Object-Oriented Reengineering. - Serge Demeyer; Stéphane Ducasse; Kim Mens; Adrian Trifu; Rajesh Vasa; Filip Van Rysselberghe (ECOOP Workshops, 2003)

Detecting structural changes in object oriented software systems. - Rajesh Vasa; Jean-Guy Schneider; Clinton J. Woodward; Andrew Cain (ISESE, 2005)

Agile Practices in Software Development - Experiences from Student Projects. - Jean-Guy Schneider; Rajesh Vasa (ASWEC, 2006)

The Inevitable Stability of Software Change. - Rajesh Vasa; Jean-Guy Schneider; Oscar Nierstrasz (ICSM, 2007)

Patterns of Component Evolution. - Rajesh Vasa; Markus Lumpe; Jean-Guy Schneider (SC@ETAPS, 2007)

On the Resilience of Classes to Change. - Rajesh Vasa; Jean-Guy Schneider; Oscar Nierstrasz; Clinton J. Woodward (Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2007)

Comparative analysis of evolving software systems using the Gini coefficient. - Rajesh Vasa; Markus Lumpe; Philip Branch; Oscar Nierstrasz (ICSM, 2009)

Software Architecture Design Reasoning: A Case for Improved Methodology Support. - Antony Tang; Jun Han 004; Rajesh Vasa (IEEE Softw., 2009)

On the Use of Properties in Java Applications. - Markus Lumpe; Samiran Mahmud; Rajesh Vasa (Australian Software Engineering Conference, 2010)

Do metrics help to identify refactoring? - Jean-Guy Schneider; Rajesh Vasa; Leonard Hoon (EVOL/IWPSE, 2010)

Partition Refinement of Component Interaction Automata: Why Structure Matters More Than Size - Markus Lumpe; Rajesh Vasa (WCSI, 2010)

Toward a Social Media Usage Policy. - Felix Ter Chian Tan; Rajesh Vasa (ACIS, 2011)

Leveraging emerging web technologies for community engagement project success in higher education. - Felix Ter Chian Tan; Rosemary Stockdale; Rajesh Vasa (ECIS, 2011)

Impact of viral propagation on user interface design. - Antonio Giardina; Rajesh Vasa; Felix Ter Chian Tan (OZCHI, 2012)

A preliminary analysis of vocabulary in mobile app user reviews. - Leonard Hoon; Rajesh Vasa; Jean-Guy Schneider; Kon Mouzakis (OZCHI, 2012)

A preliminary analysis of mobile app user reviews. - Rajesh Vasa; Leonard Hoon; Kon Mouzakis; Akihiro Noguchi (OZCHI, 2012)

Learning Better Inspection Optimization Policies. - Markus Lumpe; Rajesh Vasa; Tim Menzies; Rebecca Rush; Burak Turhan (Int. J. Softw. Eng. Knowl. Eng., 2012)

Awesome!: conveying satisfaction on the app store. - Leonard Hoon; Rajesh Vasa; Gloria Yoanita Martino; Jean-Guy Schneider; Kon Mouzakis (OZCHI, 2013)

Designing an Evaluation Tool to Measure Emotional Goals. - Maheswaree Kissoon Curumsing; Sonja Pedell; Rajesh Vasa (Int. J. People Oriented Program., 2014)

QoS-Aware Service Selection for Customisable Multi-tenant Service-Based Systems: Maturity and Approaches. - Qiang He 001; Jun Han 004; Feifei Chen 001; Yanchun Wang; Rajesh Vasa; Yun Yang 001; Hai Jin 001 (CLOUD, 2015)

Spectrum-Based Runtime Anomaly Localisation in Service-Based Systems. - Qiang He 001; Xiaoyuan Xie; Feifei Chen 001; Yanchun Wang; Rajesh Vasa; Yun Yang 001; Hai Jin 001 (SCC, 2015)

Reporting Usability Defects: Limitations of Open Source Defect Repositories and Suggestions for Improvement. - Nor Shahida Mohamad Yusop; John Grundy 001; Rajesh Vasa (ASWEC (2), 2015)

A Preliminary Study of Open Learner Model Representation Formats to Support Formative Assessment. - Check Yee Law; John C. Grundy; Andrew Cain; Rajesh Vasa (COMPSAC, 2015)

Multi-node Multi-agent Cloud Simulation: Approximating Synchronisation. - Antonio Giardina; Yun Yang 001; Hai Le Vu; Rajesh Vasa (e-Science, 2015)

Bootstrapping Mobile App Development. - Scott Barnett; Rajesh Vasa; John Grundy 001 (ICSE (2), 2015)

A multi-view framework for generating mobile apps. - Scott Barnett; Iman Avazpour; Rajesh Vasa; John C. Grundy (VL/HCC, 2015)

Hub Map: A new approach for visualizing traffic data sets with multi-attribute link data. - Andrew J. Simmons; Iman Avazpour; Hai Le Vu; Rajesh Vasa (VL/HCC, 2015)

A Conceptual Model for Architecting Mobile Applications. - Scott Barnett; Rajesh Vasa; Antony Tang (WICSA, 2015)

ICT-Enabled Time-Critical Clinical Practices: Examining the Affordances of an Information Processing Solution. - Leonard Hoon; Felix Ter Chian Tan; Rajesh Vasa; Kon Mouzakis; Mark Fitzgerald (Australas. J. Inf. Syst., 2015)

Viewpoint Modelling with Emotions: A Case Study. - Maheswaree Kissoon Curumsing; Antonio A. Lopez-Lorca; Tim Miller 001; Leon Sterling; Rajesh Vasa (Int. J. People Oriented Program., 2015)

What Influences Usability Defect Reporting? - A Survey of Software Development Practitioners. - Nor Shahida Mohamad Yusop; Jean-Guy Schneider; John C. Grundy; Rajesh Vasa (APSEC, 2016)

Reporting usability defects: do reporters report what software developers need? - Nor Shahida Mohamad Yusop; John C. Grundy; Rajesh Vasa (EASE, 2016)

Examining Digital Assisted Living: towards a Case Study of Smart Homes for the Elderly. - Niroshinie Fernando; Felix Ter Chian Tan; Rajesh Vasa; Kon Mouzakis; Ian Aitken (ECIS, 2016)

Spreading word: author frequency of app user reviews. - Leonard Hoon; Milica Stojmenovic; Rajesh Vasa; Graham Farrell (OZCHI, 2016)

An empirical study of user perceived usefulness and preference of open learner model visualisations. - Check Yee Law; John Grundy 001; Rajesh Vasa; Andrew Cain (VL/HCC, 2016)

User Perceptions of Using an Open Learner Model Visualisation Tool for Facilitating Self-regulated Learning. - Check Yee Law; John C. Grundy; Andrew Cain; Rajesh Vasa; Alex Cummaudo (ACE, 2017)

Analysis of the Textual Content of Mined Open Source Usability Defect Reports. - Nor Shahida Mohamad Yusop; Jean-Guy Schneider; John Grundy 001; Rajesh Vasa (APSEC, 2017)

Spatio-Temporal Reference Frames as Geographic Objects. - Andrew J. Simmons; Rajesh Vasa (SIGSPATIAL/GIS, 2017)

Technical debt interest assessment: from issues to project. - Antonio Martini 001; Simon Vajda; Rajesh Vasa; Allan Jones; Mohamed Abdelrazek 001; John Grundy 001; Jan Bosch (XP Workshops, 2017)

Reporting Usability Defects: A Systematic Literature Review. - Nor Shahida Mohamad Yusop; John Grundy 001; Rajesh Vasa (IEEE Trans. Software Eng., 2017)

Evaluating an Open Learner Model Visualisation Prototype Tool with User eXperience Metrics. - Law Check Yee; John C. Grundy; Karola von Baggo; Andrew Cain; Rajesh Vasa (ASWEC, 2018)

Preliminary Evaluation of a Guided Usability Defect Report Form. - Nor Shahida Mohamad Yusop; John C. Grundy; Jean-Guy Schneider; Rajesh Vasa (ASWEC, 2018)

An interaction model for de-identification of human data held by external custodians. - Andrew J. Simmons; Maheswaree Kissoon Curumsing; Rajesh Vasa (OZCHI, 2018)

Measuring traffic congestion: An approach based on learning weighted inequality, spread and aggregation indices from comparison data. - Gleb Beliakov; Marek Gagolewski; Simon James; Shannon Pace; Nicola Pastorello; Elodie Thilliez; Rajesh Vasa (Appl. Soft Comput., 2018)

Data Provenance for Sport. - Andrew J. Simmons; Scott Barnett; Simon Vajda; Rajesh Vasa (CoRR, 2018)

What should I document? A preliminary systematic mapping study into API documentation knowledge. - Alex Cummaudo; Rajesh Vasa; John Grundy 001 (ESEM, 2019)

Losing Confidence in Quality: Unspoken Evolution of Computer Vision Services. - Alex Cummaudo; Rajesh Vasa; John C. Grundy; Mohamed Abdelrazek 001; Andrew Cain (ICSME, 2019)

Merging Intelligent API Responses Using a Proportional Representation Approach. - Tomohiro Ohtake; Alex Cummaudo; Mohamed Abdelrazek 001; Rajesh Vasa; John C. Grundy (ICWE, 2019)

Emotion-oriented requirements engineering: A case study in developing a smart home system for the elderly. - Maheswaree Kissoon Curumsing; Niroshinie Fernando; Mohamed Abdelrazek 001; Rajesh Vasa; Kon Mouzakis; John Grundy 001 (J. Syst. Softw., 2019)

Supporting multi-view development for mobile applications. - Scott Barnett; Iman Avazpour; Rajesh Vasa; John Grundy 001 (J. Comput. Lang., 2019)

A large-scale comparative analysis of Coding Standard conformance in Open-Source Data Science projects. - Andrew J. Simmons; Scott Barnett; Jessica Rivera-Villicana; Akshat Bajaj; Rajesh Vasa (ESEM, 2020)

Interpreting cloud computer vision pain-points: a mining study of stack overflow. - Alex Cummaudo; Rajesh Vasa; Scott Barnett; John C. Grundy; Mohamed Abdelrazek 001 (ICSE, 2020)

Beware the evolving 'intelligent' web service! an integration architecture tactic to guard AI-first components. - Alex Cummaudo; Scott Barnett; Rajesh Vasa; John C. Grundy; Mohamed Abdelrazek 001 (ESEC/SIGSOFT FSE, 2020)

Threshy: supporting safe usage of intelligent web services. - Alex Cummaudo; Scott Barnett; Rajesh Vasa; John C. Grundy (ESEC/SIGSOFT FSE, 2020)

Ranking Computer Vision Service Issues using Emotion. - Maheswaree Kissoon Curumsing; Alex Cummaudo; Ulrike Maria Graetsch; Scott Barnett; Rajesh Vasa (CoRR, 2020)

A revised open source usability defect classification taxonomy. - Nor Shahida Mohamad Yusop; John Grundy 001; Jean-Guy Schneider; Rajesh Vasa (Inf. Softw. Technol., 2020)

Treating Strategic Drift: Alignment Practices in Healthcare Information Systems Implementations. - Roxanne Baudilla Llamzon; Felix T. C. Tan; Lemuria D. Carter; Kon Mouzakis; Rajesh Vasa (ICIS, 2021)

Towards a taxonomy for annotation of data science experiment repositories. - Shangeetha Sivasothy; Scott Barnett; Niroshinie Fernando; Rajesh Vasa; Roopak Sinha; Andrew J. Simmons (SCAM, 2021)

Emotions in Computer Vision Service Q&A. - Alex Cummaudo; Ulrike Maria Graetsch; Maheswaree Kissoon Curumsing; Rajesh Vasa; Scott Barnett; John Grundy 001 (SEmotion@ICSE, 2021)

A Framework for Evaluating MRC Approaches with Unanswerable Questions. - Hung Du; Srikanth Thudumu; Sankhya Singh; Scott Barnett; Irini Logothetis; Rajesh Vasa; Kon Mouzakis (e-Science, 2022)

PiMS: A Pre-ML Labelling Tool. - Irini Logothetis; Scott Barnett; Leonard Hoon; Srikanth Thudumu; Joseph Mathew; Carl Luckhoff; Gerard O'Reilly; David Collard; Rajesh Vasa; Kon Mouzakis; Mark Fitzgerald (e-Science, 2022)

Subspace based Anomaly Detection Framework for Point Clouds. - Johnahan Van Zyl; Hung Du; Srikanth Thudumu; Irini Logothetis; Scott Barnett; Rajesh Vasa; Kon Mouzakis (e-Science, 2022)

SignalKG: Towards Reasoning about the Underlying Causes of Sensor Observations. - Anj Simmons; Rajesh Vasa; Antonio Giardina (ISWC (Posters/Demos/Industry), 2022)

Signal Knowledge Graph. - Anj Simmons; Rajesh Vasa (CoRR, 2022)

Comparative analysis of real bugs in open-source Machine Learning projects - A Registered Report. - Tuan Dung Lai; Anj Simmons; Scott Barnett; Jean-Guy Schneider; Rajesh Vasa (CoRR, 2022)

Requirements of API Documentation: A Case Study into Computer Vision Services. - Alex Cummaudo; Rajesh Vasa; John C. Grundy; Mohamed Abdelrazek 001 (IEEE Trans. Software Eng., 2022)

An Integrated Federated Learning and Meta-Learning Approach for Mining Operations. - Venkat Munagala; Sankhya Singh; Srikanth Thudumu; Irini Logothetis; Sushil Bhandari; Amit Bhandari; Kon Mouzakis; Rajesh Vasa (AI (1), 2023)

Decentralized Federated Learning Strategy with Image Classification using ResNet Architecture. - Hung Du; Srikanth Thudumu; Sankhya Singh; Scott Barnett; Irini Logothetis; Rajesh Vasa; Kon Mouzakis (CCNC, 2023)

Exploring the Reliability of IoT Packet Classifiers: An Experimental Study. - Aleksandar Pasquini; Rajesh Vasa; Hassan Habibi Gharakheili; Irini Logothetis; Minh Tran; Alexander Chambers (GLOBECOM (Workshops), 2023)

MLGuard: Defend Your Machine Learning Model! - Sheng Wong; Scott Barnett; Jessica Rivera-Villicana; Anj Simmons; Hala Abdelkader; Jean-Guy Schneider; Rajesh Vasa (SE4SafeML@SIGSOFT FSE, 2023)

UAV Dynamic Object Tracking with Lightweight Deep Vision Reinforcement Learning. - Hy Nguyen; Srikanth Thudumu; Hung Du; Kon Mouzakis; Rajesh Vasa (Algorithms, 2023)

Garbage in, garbage out: Zero-shot detection of crime using Large Language Models. - Anj Simmons; Rajesh Vasa (CoRR, 2023)

Evaluating LLMs on Document-Based QA: Exact Answer Selection and Numerical Extraction using Cogtale dataset. - Zafaryab Rasool; Scott Barnett; Stefanus Kurniawan; Sherwin Balugo; Rajesh Vasa; Courtney Chesser; Alex Bahar-Fuchs (CoRR, 2023)

Smart Home Goal Feature Model - A guide to support Smart Homes for Ageing in Place. - Irini Logothetis; Priya Rani; Shangeetha Sivasothy; Rajesh Vasa; Kon Mouzakis (CoRR, 2023)

Contextual topic discovery using unsupervised keyphrase extraction and hierarchical semantic graph model. - Hung Du; Srikanth Thudumu; Antonio Giardina; Rajesh Vasa; Kon Mouzakis; Li Jiang; John Chisholm; Sanat Bista (J. Big Data, 2023)

ML-On-Rails: Safeguarding Machine Learning Models in Software Systems - A Case Study. - Hala Abdelkader; Mohamed Abdelrazek 001; Scott Barnett; Jean-Guy Schneider; Priya Rani; Rajesh Vasa (CAIN, 2024)

Towards Robust ML-enabled Software Systems: Detecting Out-of-Distribution data using Gini Coefficients. - Hala Abdelkader; Jean-Guy Schneider; Mohamed Abdelrazek 001; Priya Rani; Rajesh Vasa (ASE, 2024)

A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions. - Hung Du; Srikanth Thudumu; Rajesh Vasa; Kon Mouzakis (CoRR, 2024)

RAGProbe: An Automated Approach for Evaluating RAG Applications. - Shangeetha Sivasothy; Scott Barnett; Stefanus Kurniawan; Zafaryab Rasool; Rajesh Vasa (CoRR, 2024)

Evaluating LLMs on document-based QA: Exact answer selection and numerical extraction using CogTale dataset. - Zafaryab Rasool; Stefanus Kurniawan; Sherwin Balugo; Scott Barnett; Rajesh Vasa; Courtney Chesser; Benjamin M. Hampstead; Sylvie Belleville; Kon Mouzakis; Alex Bahar-Fuchs (Nat. Lang. Process. J., 2024)

Comparative analysis of real issues in open-source machine learning projects. - Tuan Dung Lai; Anj Simmons; Scott Barnett; Jean-Guy Schneider; Rajesh Vasa (Empir. Softw. Eng., 2024)

Safeguarding LLM-Applications: Specify or Train? - Hala Abdelkader; Mohamed Almorsy Abdelrazek; Sankhya Singh; Irini Logothetis; Priya Rani; Rajesh Vasa; Jean-Guy Schneider (CAIN, 2025)

RAGProbe: Breaking RAG Pipelines with Evaluation Scenarios. - Shangeetha Sivasothy; Scott Barnett; Stefanus Kurniawan; Zafaryab Rasool; Rajesh Vasa (CAIN, 2025)

Dual-Branch HNSW Approach with Skip Bridges and LID-Driven Optimization. - Hy Nguyen; Nguyen Hung Nguyen; Nguyen Linh Bao Nguyen; Srikanth Thudumu; Hung Du; Rajesh Vasa; Kon Mouzakis (CoRR, 2025)

CSAOT: Cooperative Multi-Agent System for Active Object Tracking. - Hy Nguyen; Bao Pham; Hung Du; Srikanth Thudumu; Rajesh Vasa; Kon Mouzakis (CoRR, 2025)

Local Control Networks (LCNs): Optimizing Flexibility in Neural Network Data Pattern Capture. - Hy Nguyen; Duy Khoa Pham; Srikanth Thudumu; Hung Du; Rajesh Vasa; Kon Mouzakis (CoRR, 2025)

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination. - Hung Du; Srikanth Thudumu; Hy Nguyen; Rajesh Vasa; Kon Mouzakis (CoRR, 2025)

Overcoming Semantic Dilution in Transformer-Based Next Frame Prediction. - Hy Nguyen; Srikanth Thudumu; Hung Du; Rajesh Vasa; Kon Mouzakis (CoRR, 2025)

The M-factor: A Novel Metric for Evaluating Neural Architecture Search in Resource-Constrained Environments. - Srikanth Thudumu; Hy Nguyen; Hung Du; Nhat Duong; Zafaryab Rasool; Rena Logothetis; Scott Barnett; Rajesh Vasa; Kon Mouzakis (CoRR, 2025)