2024
Journal - Research Article
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. Advance online publication. 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