Associate Professor Licorish's analytics research involves the use of data mining, data visualization, statistical analysis and other quantitative methods (e.g. social network analysis, linguistic and sentiment analysis, natural language processing (NLP) and probabilistic modelling techniques).
He has also used qualitative methods in his research, including qualitative forms of content analysis and dilemma analysis. These techniques (both quantitative and qualitative) are often applied to large repositories and software artefacts.
Associate Professor Licorish serves as a reviewer for several top conferences and journals.
Associate Professor Licorish has been the recipient of a Supervisor Award.
Omondiagbe, O. P., Lilburne, L. R., Licorish, S. A., & MacDonell, S. G. (2023). Soil texture prediction with automated deep convolutional neural networks and population-based learning.
Geoderma,
436, 116521.
doi: 10.1016/j.geoderma.2023.116521
Journal - Research Article
Alencar da Costa, D., Grattan, N., Stanger, N., & Licorish, S. A. (2023). Studying the characteristics of SQL-related development tasks: An empirical study.
Empirical Software Engineering,
28, 69.
doi: 10.1007/s10664-023-10295-x
Journal - Research Article
Karetai, M., Mann, S., Guruge, D. D., Licorish, S., & Clear, A. (2023). Decolonising computer science education: A global perspective.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education (SIGCSE) (Vol. 1). (pp. 1097-1102). New York, NY: ACM.
doi: 10.1145/3545945.3569870
Conference Contribution - Published proceedings: Abstract
Karetai, M., Mann, S., Guruge, D. D., Licorish, S., & Clear, A. (2023). Social dreaming together: Envisioning decolonised computer science education.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education (SIGCSE) (Vol. 2). (pp. 1224-1225). New York, NY: ACM.
doi: 10.1145/3545947.3569597
Conference Contribution - Published proceedings: Abstract
Zolduoarrati, E., Licorish, S. A., & Stanger, N. (2023). Secondary studies on human aspects in software engineering: A tertiary study.
Journal of Systems & Software,
200, 111654.
doi: 10.1016/j.jss.2023.111654
Journal - Research Article
Alencar da Costa, D., Grattan, N., Stanger, N., & Licorish, S. A. (2023). Studying the characteristics of SQL-related development tasks: An empirical study.
Empirical Software Engineering,
28, 69.
doi: 10.1007/s10664-023-10295-x
Journal - Research Article
Kent, S., Houghton, L., & Licorish, S. (2023). Towards an understanding of the relationship between institutional theory, affective events theory, negative discrete emotions, and the development of feral systems when using human resource information systems.
Computers in Human Behavior Reports,
9, 100264.
doi: 10.1016/j.chbr.2022.100264
Journal - Research Article
Ndukwe, I. G., Licorish, S. A., & MacDonell, S. G. (2023). Perceptions on the utility of community question and answer websites like Stack Overflow to software developers.
IEEE Transactions on Software Engineering,
49(4), 2413-2425.
doi: 10.1109/TSE.2022.3220236
Journal - Research Article
Ndukwe, I. G., Licorish, S. A., Tahir, A., & MacDonell, S. G. (2023). How have views on software quality differed over time? Research and practice viewpoints.
Journal of Systems & Software,
195, 111524.
doi: 10.1016/j.jss.2022.111524
Journal - Research Article
Omondiagbe, O. P., Lilburne, L. R., Licorish, S. A., & MacDonell, S. G. (2023). Soil texture prediction with automated deep convolutional neural networks and population-based learning.
Geoderma,
436, 116521.
doi: 10.1016/j.geoderma.2023.116521
Journal - Research Article
Zolduoarrati, E., Licorish, S. A., & Stanger, N. (2023). Secondary studies on human aspects in software engineering: A tertiary study.
Journal of Systems & Software,
200, 111654.
doi: 10.1016/j.jss.2023.111654
Journal - Research Article
Kuhrmann, M., Tell, P., Hebig, R., Klünder, J., Münch, J., Linssen, O., … Licorish, S. A., … Richardson, I. (2022). What makes agile software development agile?
IEEE Transactions on Software Engineering,
48(9), 3523-3539.
doi: 10.1109/tse.2021.3099532
Journal - Research Article
Licorish, S. A., & Lötter, A. L. J. (2022). When does Kahoot! provide most value for classroom dynamics, engagement, and motivation?: IS students’ and lecturers’ perceptions.
Journal of Information Systems Education,
33(3), 245-260.
Journal - Research Article
Licorish, S., Galster, M., Kapitsaki, G. M., & Tahir, A. (2022). Understanding students’ software development projects: Effort, performance, satisfaction, skills and their relation to the adequacy of outcomes developed.
Journal of Systems & Software,
186, 111156.
doi: 10.1016/j.jss.2021.111156
Journal - Research Article
Malgaonkar, S., Licorish, S. A., & Savarimuthu, B. T. R. (2022). Automatically generating taxonomy for grouping app reviews: A study of three apps.
Software Quality Journal,
30, 483-512.
doi: 10.1007/s11219-021-09570-1
Journal - Research Article
Malgaonkar, S., Licorish, S. A., & Savarimuthu, B. T. R. (2022). Prioritizing user concerns in app reviews: A study of requests for new features, enhancements and bug fixes.
Information & Software Technology,
144, 106798.
doi: 10.1016/j.infsof.2021.106798
Journal - Research Article
Wimalasooriya, C., Licorish, S. A., Alencar da Costa, D., & MacDonell, S. G. (2022). A systematic mapping study addressing the reliability of mobile applications: The need to move beyond testing reliability.
Journal of Systems & Software,
186, 111166.
doi: 10.1016/j.jss.2021.111166
Journal - Research Article
Zolduoarrati, E., Licorish, S. A., & Stanger, N. (2022). Impact of individualism and collectivism cultural profiles on the behaviour of software developers: A study of stack overflow.
Journal of Systems & Software,
192, 111427.
doi: 10.1016/j.jss.2022.111427
Journal - Research Article
Zolduoarrati, E., & Licorish, S. A. (2021). On the value of encouraging gender tolerance and inclusiveness in software engineering communities.
Information & Software Technology,
139, 106667.
doi: 10.1016/j.infsof.2021.106667
Journal - Research Article
Meldrum, S., Licorish, S. A., Owen, C. A., & Savarimuthu, B. T. R. (2020). Understanding stack overflow code quality: A recommendation of caution.
Science of Computer Programming,
199, 102516.
doi: 10.1016/j.scico.2020.102516
Journal - Research Article
Owen, H. E., & Licorish, S. A. (2020). Game-based student response system: The effectiveness of Kahoot! on junior and senior information science students' learning.
Journal of Information Technology Education: Research,
19, 511-553.
doi: 10.28945/4608
Journal - Research Article
Tahir, A., Dietrich, J., Counsell, S., Licorish, S., & Yamashita, A. (2020). A large scale study on how developers discuss code smells and anti-pattern in Stack Exchange sites.
Information & Software Technology,
125, 106333.
doi: 10.1016/j.infsof.2020.106333
Journal - Research Article
Holvitie, J., Licorish, S. A., Spínola, R. O., Hyrynsalmi, S., MacDonell, S. G., Mendes, T. S., … Leppänen, V. (2018). Technical debt and agile software development practices and processes: An industry practitioner survey.
Information & Software Technology,
96, 141-160.
doi: 10.1016/j.infsof.2017.11.015
Journal - Research Article
Licorish, S. A., & MacDonell, S. G. (2018). Exploring the links between software development task type, team attitudes and task completion performance: Insights from the Jazz repository.
Information & Software Technology,
97, 10-25.
doi: 10.1016/j.infsof.2017.12.005
Journal - Research Article
Licorish, S. A., Owen, H. E., Daniel, B., & George, J. L. (2018). Students’ perception of Kahoot!’s influence on teaching and learning.
Research & Practice in Technology Enhanced Learning,
13, 9.
doi: 10.1186/s41039-018-0078-8
Journal - Research Article
Licorish, S. A., & MacDonell, S. G. (2017). Exploring software developers’ work practices: Task differences, participation, engagement, and speed of task resolution.
Information & Management,
54(3), 364-382.
doi: 10.1016/j.im.2016.09.005
Journal - Research Article
Meldrum, S., Savarimuthu, B. T. R., Licorish, S., Tahir, A., Bosu, M., & Jayakaran, P. (2017). Is knee pain information on YouTube videos perceived to be helpful? An analysis of user comments and implications for dissemination on social media.
Digital Health,
3.
doi: 10.1177/2055207617698908
Journal - Research Article
Licorish, S. A. (2016). Exploring the prevalence and evolution of android concerns: A community viewpoint.
Journal of Software,
11(9), 848-869.
doi: 10.17706/jsw.11.9.848-869
Journal - Research Article
Licorish, S. A., & MacDonell, S. G. (2015). Communication and personality profiles of global software developers.
Information & Software Technology,
64, 113-131.
doi: 10.1016/j.infsof.2015.02.004
Journal - Research Article