Sherlock Licorish

2026

Journal - Research Article

Deshapriya, L., Licorish, S. A., & Woodford, B. J. (2026). Understanding warnings generated by PMD and SonarQube, their rules and compliance to established coding standards. Science of Computer Programming, 252, 103470. doi: 10.1016/j.scico.2026.103470

2025

Journal - Research Article

Zolduoarrati, E., Licorish, S. A., & Stanger, N. (2025). Comprehensive predictive analytics for collaborators' answers, code quality, and dropout: Stack overflow case study. Empirical Software Engineering, 30, 147. doi: 10.1007/s10664-025-10692-4

Ismail, F. N., Woodford, B. J., & Licorish, S. A. (2025). Atmospheric modeling for wildfire prediction. Atmosphere, 16, 441. doi: 10.3390/atmos16040441

Licorish, S. A. (2025). Understanding the effect of agile practice quality on software product quality. IEEE Transactions on Software Engineering, 51(2), 650-662. doi: 10.1109/tse.2025.3532502

Zolduoarrati, E., Licorish, S. A., & Stanger, N. (2025). Stack overflow’s hidden nuances: How does zip code define user contribution? Journal of Systems & Software, 223, 112374. doi: 10.1016/j.jss.2025.112374

Zolduoarrati, E., Licorish, S. A., & Grundy, J. (2025). A cross-continental analysis of how regional cues shape top stack overflow contributors. Journal of Systems & Software, 223, 112338. doi: 10.1016/j.jss.2025.112338

Conference Contribution - Published proceedings: Abstract

Owen, H., Licorish, S., Moerenhout, T., & Robertson, K. (2025). AI-assisted injury risk prediction for older New Zealanders: A proposed co-design approach. Proceedings of the New Zealand Association of Gerontology (NZAG) Conference: Ageing Together. (pp. 32). Retrieved from http://gerontology.org.nz

2024

Journal - Research Article

Zolduoarrati, E., Licorish, S. A., & Stanger, N. (2024). Harmonising contributions: Exploring diversity in software engineering through CQA mining on Stack Overflow. ACM Transactions on Software Engineering & Methodology, 33(7), 179. doi: 10.1145/3672453

Ismail, F. N., Woodford, B. J., Licorish, S. A., & Miller, A. D. (2024). An assessment of existing wildfire danger indices in comparison to one-class machine learning models. Natural Hazards, 120, 14837-14868. doi: 10.1007/s11069-024-06738-3

Wimalasooriya, C., Licorish, S. A., Alencar da Costa, D., & MacDonell, S. G. (2024). Just-in-Time crash prediction for mobile apps. Empirical Software Engineering, 29, 68. doi: 10.1007/s10664-024-10455-7

Omondiagbe, O. P., Licorish, S. A., & MacDonell, S. G. (2024). Improving transfer learning for software cross-project defect prediction. Applied Intelligence, 24, 5593-5616. doi: 10.1007/s10489-024-05459-1

Licorish, S. A., Alencar da Costa, D., Zolduoarrati, E., & Grattan, N. (2024). Relating team atmosphere and group dynamics to student software development teams’ performance. Information & Software Technology, 167, 107377. doi: 10.1016/j.infsof.2023.107377

Conference Contribution - Published proceedings: Full paper

Ismail, F. N., Sengupta, A., Woodford, B. J., & Licorish, S. A. (2024). A comparison of one-class versus two-class machine learning models for wildfire prediction in California. In D. Benavides-Prado, S. Erfani, P. Fournier-Viger, Y. L. Boo & Y. S. Koh (Eds.), Data Science and Machine Learning: Proceedings of the 21st Australasian Conference, AusDM 2023 [Communications in Computer and Information Science 1943]. (pp. 239-253). Singapore: Springer. doi: 10.1007/978-981-99-8696-5_17

2023

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

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

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

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

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

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

Conference Contribution - Published proceedings: Abstract

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

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

2022

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.

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

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

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

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

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

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

Conference Contribution - Published proceedings: Full paper

Omondiagbe, O. P., Licorish, S. A., & MacDonell, S. G. (2022). Preventing negative transfer on sentiment analysis in deep transfer learning. In W. Liu & L. Pang (Eds.), Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR) [CEUR Workshop Proceedings: Vol. 3317]. CEUR-WS. Retrieved from https://ceur-ws.org

Licorish, S. A., & Wagner, M. (2022). Dissecting Copy/Delete/Replace/Swap mutations: Insights from a GIN Case Study. In J. E. Fieldsend (Ed.), Proceedings of the Genetics and Evolutionary Computation Conference (GECCO). (pp. 1940-1945). New York, NY: Association for Computing Machinery. doi: 10.1145/3520304.3533970

2021

Chapter in Book - Research

Savarimuthu, B. T. R., Licorish, S. A., Devananda, M., Greenheld, G., Dignum, V., & Dignum, F. (2021). Developers' responses to app review feedback: A study of communication norms in app development. In A. Aler Tubella, S. Cranefield, C. Frantz, F. Meneguzzi & W. Vasconcelos (Eds.), Coordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XIII: COIN 2017 & COINE 2020 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 12298). (pp. 57-75). Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-030-72376-7_4

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

Conference Contribution - Published proceedings: Full paper

Jaakola, M., Polvinen, T., Holvitie, J., Licorish, S. A., & Leppänen, V. (2021). From setting up innovation in a novel context to discovering sustainable business: A framework for short-term events. Proceedings of the 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). (pp. 260-269). IEEE. doi: 10.1109/SEAA53835.2021.00040

2020

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

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

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 Other

Malgaonkar, S., Licorish, S. A., & Savarimuthu, B. T. R. (2020). Understanding requirements prioritisation: Literature survey and critical evaluation. IET Software, 14(6), 607-622. doi: 10.1049/iet-sen.2019.0215

Conference Contribution - Published proceedings: Full paper

Malgaonkar, S., Licorish, S. A., & Savarimuthu, B. T. R. (2020). Towards automated taxonomy generation for grouping app reviews: A preliminary empirical study. Proceedings of the International Conference on the Quality of Information and Communications Technology (QUATIC). (pp. 120-134). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-58793-2_10

2019

Conference Contribution - Published proceedings: Full paper

Ismail, F. N., Woodford, B. J., & Licorish, S. A. (2019). Evaluating the boundaries of big data environments for machine learning. In J. Liu & J. Bailey (Eds.), Advances in artificial intelligence: Lecture notes in artificial intelligence (Vol. 11919). (pp. 253-264). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-35288-2_21

Caires, V. C., Rios, N., Holvitie, J., Leppänen, V., Licorish, S. A., MacDonell, S. G., … Spínola, R. O. (2019). Processos e práticas ágeis sensíveis à dívida técnica: Comparação dos resultados de um survey executadao no Brasil, Finlândia e Nova Zelândia [Agile processes and practices sensitive to technical debt: Comparison of results of a survey executed in Brazil, Finland, and New Zealand]. Proceedings of the 25th Americas Conference on Information Systems (AMCIS). 151731. Retrieved from https://aisel.aisnet.org/amcis2019/spanish_portuguese_latin_america/spanish_portuguese_latin_america/30/

Klünder, J., Hebig, R., Tell, P., Kuhrmann, M., Nakatumba-Nabende, J., Heldal, R., … Licorish, S. A., … MacDonell, S. G. (2019). Catching up with method and process practice: An industry-informed baseline for researchers. Proceedings of the 41st Software Engineering International Conference: Software Engineering in Practice (ICSE-SEIP). (pp. 255-264). IEEE. doi: 10.1109/ICSE-SEIP.2019.00036

Omondiagbe, O. P., Licorish, S. A., & MacDonell, S. G. (2019). Features that predict the acceptability of Java and JavaScript answers on Stack Overflow. Proceedings of the Evaluation and Assessment on Software Engineering (EASE). (pp. 101-110). ACM. doi: 10.1145/3319008.3319024

Working Paper; Discussion Paper; Technical Report

Malgaonkar, S., Lee, C. W., Licorish, S. A., Savarimuthu, B. T. R., & Tahir, A. (2019). Appsent: A tool that analyzes app reviews. arXiv. Retrieved from https://arxiv.org/abs/1907.10191

2018

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

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

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

Conference Contribution - Published proceedings: Full paper

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

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

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

Tell, P., MacDonell, S., & Licorish, S. A. (2018). 3rd workshop on hybrid development approaches in software system development. In M. Kuhrmann, K. Schneider, D. Pfahl, S. Amasaki, M. Ciolkowski, R. Hebig, … S. Küpper (Eds.), Product-Focused Software Process Improvement (PROFES): Lecture notes in computer science (Vol. 11271). (pp. 433-440). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-03673-7_34

Tahir, A., Yamashita, A., Licorish, S., Dietrich, J., & Counsell, S. (2018). Can you tell me if it smells? A study on how developers discuss code smells and anti-patterns in Stack Overflow. Proceedings of the 22nd International Conference on Evaluation & Assessment in Software Engineering (EASE). (pp. 68-78). New York, NY: ACM. doi: 10.1145/3210459.3210466

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 & Assessment in Software Engineering (EASE). (pp. 79-89). ACM. doi: 10.1145/3210459.3210467

Other Research Output

Licorish, S. & Bishop, D. (2018, May). Teaching tips from top teachers. Department of Accountancy & Finance, University of Otago, Dunedin, New Zealand. [Department Seminar].

2017

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

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

Conference Contribution - Published proceedings: Full paper

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

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

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

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

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

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

2016

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

Conference Contribution - Published proceedings: Full paper

Licorish, S. A., Holvitie, J., Hyrynsalmi, S., Leppänen, V., Spínola, R. O., Mendes, T. S., MacDonell, S. G., & Buchan, J. (2016). Adoption and suitability of software development methods and practices. Proceedings of the 23rd Asia-Pacific Software Engineering Conference (APSEC). (pp. 369-372). IEEE. doi: 10.1109/APSEC.2016.062

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/

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

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

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

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

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

2015

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

Conference Contribution - Published proceedings: Full paper

Licorish, S. A., Tahir, A., Bosu, M. F., & MacDonell, S. G. (2015). On satisfying the Android OS community: User feedback still central to developers' portfolios. Proceedings of the 24th Australasian Software Engineering Conference (ASWEC). (pp. 78-87). IEEE. doi: 10.1109/aswec.2015.19

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

Conference Contribution - Published proceedings: Abstract

Su'a, T., Savarimuthu, T. B. R., Licorish, S., & Langlotz, T. (2015). A novel user interface for reviewing mobile apps. In C. Matthewson, M. Taumoepeau, I. Iati, M. Inder, C. Pau & R. Richards (Eds.), Proceedings of the Pacific Postgraduate Symposium: Pacific Voices XII. (pp. 45). Dunedin, New Zealand: Pacific Islands Centre, University of Otago. [Abstract]

2014

Journal - Research Article

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

Conference Contribution - Published proceedings: Full paper

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. (2014). Combining text mining and visualization techniques to study teams' behavioral processes. Proceedings of the 4th Workshop on Mining Unstructured Data (MUD). (pp. 16-20). IEEE. doi: 10.1109/MUD.2014.10

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

2013

Conference Contribution - Published proceedings: Full paper

Licorish, S. A., & MacDonell, S. G. (2013). Differences in Jazz project leaders' competencies and behaviors: A preliminary empirical investigation. Proceedings of the 6th Cooperative & Human Aspects of Software Engineering (CHASE) International Workshop. IEEE. doi: 10.1109/CHASE.2013.6614725

Licorish, S. A., & MacDonell, S. G. (2013). What can developers' messages tell us? A psycholinguistic analysis of Jazz teams' attitudes and behavior patterns. Proceedings of the 22nd Australian Software Engineering Conference (ASWEC). (pp. 107-116). IEEE. doi: 10.1109/ASWEC.2013.22

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

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). 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). 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

Awarded Doctoral Degree

Licorish, S. A. (2013). Collaboration patterns of successful globally distributed agile software teams: The role of core developers (PhD). Auckland University of Technology, Auckland, New Zealand. Retrieved from http://hdl.handle.net/10292/5973

2012

Conference Contribution - Published proceedings: Full paper

Licorish, S. A., & MacDonell, S. G. (2012). What affects team behavior? Preliminary linguistic analysis of communications in the Jazz repository. Proceedings of the 5th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE). (pp. 83-89). IEEE. doi: 10.1109/CHASE.2012.6223029

2009

Conference Contribution - Published proceedings: Full paper

Licorish, S., Philpott, A., & MacDonell, S. G. (2009). A prototype tool to support extended team collaboration in agile project feature management. Proceedings of the International Conference on Software Engineering Theory and Practice (SETP). (pp. 105-112). [Full Paper]

Licorish, S., Philpott, A., & MacDonell, S. G. (2009). Supporting agile team composition: A prototype tool for identifying personality (in)compatibilities. Proceedings of the ICSE Workshop on Cooperative and Human Aspects on Software Engineering (CHASE). (pp. 66-73). IEEE. doi: 10.1109/CHASE.2009.5071413