Understanding Service Variability for Profitable Software as a Service: Service Providers' Perspective. - Eng Lieh Ouh; Stan Jarzabek (CAiSE (Forum/Doctoral Consortium), 2014)

Clone Detection in Reuse of Software Technical Documentation. - Dmitrij V. Koznov; Dmitry V. Luciv; Hamid Abdul Basit; Ouh Eng Lieh; Mikhail Smirnov (Ershov Memorial Conference, 2015)

Mood self-assessment on smartphones. - Le Minh Khue; Eng Lieh Ouh; Stan Jarzabek (Wireless Health, 2015)

An Adaptability-Driven Model and Tool for Analysis of Service Profitability. - Ouh Eng Lieh; Stan Jarzabek (CAiSE, 2016)

Teaching Adult Learners on Software Architecture Design Skills. - Ouh Eng Lieh; Yunghans Irawan (FIE, 2018)

Exploring Experiential Learning Model and Risk Management Process for an Undergraduate Software Architecture Course. - Ouh Eng Lieh; Yunghans Irawan (FIE, 2018)

Do my students understand? Automated identification of doubts from informal reflections. - Siaw Ling Lo; Kar Way Tan; Eng Lieh Ouh (ICCE, 2019)

Applying Case-Based Learning for a Postgraduate Software Architecture Course. - Eng Lieh Ouh; Yunghans Irawan (ITiCSE, 2019)

Designing Learning Activities for Experiential Learning in a Design Thinking Course. - Kok Siew Benjamin Gan; Eng Lieh Ouh (TALE, 2019)

A Longitudinal Study of a Capstone Course. - Kok Siew Benjamin Gan; Eng Lieh Ouh; Yin Yin Fiona Lee (AMCIS, 2020)

Experience Report on the Use of Technology to Manage Capstone Course Projects. - Benjamin Kok Siew Gan; Eng Lieh Ouh (FIE, 2020)

Evaluating Methods for Students to Identify and Clarify Doubts in Computing Design Courses. - Eng Lieh Ouh; Benjamin Kok Siew Gan (FIE, 2020)

Did our Course Design on Software Architecture meet our Student's Learning Expectations? - Eng Lieh Ouh; Kok Siew Benjamin Gan; Yunghans Irawan (FIE, 2020)

BugsInPy: a database of existing bugs in Python programs to enable controlled testing and debugging studies. - Ratnadira Widyasari; Sheng Qin Sim; Camellia Lok; Haodi Qi; Jack Phan; Qijin Tay; Constance Tan; Fiona Wee; Jodie Ethelda Tan; Yuheng Yieh; Brian Goh; Ferdian Thung; et al. (ESEC/SIGSOFT FSE, 2020)

Effective Digital Learning Practices for IS Design Courses during COVID-19. - Eng Lieh Ouh; Benjamin Kok Siew Gan (AMCIS, 2021)

Integration of Information Technology Certifications into Undergraduate Computing Curriculum. - Eng Lieh Ouh; Kyong Jin Shim (FIE, 2021)

Lessons Learnt Conducting Capture the Flag CyberSecurity Competition during COVID-19. - Kee Hock Tan; Eng Lieh Ouh (FIE, 2021)

Automated doubt identification from informal reflections through hybrid sentic patterns and machine learning approach. - Siaw Ling Lo; Kar Way Tan; Eng Lieh Ouh (Res. Pract. Technol. Enhanc. Learn., 2021)

Designing Flipped Learning Activities for Beginner Programming Course. - Benjamin Kok Siew Gan; Eng Lieh Ouh (AMCIS, 2022)

Implementation of Empath X SLA predictive tool for a Government Agency in Singapore. - Alvina Lee Hui Shan; Venky Shankararaman; Eng Lieh Ouh (IEEE Big Data, 2022)

Learnings from a Pilot Hybrid Question Answering System: CQAS: Case Study based on a Singapore Government Agency's Customer Service Centre. - Alvina Lee Hui Shan; Venky Shankararaman; Eng Lieh Ouh (DG.O, 2022)

ITSS: Interactive Web-Based Authoring and Playback Integrated Environment for Programming Tutorials. - Eng Lieh Ouh; Benjamin Kok Siew Gan; David Lo 001 (ICSE (SEET), 2022)

AI-Enabled Adaptive Learning using Automated Topic Alignment and Doubt Detection. - Kar Way Tan; Siaw Ling Lo; Eng Lieh Ouh; Wei Leng Neo (PACIS, 2022)

Extending the Horizon by Empowering Government Customer Service Officers with ACQAR for Enhanced Citizen Service Delivery. - Alvina Lee Hui Shan; Venky Shankararaman; Eng Lieh Ouh (IEEE Big Data, 2023)

Vision Paper: Advancing of AI Explainability for the Use of ChatGPT in Government Agencies - Proposal of A 4-Step Framework. - Alvina Lee Hui Shan; Venky Shankararaman; Eng Lieh Ouh (IEEE Big Data, 2023)

Learnings from Implementing a Pilot Hybrid Question Answering System for a Government Agency in Singapore. - Alvina Lee Hui Shan; Venky Shankararaman; Ouh Eng Lieh (HICSS, 2023)

An Exploratory Study of Architectural Style and Effort Estimation for Multi-Tenant Microservices-Based Software as a Service (SaaS). - Eng Lieh Ouh; Benjamin Kok Siew Gan (ICSA-C, 2023)

Are you cloud-certified? Preparing Computing Undergraduates for Cloud Certification with Experiential Learning. - Eng Lieh Ouh; Benjamin Kok Siew Gan (SEET@ICSE, 2023)

ChatGPT, Can You Generate Solutions for my Coding Exercises? An Evaluation on its Effectiveness in an undergraduate Java Programming Course. - Eng Lieh Ouh; Benjamin Kok Siew Gan; Kyong Jin Shim; Swavek Wlodkowski (ITiCSE (1), 2023)

Machine-Learning Approach to Automated Doubt Identification on Stack Overflow Comments to Guide Programming Learners. - Tianhao Chen; Eng Lieh Ouh; Kar Way Tan; Siaw Ling Lo (PACIS, 2023)

Sustainability Projects with a Community Partner, a social norm nudging effort. - Benjamin Kok Siew Gan; Thomas Menkhoff; Eng Lieh Ouh (TALE, 2023)

Class Participation, Using Technology to Enhance Efficiency and Fairness. - Benjamin Kok Siew Gan; Eng Lieh Ouh (TALE, 2023)

Enhancing Government Service Delivery: A Case Study of ACQAR Implementation and Lessons Learned from ChatGPT Integration in a Singapore Government Agency. - Alvina Lee Hui Shan; Venky Shankararaman; Eng Lieh Ouh (DG.O, 2024)

A Bottom-Up Multi-Disciplinary Approach for Sustainability Education: UN-SDG 13.3. - Benjamin Kok Siew Gan; Thomas Menkhoff; Eng Lieh Ouh; Kevin Cheong (PACIS, 2024)

CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics. - Yikun Li; Ting Zhang 011; Ratnadira Widyasari; Yan Naing Tun; Huu Hung Nguyen; Tan Bui; Ivana Clairine Irsan; Yiran Cheng; Xiang Lan; Han Wei Ang; Frank Liauw; Martin Weyssow; et al. (CoRR, 2024)

Evaluating ChatGPT to Answer Multi-Modal Exercises in Computer Science Education. - Eng Lieh Ouh; Kar Way Tan; Siaw Ling Lo; Benjamin Kok Siew Gan (ITiCSE (1), 2025)

PromptTutor: Effects of an LLM-Based Chatbot on Learning Outcomes and Motivation in Flipped Classrooms. - Yuhao Zhang; Eng Lieh Ouh; Adam Ho; Siaw Ling Lo; Kar Way Tan; Feng Lin 006 (ITiCSE (1), 2025)

Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection. - Ting Zhang 011; Chengran Yang; Yindu Su; Martin Weyssow; Huu Hung Nguyen; Tan Bui; Hong Jin Kang; Yikun Li; Eng Lieh Ouh; Lwin Khin Shar; David Lo 001 (CoRR, 2025)

R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation. - Martin Weyssow; Chengran Yang; Junkai Chen; Yikun Li; Huihui Huang; Ratnadira Widyasari; Han Wei Ang; Frank Liauw; Eng Lieh Ouh; Lwin Khin Shar; David Lo 001 (CoRR, 2025)

Let the Trial Begin: A Mock-Court Approach to Vulnerability Detection using LLM-Based Agents. - Ratnadira Widyasari; Martin Weyssow; Ivana Clairine Irsan; Han Wei Ang; Frank Liauw; Eng Lieh Ouh; Lwin Khin Shar; Hong Jin Kang; David Lo 001 (CoRR, 2025)

Mapping NVD Records to Their VFCs: How Hard is it? - Huu Hung Nguyen; Duc-Manh Tran; Yiran Cheng; Thanh Le-Cong; Hong Jin Kang; Ratnadira Widyasari; Lwin Khin Shar; Ouh Eng Lieh; Ting Zhang 011; David Lo 001 (CoRR, 2025)

Back to the Basics: Rethinking Issue-Commit Linking with LLM-Assisted Retrieval. - Huihui Huang; Ratnadira Widyasari; Ting Zhang 011; Ivana Clairine Irsan; Jieke Shi; Han Wei Ang; Frank Liauw; Eng Lieh Ouh; Lwin Khin Shar; Hong Jin Kang; David Lo 001 (CoRR, 2025)

VulCoCo: A Simple Yet Effective Method for Detecting Vulnerable Code Clones. - Tan Bui; Yan Naing Tun; Thanh Phuc Nguyen; Yindu Su; Ferdian Thung; Yikun Li; Han Wei Ang; Yide Yin; Frank Liauw; Lwin Khin Shar; Eng Lieh Ouh; Ting Zhang 011; et al. (CoRR, 2025)

Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses? - Yikun Li; Ngoc Tan Bui; Ting Zhang 011; Martin Weyssow; Chengran Yang; Xin Zhou 014; Jinfeng Jiang; Junkai Chen; Huihui Huang; Huu Hung Nguyen; Chiok Yew Ho; Jie Tang 001; et al. (CoRR, 2025)