Sherlock A. Licorish

Sherlock A. Licorish

University of Otago

H-index: 22

Oceania-New Zealand

About Sherlock A. Licorish

Sherlock A. Licorish, With an exceptional h-index of 22 and a recent h-index of 20 (since 2020), a distinguished researcher at University of Otago, specializes in the field of Software Engineering, Information Systems Development.

His recent articles reflect a diverse array of research interests and contributions to the field:

Improving transfer learning for software cross-project defect prediction

Relating team atmosphere and group dynamics to student software development teams’ performance

Towards an understanding of the relationship between institutional theory, affective events theory, negative discrete emotions, and the development of feral systems when using …

An Assessment of Existing Wildfire Danger Indices in Comparison to One-class Machine Learning Models

How have views on Software Quality differed over time? Research and practice viewpoints

Soil texture prediction with automated deep convolutional neural networks and population-based learning

A Comparison of One-Class Versus Two-Class Machine Learning Models for Wildfire Prediction in California

Secondary studies on human aspects in software engineering: A tertiary study

Sherlock A. Licorish Information

University

Position

Senior Lecturer

Citations(all)

2140

Citations(since 2020)

1780

Cited By

894

hIndex(all)

22

hIndex(since 2020)

20

i10Index(all)

42

i10Index(since 2020)

33

Email

University Profile Page

University of Otago

Google Scholar

View Google Scholar Profile

Sherlock A. Licorish Skills & Research Interests

Software Engineering

Information Systems Development

Top articles of Sherlock A. Licorish

Title

Journal

Author(s)

Publication Date

Improving transfer learning for software cross-project defect prediction

Applied Intelligence

Osayande P Omondiagbe

Sherlock A Licorish

Stephen G MacDonell

2024/4/24

Relating team atmosphere and group dynamics to student software development teams’ performance

Information and Software Technology

Sherlock A Licorish

Daniel Alencar da Costa

Elijah Zolduoarrati

Natalie Grattan

2024/3/1

Towards an understanding of the relationship between institutional theory, affective events theory, negative discrete emotions, and the development of feral systems when using …

Computers in Human Behavior Reports

Stacey Stace Kent

Luke Houghton

Sherlock Licorish

2023/3/1

An Assessment of Existing Wildfire Danger Indices in Comparison to One-class Machine Learning Models

Fathima Nuzla Ismail

Brendon J Woodford

Sherlock A Licorish

Aubrey D Miller

2023/9/7

How have views on Software Quality differed over time? Research and practice viewpoints

Journal of Systems and Software

Ifeanyi G Ndukwe

Sherlock A Licorish

Amjed Tahir

Stephen G MacDonell

2023/1/1

Soil texture prediction with automated deep convolutional neural networks and population-based learning

Geoderma

Osayande Pascal Omondiagbe

Linda Lilburne

Sherlock A Licorish

Stephen G MacDonell

2023/8/1

A Comparison of One-Class Versus Two-Class Machine Learning Models for Wildfire Prediction in California

Fathima Nuzla Ismail

Abira Sengupta

Brendon J Woodford

Sherlock A Licorish

2023/12/5

Secondary studies on human aspects in software engineering: A tertiary study

Journal of Systems and Software

Elijah Zolduoarrati

Sherlock A Licorish

Nigel Stanger

2023/6/1

Studying the characteristics of SQL-related development tasks: An empirical study

Empirical Software Engineering

Daniel Alencar da Costa

Natalie Grattan

Nigel Stanger

Sherlock A Licorish

2023/5

Improving Model Selection in Deep Supervised Transfer Learning Under Homogeneous Setting

Authorea Preprints

Osayande Pascal Omondiagbe

Stephen G MacDonell

Sherlock Licorish

2023/10/30

Decolonising Computer Science Education-A Global Perspective

Mawera Karetai

Samuel Mann

Dhammika Dave Guruge

Sherlock Licorish

Alison Clear

2023/3/2

Improving transfer learning for cross project defect prediction

Authorea Preprints

Osayande Pascal Omondiagbe

Sherlock Licorish

Stephen G MacDonell

2023/10/30

Investigating Expectation Violations in Mobile Apps

arXiv preprint arXiv:2201.02269

Sherlock A Licorish

Helen E Owen

Bastin Tony Roy Savarimuthu

Priyanka Patel

2022/1/6

Understanding students’ software development projects: Effort, performance, satisfaction, skills and their relation to the adequacy of outcomes developed

Journal of Systems and Software

Sherlock A Licorish

Matthias Galster

Georgia M Kapitsaki

Amjed Tahir

2022/4/1

Evaluating simple and complex models’ performance when predicting accepted answers on stack overflow

Osayande P Omondiagbe

Sherlock A Licorish

Stephen G Macdonell

2022/8/31

Preventing Negative Transfer on Sentiment Analysis in Deep Transfer Learning.

Osayande P Omondiagbe

Sherlock A Licorish

Stephen G MacDonell

2022

Prioritizing user concerns in app reviews–A study of requests for new features, enhancements and bug fixes

Information and Software Technology

Saurabh Malgaonkar

Sherlock A Licorish

Bastin Tony Roy Savarimuthu

2022/4/1

Negative Transfer in Cross Project Defect Prediction: Effect of Domain Divergence

Osayand P Omondiagbe

Sherlock A Licorish

Stephen G MacDonell

2022/8/31

A systematic mapping study addressing the reliability of mobile applications: The need to move beyond testing reliability

Chathrie Wimalasooriya

Sherlock A Licorish

Daniel Alencar da Costa

Stephen G MacDonell

2022/4/1

Combining gin and pmd for code improvements

Sherlock A Licorish

Markus Wagner

2022/7/9

See List of Professors in Sherlock A. Licorish University(University of Otago)

Co-Authors

H-index: 41
Steve Counsell

Steve Counsell

Brunel University London

H-index: 30
Ben Kei Daniel

Ben Kei Daniel

University of Otago

H-index: 26
Bastin Tony Roy Savarimuthu

Bastin Tony Roy Savarimuthu

University of Otago

H-index: 26
Jens Dietrich

Jens Dietrich

Victoria University of Wellington

H-index: 22
Austen Rainer

Austen Rainer

Queen's University Belfast

H-index: 18
Jil Klünder

Jil Klünder

Leibniz Universität Hannover

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