Sherlock Licorish, Our people, Department of Information Science, University of Otago, New Zealand

BSc(UoG), MSc, PhD(AUT), MIITP

Position: Senior Lecturer
Room: 7.03, Otago Business School Bldg
Phone: +64 3 479 8319
Email: sherlock.licorish@otago.ac.nz
Web page: http://nz.linkedin.com/in/sherlocklicorish
Supervising: Saurabh Malgaonkar, Elijah Zoldouarrati
Co-supervising: Priyanka Patel, Nuzla Ismail
Papers: 2019 S1: INFO302, INFO310
2019 S2: INFO202, INFO301
Research group: Information Systems and Software Engineering

Dr Sherlock Licorish is a Senior Lecturer whose current research focuses on:

Modelling the software development process and evaluating the use of software methodologies, and particularly agile approaches (sample paper).
Exploring and evaluating software teams’ behaviour and performance under various conditions, or in addressing various forms of software activities (e.g., resolving defects or building new features, gathering software requirements, or performing software maintenance tasks) (sample paper).
The development and provision of software tools to aid software developers and enhance end-users’ involvement in the feedback processes (sample paper). Dr Licorish is also interested in topics considered under market-driven (and crowd-sourced) requirements engineering (sample paper).
Empirical software engineering and analytics, covering global software development (sample paper), open source software (OSS) development and virtual communities (sample paper).

Dr 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.

Dr Licorish serves as a reviewer for several top conferences and journals.

Publications

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

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

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

Lotter, A., Licorish, S. A., Savarimuthu, B. T. R., & Meldrum, S. (2018). Code reuse in stack overflow and popular open source Java projects. Proceedings of the 25th Australasian Software Engineering Conference (ASWEC). (pp. 141-150). IEEE. doi: 10.1109/ASWEC.2018.00027

Licorish, S. A., Zolduoarrati, E., & Stanger, N. (2018). Linking user requests, developer responses and code changes: Android OS case study. Proceedings of the 22nd International Conference on Evaluation and Assessment in Software Engineering. (pp. 79-89). ACM. doi: 10.1145/3210459.3210467

Journal - Research Article
Conference Contribution - Published proceedings: Full paper

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

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

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

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

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, 56(12), 1578-1596. doi: 10.1016/j.infsof.2014.02.004

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Conference Contribution - Published proceedings: Full paper

Greenheld, G., Savarimuthu, B. T. R., & Licorish, S. A. (2018). Automating developers' responses to app reviews. Proceedings of the 25th Australasian Software Engineering Conference (ASWEC). (pp. 66-70). IEEE. doi: 10.1109/ASWEC.2018.00017

Yasir, M., Michael, K., Savarimuthu, B. T. R., & Licorish, S. A. (2018). Formal in the informal: A multi-level analysis of core python developers' tweets. Proceedings of the 25th Australasian Software Engineering Conference (ASWEC). (pp. 151-160). IEEE. doi: 10.1109/ASWEC.2018.00028

Diebold, P., Galster, M., Rainer, A., & Licorish, S. A. (2017). Interactive posters: An alternative to collect practitioners' experience. Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering (EASE). (pp. 230-235). New York, NY: ACM. doi: 10.1145/3084226.3084272

Licorish, S. A., Savarimuthu, B. T. R., & Keertipati, S. (2017). Attributes that predict which features to fix: Lessons for App Store mining. Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering (EASE). (pp. 108-117). New York, NY: ACM. doi: 10.1145/3084226.3084246

Su'a, T., Licorish, S. A., Savarimuthu, B. T. R., & Langlotz, T. (2017). QuickReview: A novel data-driven mobile user interface for reporting problematic app features. Proceedings of the 22nd International Conference on Intelligent User Interfaces (IUI). (pp. 517-522). New York, NY: ACM. doi: 10.1145/3025171.3025178

Licorish, S. A., George, J. L., Owen, H. E., & Daniel, B. (2017). “Go Kahoot!” enriching classroom engagement, motivation and learning experience with games. Proceedings of the 25th International Conference on Computers in Education (ICCE). (pp. 755-764). Retrieved from http://icce2017.canterbury.ac.nz

Sharma, P., Savarimuthu, B. T. R., Stanger, N., Licorish, S. A., & Rainer, A. (2017). Investigating developers' email discussions during decision-making in Python language evolution. Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering (EASE). (pp. 286-291). New York, NY: ACM. doi: 10.1145/3084226.3084271

Meldrum, S., Licorish, S. A., & Savarimuthu, B. T. R. (2017). Crowdsourced knowledge on stack overflow: A systematic mapping study. Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering (EASE). (pp. 180-185). New York, NY: ACM. doi: 10.1145/3084226.3084267

Holvitie, J., Licorish, S. A., Martini, A., & Leppänen, V. (2016). Co-existence of the 'technical debt' and 'software legacy' concepts. In H. Lichter, K. Fögen, T. Sunetnanta, T. Anwar, A. Yamashita, L. Moonen, … A. Sureka (Eds.), Proceedings of the 4th International Workshop on Quantitative Approaches to Software Quality (QuASoQ) and the 1st International Workshop on Technical Debt Analysis (TDA). (pp. 80-83). Retrieved from http://ceur-ws.org/Vol-1771/

Keertipati, S., Licorish, S., & Savarimuthu, B. T. R. (2016). Exploring decision-making processes in Python. Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering (EASE). 43. New York: ACM. doi: 10.1145/2915970.2915993

Savarimuthu, T., Dam, H. K., Licorish, S. A., Keertipati, S., Avery, D., & Ghose, A. K. (2016). Process compliance in open source software development: A study of Python Enhancement Proposals (PEPS). Proceedings of the 24th European Conference on Information Systems (ECIS). 48. Retrieved from http://aisel.aisnet.org/ecis2016_rp/48

Lee, C. W., Licorish, S. A., Savarimuthu, B. T. R., & MacDonell, S. G. (2016). Augmenting text mining approaches with social network analysis to understand the complex relationships among users’ requests: A case study of the android operating system. In T. X. Bui & R. H. Sprague (Eds.), Proceedings of the 49th Hawaii International Conference on System Sciences (HICSS). (pp. 1144-1153). IEEE. doi: 10.1109/HICSS.2016.145

Holvitie, J., Licorish, S. A., & Leppänen, V. (2016). Modelling propagation of technical debt. Proceedings of the 42nd Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA). (pp. 54-58). IEEE. doi: 10.1109/SEAA.2016.53

Patel, P., Licorish, S., Savarimuthu, B. T. R., & MacDonell, S. (2016). Studying expectation violations in socio-technical systems: A case study of the mobile app community. Proceedings of the 24th European Conference on Information Systems (ECIS). 14. Retrieved from http://aisel.aisnet.org/ecis2016_rp/14

Keertipati, S., Savarimuthu, B. T. R., & Licorish, S. A. (2016). Approaches for prioritizing feature improvements extracted from app reviews. Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering (EASE). 33. New York: ACM. doi: 10.1145/2915970.2916003

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