human and organisational context, including the implications for the use of technologies.

Members

Core Members

Professor Stephen MacDonnell: Dr MacDonnell's topics include Empirical Software Engineering; Software Analytics; Evidence-Based Software Engineering; Software Practices; Software Planning, Estimation and Management; Information Systems Development; Software Forensics)

Dr Sherlock A. Licorish: Dr Licorish's topics include Software Development Methodologies, Software Process Modelling, Software Teams’ Behaviour and Performance, Software Development Tools, Software Requirements Engineering, Empirical Software Engineering, Global Software Development, Open Source Software Development, App Store Mining and Virtual Communities.

Dr Sander Zwanenburg: Dr Zwanenburg's topics include Information technology (IT) addiction, use of IT at work, psychological impact of IT use, experience and performance of IT use, and managerial and strategic implications of IT.

Adjunct Members

Professor Michael Winikoff

Associate Professor Tony Savarimuthu

Dr. Maryam Purvis: Dr Purvis is interested in modelling and investigating the impact of various social structures as well as interaction mechanisms associated with various organizational components which would improve the collective performance and cooperation in the overall social system.

Professor Stephen Cranefield

Selected Publications

  • Whigham, P. A., Owen, C. A., & MacDonell, S. G. (2015). A baseline model for software effort estimation. ACM Transactions on Software Engineering & Methodology, 24(3), 20. doi: 10.1145/2738037
  • Dam, H. K., Egyed, A., Winikoff, M., Reder, A., & Lopez-Herrejon, R. E. (2015). Consistent merging of model versions. Journal of Systems & Software. Advance online publication. doi: 10.1016/j.jss.2015.06.044
  • Licorish, S. A., Lee, C. W., Savarimuthu, B. T. R., Patel, P., & MacDonell, S. G. (2015). They’ll know it when they see it: Analyzing post-release feedback from the android community. Proceedings of the 21st Americas Conference on Information Systems (AMCIS). Retrieved from http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1407&context=amcis2015
  • Licorish, S. A., MacDonell, S. G., & Clear, T. (2015). Analyzing confidentiality and privacy concerns: Insights from Android issue logs. Proceedings of the 19th Evaluation and Assessment in Software Engineering (EASE) International Conference., 18. New York: ACM. doi: 10.1145/2745802.2745819
  • Licorish, S. A., & MacDonell, S. G. (2015). Communication and personality profiles of global software developers. Information & Software Technology. Advance online publication. doi: 10.1016/j.infsof.2015.02.004
  • Felizardo, K. R., Nakagawa, E. Y., MacDonell, S. G., & Maldonado, J. C. (2014). A visual analysis approach to update systematic reviews. Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering., 4. New York: ACM. doi: 10.1145/2601248.2601252
  • Kirk, D., & MacDonell, S. G. (2014). Categorising software contexts. Proceedings of the 20th Americas Conference on Information Systems (AMCIS)., 106999. Association for Information Systems.
  • Kirk, D., & MacDonell, S. G. (2014). Investigating a conceptual construct for software context. Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering (EASE)., 27. New York: ACM. doi: 10.1145/2601248.2601263
  • Licorish, S. A., & MacDonell, S. G. (2014). Understanding the attitudes, knowledge sharing behaviors and task performance of core developers: A longitudinal study. Information & Software Technology. Advance online publication. doi: 10.1016/j.infsof.2014.02.004
  • Licorish, S. A., & MacDonell, S. G. (2014). Personality profiles of global software developers. Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering (EASE)., 45. New York: ACM. doi: 10.1145/2601248.2601265
  • Licorish, S., & MacDonell, S. (2014). Relating IS developers’ attitudes to engagement. Proceedings of the 25th Australasian Conference on Information Systems (ACIS). Retrieved from http://aut.researchgateway.ac.nz/handle/10292/7977
  • Licorish, S. A., & MacDonell, S. G. (2013). Adopting softer approaches in the study of repository data: A comparative analysis. Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering (EASE)., (pp. 240-245). New York: ACM. doi: 10.1145/2460999.2461035
  • Licorish, S. A., & MacDonell, S. G. (2013). How do globally distributed agile teams self-organise? Initial insights from a case study. Proceedings of the 8th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE)., (pp. 157-164). Angers, France: SCITEPRESS. doi: 10.5220/0004437001570164
  • Licorish, S. A., & MacDonell, S. G. (2013). The true role of active communicators: An empirical study of Jazz core developers. Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering (EASE)., (pp. 228-239). New York: ACM. doi: 10.1145/2460999.2461034
  • Licorish, S., & MacDonell, S. (2013). Self-organising roles in agile globally distributed teams. Proceedings of the 24th Australasian Conference on Information Systems (ACIS). Retrieved from http://researchbank.rmit.edu.au/view/rmit:161006
  • Bosu, M. F., & MacDonell, S. G. (2013). Data quality in empirical software engineering: A targeted review. Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering (EASE)., (pp. 171-176). New York: ACM. doi: 10.1145/2460999.2461024
  • McLeod, L., & MacDonell, S.G. (2011) Factors that affect software systems development project outcomes: a survey of research, ACM Computing Surveys 43(4), pp.24-56. doi: 10.1145/1978802.1978803
  • McLeod, L., MacDonell, S.G., & Doolin, B. (2011) Qualitative research on software development: a longitudinal case study methodology, Empirical Software Engineering 16(4), pp.430-459. doi: 10.1007/s10664-010-9153-5
  • Dam, H. K., & Winikoff, M. (2011). An agent-oriented approach to change propagation in software maintenance. Autonomous Agent & Multi-Agent Systems, 23(3), 384-452. doi: 10.1007/s10458-010-9163-0
  • MacDonell, S., Shepperd, M., Kitchenham, B., & Mendes, E. (2010) How reliable are systematic reviews in empirical software engineering? IEEE Transactions on Software Engineering 36(5), pp.676-687. doi: 10.1109/TSE.2010.28
  • Dam, H. K., & Winikoff, M. (2010). Supporting change propagation in UML models. Proceedings of the IEEE International Conference on Software Maintenance (ISCM), (pp. 1-10). IEEE.