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Sherlock A. Licorish
Sherlock A. Licorish
Associate Professor, University of Otago
Bestätigte E-Mail-Adresse bei otago.ac.nz - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Students’ perception of Kahoot!’s influence on teaching and learning
SA Licorish, HE Owen, B Daniel, JL George
Research and Practice in Technology Enhanced Learning 13 (1), 1-23, 2018
7822018
Go Kahoot!” enriching classroom engagement, motivation and learning experience with games
SA Licorish, JL George, HE Owen, B Daniel
Proceedings of the 25th international conference on computers in education …, 2017
1822017
Technical debt and agile software development practices and processes: An industry practitioner survey
J Holvitie, SA Licorish, RO Spínola, S Hyrynsalmi, SG MacDonell, ...
Information and Software Technology 96, 141-160, 2018
1202018
Understanding the attitudes, knowledge sharing behaviors and task performance of core developers: A longitudinal study
SA Licorish, SG MacDonell
Information and Software Technology 56 (12), 1578-1596, 2014
892014
Approaches for prioritizing feature improvements extracted from app reviews
S Keertipati, BTR Savarimuthu, SA Licorish
Proceedings of the 20th international conference on evaluation and …, 2016
872016
What makes agile software development agile?
M Kuhrmann, P Tell, R Hebig, J Klünder, J Münch, O Linssen, D Pfahl, ...
IEEE transactions on software engineering 48 (9), 3523-3539, 2021
852021
Communication and personality profiles of global software developers
SA Licorish, SG MacDonell
Information and Software Technology 64, 113-131, 2015
842015
Supporting agile team composition: A prototype tool for identifying personality (In) compatibilities
S Licorish, A Philpott, SG MacDonell
2009 ICSE Workshop on cooperative and human aspects on software engineering …, 2009
822009
Catching up with method and process practice: An industry-informed baseline for researchers
J Klünder, R Hebig, P Tell, M Kuhrmann, J Nakatumba-Nabende, ...
2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019
692019
A large scale study on how developers discuss code smells and anti-pattern in stack exchange sites
A Tahir, J Dietrich, S Counsell, S Licorish, A Yamashita
Information and Software Technology 125, 106333, 2020
632020
Exploring software developers’ work practices: Task differences, participation, engagement, and speed of task resolution
SA Licorish, SG MacDonell
Information & Management 54 (3), 364-382, 2017
552017
Crowdsourced knowledge on stack overflow: A systematic mapping study
S Meldrum, SA Licorish, BTR Savarimuthu
Proceedings of the 21st International Conference on Evaluation and …, 2017
532017
Can you tell me if it smells? a study on how developers discuss code smells and anti-patterns in stack overflow
A Tahir, A Yamashita, S Licorish, J Dietrich, S Counsell
Proceedings of the 22nd International Conference on Evaluation and …, 2018
522018
Students’ perception of Kahoot!’s influence on teaching and learning. Research and Practice in Technology Enhanced Learning, 13 (1), 1-23
SA Licorish, HE Owen, B Daniel, JL George
512018
On the value of encouraging gender tolerance and inclusiveness in software engineering communities
E Zolduoarrati, SA Licorish
Information and Software Technology 139, 106667, 2021
472021
Game-based student response system: The effectiveness of Kahoot! On junior and senior information science students’ learning
HE Owen, SA Licorish
Journal of Information Technology Education: Research 19, 511-553, 2020
452020
Prioritizing user concerns in app reviews–A study of requests for new features, enhancements and bug fixes
S Malgaonkar, SA Licorish, BTR Savarimuthu
Information and Software Technology 144, 106798, 2022
392022
Understanding stack overflow code quality: A recommendation of caution
S Meldrum, SA Licorish, CA Owen, BTR Savarimuthu
Science of Computer Programming 199, 102516, 2020
372020
Attributes that predict which features to fix: Lessons for app store mining
SA Licorish, BTR Savarimuthu, S Keertipati
Proceedings of the 21st International Conference on Evaluation and …, 2017
372017
Is knee pain information on YouTube videos perceived to be helpful? An analysis of user comments and implications for dissemination on social media
S Meldrum, BTR Savarimuthu, S Licorish, A Tahir, M Bosu, P Jayakaran
Digital health 3, 2055207617698908, 2017
332017
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