Munch: An Efficient Modularisation Strategy to Assess the Degree of Refactoring on Sequential Source Code Checkings. - Mahir Arzoky; Stephen Swift; Allan Tucker; James Cain 002 (ICST Workshops, 2011)

A Seeded Search for the Modularisation of Sequential Software Versions. - Mahir Arzoky; Stephen Swift; Allan Tucker; James Cain 002 (J. Object Technol., 2012)

An Approach to Controlling the Runtime for Search Based Modularisation of Sequential Source Code Check-ins. - Mahir Arzoky; Stephen Swift; Steve Counsell; James Cain 002 (IDA, 2014)

A Measure of the Modularisation of Sequential Software Versions Using Random Graph Theory. - Mahir Arzoky; Stephen Swift; Steve Counsell; James Cain 002 (XP Workshops, 2014)

Munch: an efficient modularisation strategy on sequential source code check-ins. - Mahir Arzoky (2015)

Opening the Black Box: Discovering and Explaining Hidden Variables in Type 2 Diabetic Patient Modelling. - Leila Yousefi; Stephen Swift; Mahir Arzoky; Lucia Sacchi; Luca Chiovato; Allan Tucker (BIBM, 2018)

An Exploratory Study of the Inputs for Ensemble Clustering Technique as a Subset Selection Problem. - Samy Ayed; Mahir Arzoky; Stephen Swift; Steve Counsell; Allan Tucker (IntelliSys (1), 2018)

Do Developers Really Worry About Refactoring Re-test? An Empirical Study of Open-Source Systems. - Steve Counsell; Stephen Swift; Mahir Arzoky; Giuseppe Destefanis (PROFES, 2018)

113 times Tomcat: A dataset. - Giuseppe Destefanis; Mahir Arzoky; Steve Counsell; Stephen Swift; Marco Ortu; Roberto Tonelli; Michele Marchesi (PeerJ Prepr., 2018)

An Empirical Study of the AGIS Visual Field Metric and Its Seasonal Variations. - Steve Counsell; Stephen Swift; Mahir Arzoky; Giuseppe Destefanis (CBMS, 2019)

Opening the Black Box: Exploring Temporal Pattern of Type 2 Diabetes Complications in Patient Clustering Using Association Rules and Hidden Variable Discovery. - Leila Yousefi; Stephen Swift; Mahir Arzoky; Lucia Sacchi; Luca Chiovato; Allan Tucker (CBMS, 2019)

On the Relationship Between Coupling and Refactoring: An Empirical Viewpoint. - Steve Counsell; Mahir Arzoky; Giuseppe Destefanis; Davide Taibi 001 (ESEM, 2019)

The Prevalence of Errors in Machine Learning Experiments. - Martin J. Shepperd; Yuchen Guo; Ning Li 022; Mahir Arzoky; Andrea Capiluppi; Steve Counsell; Giuseppe Destefanis; Stephen Swift; Allan Tucker; Leila Yousefi (IDEAL (1), 2019)

Personas Design for Conversational Systems in Education. - Fatima Ali Amer Jid Almahri; David Bell; Mahir Arzoky (Informatics, 2019)

Using the Lexicon from Source Code to Determine Application Domain. - Andrea Capiluppi; Nemitari Ajienka; Nour Ali; Mahir Arzoky; Steve Counsell; Giuseppe Destefanis; Alina Dana Miron; Bhaveet Nagaria; Rumyana Neykova; Martin J. Shepperd; Stephen Swift; Allan Tucker (EASE, 2020)

On Clones and Comments in Production and Test Classes: An Empirical Study. - Steve Counsell; Steve Swift; Mahir Arzoky; Giuseppe Destefanis (PROFES, 2020)

On the Link Between Refactoring Activity and Class Cohesion Through the Prism of Two Cohesion-Based Metrics. - Steve Counsell; Giuseppe Destefanis; Steve Swift; Mahir Arzoky; Davide Taibi 001 (QRS, 2020)

Is Complexity of Re-test a Reason Why Some Refactorings Are Buggy? an Empirical Perspective. - Steve Counsell; Steve Swift; Mahir Arzoky; Giuseppe Destefanis (QUATIC, 2020)

Deep convolutional neural network designed for age assessment based on orthopantomography data. - Seyed M. M. Kahaki; Md. Jan Nordin; Nazatul S. Ahmad; Mahir Arzoky; Waidah Ismail (Neural Comput. Appl., 2020)

Using an Instant Visual and Text Based Feedback Tool to Teach Path Finding Algorithms: A Concept. - Bhaveet Nagaria; Benjamin C. Evans; Ashley Mann; Mahir Arzoky (SEENG@ICSE, 2021)

Opening the black box: Personalizing type 2 diabetes patients based on their latent phenotype and temporal associated complication rules. - Leila Yousefi; Stephen Swift; Mahir Arzoky; Lucia Saachi; Luca Chiovato; Allan Tucker (Comput. Intell., 2021)

Estimating the Optimal Number of Clusters from Subsets of Ensembles. - Afees Adegoke Odebode; Allan Tucker; Mahir Arzoky; Stephen Swift (DATA, 2022)

How Starting Points and Representations Affect Software Modularisation: An Empirical Analysis. - Faisal Maramazi; Afees Adegoke Odebode; Ashley Mann; Stephen Swift; Mahir Arzoky (IntelliSys (2), 2023)

Using Clustering Ensembles and Heuristic Search to Estimate the Number of Clusters in Datasets. - Afees Adegoke Odebode; Mahir Arzoky; Allan Tucker; Ashley Mann; Faisal Maramazi; Stephen Swift (IntelliSys (3), 2023)

Different Strokes for Different Folks: A Comparison of Developer and Tester Views on Testing. - Steve Counsell; Stephen Swift; Mahir Arzoky; Tracy Hall; Emily Winter 001; Gareth Bennett; Thomas Shippey (SEAA, 2024)

Applying Graph Partitioning-Based Seeding Strategies to Software Modularisation. - Ashley Mann; Stephen Swift; Mahir Arzoky (EvoApplications@EvoStar, 2024)

MedT5SQL: a transformers-based large language model for text-to-SQL conversion in the healthcare domain. - Alaa Marshan; Anwar Nais AlMutairi; Athina Ioannou; David Bell; Asmat Monaghan; Mahir Arzoky (Frontiers Big Data, 2024)