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  2025 (11)
A Framework and Taxonomy for Characterizing the Applicability of Software Architecture Recovery Approaches: A Tertiary-Mapping Study. Qayum, A.; Zhang, M.; Colreavy, S.; Chochlov, M.; Buckley, J.; Lin, D.; and Sai, A. R. Softw. Pract. Exp., 55(1): 100–132. 2025.
A Framework and Taxonomy for Characterizing the Applicability of Software Architecture Recovery Approaches: A Tertiary-Mapping Study [link]Paper   doi   link   bibtex  
SimClone: Detecting Tabular Data Clones Using Value Similarity. Yang, X.; Rajbahadur, G. K.; Lin, D.; Wang, S.; and Jiang, Z. M. (. ACM Trans. Softw. Eng. Methodol., 34(1): 17:1–17:27. 2025.
SimClone: Detecting Tabular Data Clones Using Value Similarity [link]Paper   doi   link   bibtex  
Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization. Dong, X.; Wang, S.; Lin, D.; and Hassan, A. E. In Che, W.; Nabende, J.; Shutova, E.; and Pilehvar, M. T., editor(s), Findings of the Association for Computational Linguistics, ACL 2025, Vienna, Austria, July 27 - August 1, 2025, pages 2844–2859, 2025. Association for Computational Linguistics
Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization [link]Paper   link   bibtex  
Real-Time Adapting Routing (Rar): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation Models. Vasilevski, K.; Lin, D.; and Hassan, A. E. In 47th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, SEIP@ICSE 2025, Ottawa, ON, Canada, April 27 - May 3, 2025, pages 91–100, 2025. IEEE
Real-Time Adapting Routing (Rar): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation Models [link]Paper   doi   link   bibtex  
A Tutorial on Software Engineering for FMware. Cogo, F. R.; Rajbahadur, G. K.; Lin, D.; Gallaba, K.; Rombaut, B.; Oliva, G.; Lin, J. (.; Vasilevski, K.; and Hassan, A. E. In Montecchi, L.; Li, J.; Poshyvanyk, D.; and Zhang, D., editor(s), Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, FSE Companion 2025, Clarion Hotel Trondheim, Trondheim, Norway, June 23-28, 2025, pages 1231–1233, 2025. ACM
A Tutorial on Software Engineering for FMware [link]Paper   doi   link   bibtex  
MetaSel: A Test Selection Approach for Fine-tuned DNN Models. Abbasishahkoo, A.; Dadkhah, M.; Briand, L. C.; and Lin, D. CoRR, abs/2503.17534. 2025.
MetaSel: A Test Selection Approach for Fine-tuned DNN Models [link]Paper   doi   link   bibtex  
The Hitchhikers Guide to Production-ready Trustworthy Foundation Model powered Software (FMware). Vasilevski, K.; Rombaut, B.; Rajbahadur, G. K.; Oliva, G. A.; Gallaba, K.; Cogo, F. R.; Lin, J.; Lin, D.; Zhang, H.; Chen, B.; Thangarajah, K.; Hassan, A. E.; and Jiang, Z. M. CoRR, abs/2505.10640. 2025.
The Hitchhikers Guide to Production-ready Trustworthy Foundation Model powered Software (FMware) [link]Paper   doi   link   bibtex  
Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization. Dong, X.; Wang, S.; Lin, D.; and Hassan, A. E. CoRR, abs/2505.10736. 2025.
Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization [link]Paper   doi   link   bibtex  
Towards Conversational Development Environments: Using Theory-of-Mind and Multi-Agent Architectures for Requirements Refinement. Gallaba, K.; Arabat, A.; Lin, D.; Sayagh, M.; and Hassan, A. E. CoRR, abs/2505.20973. 2025.
Towards Conversational Development Environments: Using Theory-of-Mind and Multi-Agent Architectures for Requirements Refinement [link]Paper   doi   link   bibtex  
SPICE: An Automated SWE-Bench Labeling Pipeline for Issue Clarity, Test Coverage, and Effort Estimation. Bhatia, A.; Oliva, G. A.; Rajbahadur, G. K.; Zhang, H.; Chen, Y.; Chen, Z.; Leung, A.; Lin, D.; Chen, B.; and Hassan, A. E. CoRR, abs/2507.09108. 2025.
SPICE: An Automated SWE-Bench Labeling Pipeline for Issue Clarity, Test Coverage, and Effort Estimation [link]Paper   doi   link   bibtex  
RepoForge: Training a SOTA Fast-thinking SWE Agent with an End-to-End Data Curation Pipeline Synergizing SFT and RL at Scale. Chen, Z.; Zhao, C.; Chen, B.; Lin, D.; Chen, Y.; Leung, A.; Rajbahadur, G. K.; Oliva, G. A.; Zhang, H.; Bhatia, A.; Yong, C. C.; and Hassan, A. E. CoRR, abs/2508.01550. 2025.
RepoForge: Training a SOTA Fast-thinking SWE Agent with an End-to-End Data Curation Pipeline Synergizing SFT and RL at Scale [link]Paper   doi   link   bibtex  
  2024 (20)
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting. Li, H.; Rajbahadur, G. K.; Lin, D.; Bezemer, C.; and Jiang, Z. M. IEEE Access, 12: 70676–70689. 2024.
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting [link]Paper   doi   link   bibtex  
Emerging Advanced Technologies for Game Engineering. Arnedo-Moreno, J.; Cooper, K. M. L.; and Lin, D. ACM SIGSOFT Softw. Eng. Notes, 49(3): 37–41. 2024.
Emerging Advanced Technologies for Game Engineering [link]Paper   doi   link   bibtex  
TEASMA: A Practical Methodology for Test Adequacy Assessment of Deep Neural Networks. Abbasishahkoo, A.; Dadkhah, M.; Briand, L. C.; and Lin, D. IEEE Trans. Software Eng., 50(12): 3307–3329. 2024.
TEASMA: A Practical Methodology for Test Adequacy Assessment of Deep Neural Networks [link]Paper   doi   link   bibtex  
Technical Brief on Software Engineering for FMware. Lin, D.; Côgo, F. R.; Rajbahadur, G. K.; and Hassan, A. E. In Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, ICSE Companion 2024, Lisbon, Portugal, April 14-20, 2024, pages 431–433, 2024. ACM
Technical Brief on Software Engineering for FMware [link]Paper   doi   link   bibtex  
Foreword to the 8th International Workshop on Games and Software Engineering (GAS 2024). Arnedo-Moreno, J.; Cooper, K. M. L.; Händler, T.; and Lin, D. In 8th IEEE/ACM International Workshop on Games and Software Engineering, GAS@ICSE 2024, Lisbon, Portugal, April 14, 2024, pages vii–viii, 2024. IEEE
Foreword to the 8th International Workshop on Games and Software Engineering (GAS 2024) [link]Paper   link   bibtex  
Rethinking Software Engineering in the Era of Foundation Models: A Curated Catalogue of Challenges in the Development of Trustworthy FMware. Hassan, A. E.; Lin, D.; Rajbahadur, G. K.; Gallaba, K.; Côgo, F. R.; Chen, B.; Zhang, H.; Thangarajah, K.; Oliva, G. A.; Lin, J. (.; Abdullah, W. M.; and Jiang, Z. M. (. In d'Amorim , M., editor(s), Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, FSE 2024, Porto de Galinhas, Brazil, July 15-19, 2024, pages 294–305, 2024. ACM
Rethinking Software Engineering in the Era of Foundation Models: A Curated Catalogue of Challenges in the Development of Trustworthy FMware [link]Paper   doi   link   bibtex  
A Tutorial on Software Engineering for FMware. Côgo, F. R.; Rajbahadur, G. K.; Lin, D.; and Hassan, A. E. In d'Amorim , M., editor(s), Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, FSE 2024, Porto de Galinhas, Brazil, July 15-19, 2024, pages 710–712, 2024. ACM
A Tutorial on Software Engineering for FMware [link]Paper   doi   link   bibtex  
Proceedings of the 1st ACM International Conference on AI-Powered Software, AIware 2024, Porto de Galinhas, Brazil, July 15-16, 2024. Adams, B.; Zimmermann, T.; Ozkaya, I.; Lin, D.; and Zhang, J. M., editors. ACM. 2024.
Proceedings of the 1st ACM International Conference on AI-Powered Software, AIware 2024, Porto de Galinhas, Brazil, July 15-16, 2024 [link]Paper   doi   link   bibtex  
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting. Li, H.; Rajbahadur, G. K.; Lin, D.; Bezemer, C.; and Jiang, Z. M. CoRR, abs/2401.10359. 2024.
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting [link]Paper   doi   link   bibtex  
Rethinking Software Engineering in the Foundation Model Era: A Curated Catalogue of Challenges in the Development of Trustworthy FMware. Hassan, A. E.; Lin, D.; Rajbahadur, G. K.; Gallaba, K.; Côgo, F. R.; Chen, B.; Zhang, H.; Thangarajah, K.; Oliva, G. A.; Lin, J.; Abdullah, W. M.; and Jiang, Z. M. CoRR, abs/2402.15943. 2024.
Rethinking Software Engineering in the Foundation Model Era: A Curated Catalogue of Challenges in the Development of Trustworthy FMware [link]Paper   doi   link   bibtex  
Rethinking Software Engineering in the Foundation Model Era: From Task-Driven AI Copilots to Goal-Driven AI Pair Programmers. Hassan, A. E.; Oliva, G. A.; Lin, D.; Chen, B.; and Jiang, Z. M. CoRR, abs/2404.10225. 2024.
Rethinking Software Engineering in the Foundation Model Era: From Task-Driven AI Copilots to Goal-Driven AI Pair Programmers [link]Paper   doi   link   bibtex  
A Framework for Real-time Safeguarding the Text Generation of Large Language Model. Dong, X.; Lin, D.; Wang, S.; and Hassan, A. E. CoRR, abs/2404.19048. 2024.
A Framework for Real-time Safeguarding the Text Generation of Large Language Model [link]Paper   doi   link   bibtex  
SimClone: Detecting Tabular Data Clones using Value Similarity. Yang, X.; Rajbahadur, G. K.; Lin, D.; Wang, S.; and Jiang, Z. M. CoRR, abs/2407.12802. 2024.
SimClone: Detecting Tabular Data Clones using Value Similarity [link]Paper   doi   link   bibtex  
Data Quality Antipatterns for Software Analytics. Bhatia, A.; Lin, D.; Rajbahadur, G. K.; Adams, B.; and Hassan, A. E. CoRR, abs/2408.12560. 2024.
Data Quality Antipatterns for Software Analytics [link]Paper   doi   link   bibtex  
Towards AI-Native Software Engineering (SE 3.0): A Vision and a Challenge Roadmap. Hassan, A. E.; Oliva, G. A.; Lin, D.; Chen, B.; and Jiang, Z. M. CoRR, abs/2410.06107. 2024.
Towards AI-Native Software Engineering (SE 3.0): A Vision and a Challenge Roadmap [link]Paper   doi   link   bibtex  
PromptExp: Multi-granularity Prompt Explanation of Large Language Models. Dong, X.; Wang, S.; Lin, D.; Rajbahadur, G. K.; Zhou, B.; Liu, S.; and Hassan, A. E. CoRR, abs/2410.13073. 2024.
PromptExp: Multi-granularity Prompt Explanation of Large Language Models [link]Paper   doi   link   bibtex  
From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap. Rajbahadur, G. K.; Oliva, G. A.; Lin, D.; and Hassan, A. E. CoRR, abs/2410.20791. 2024.
From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap [link]Paper   doi   link   bibtex  
Watson: A Cognitive Observability Framework for the Reasoning of Foundation Model-Powered Agents. Rombaut, B.; Masoumzadeh, S.; Vasilevski, K.; Lin, D.; and Hassan, A. E. CoRR, abs/2411.03455. 2024.
Watson: A Cognitive Observability Framework for the Reasoning of Foundation Model-Powered Agents [link]Paper   doi   link   bibtex  
Real-time Adapting Routing (RAR): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation Models. Vasilevski, K.; Lin, D.; and Hassan, A. E. CoRR, abs/2411.09837. 2024.
Real-time Adapting Routing (RAR): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation Models [link]Paper   doi   link   bibtex  
Engineering AI Judge Systems. Lin, J.; Lin, D.; Zhang, S.; and Hassan, A. E. CoRR, abs/2411.17793. 2024.
Engineering AI Judge Systems [link]Paper   doi   link   bibtex  
  2023 (4)
Games and Software Engineering: Engineering fun, inspiration, and motivation. Bucchiarone, A.; Cooper, K. M. L.; Lin, D.; Melcer, E. F.; and Sung, K. ACM SIGSOFT Softw. Eng. Notes, 48(1): 85–89. 2023.
Games and Software Engineering: Engineering fun, inspiration, and motivation [link]Paper   doi   link   bibtex  
Fostering Collaboration and Advancing Research in Software Engineering and Game Development for Serious Contexts. Bucchiarone, A.; Cooper, K. M. L.; Lin, D.; Smith, A.; and Wanick, V. ACM SIGSOFT Softw. Eng. Notes, 48(4): 46–50. 2023.
Fostering Collaboration and Advancing Research in Software Engineering and Game Development for Serious Contexts [link]Paper   doi   link   bibtex  
Analyzing Gamer Complaints in Reviews of Cross-Platform Video Games on Steam. Hu, H.; Tian, Y.; Hassan, S.; and Lin, D. In IEEE Conference on Games, CoG 2023, Boston, MA, USA, August 21-24, 2023, pages 1–8, 2023. IEEE
Analyzing Gamer Complaints in Reviews of Cross-Platform Video Games on Steam [link]Paper   doi   link   bibtex  
TEASMA: A Practical Approach for the Test Assessment of Deep Neural Networks using Mutation Analysis. Abbasishahkoo, A.; Dadkhah, M.; Briand, L. C.; and Lin, D. CoRR, abs/2308.01311. 2023.
TEASMA: A Practical Approach for the Test Assessment of Deep Neural Networks using Mutation Analysis [link]Paper   doi   link   bibtex  
  2022 (7)
What Causes Wrong Sentiment Classifications of Game Reviews?. Viggiato, M.; Lin, D.; Hindle, A.; and Bezemer, C. IEEE Trans. Games, 14(3): 350–363. 2022.
What Causes Wrong Sentiment Classifications of Game Reviews? [link]Paper   doi   link   bibtex  
Towards a Consistent Interpretation of AIOps Models. Lyu, Y.; Rajbahadur, G. K.; Lin, D.; Chen, B.; and Jiang, Z. M. (. ACM Trans. Softw. Eng. Methodol., 31(1): 16:1–16:38. 2022.
Towards a Consistent Interpretation of AIOps Models [link]Paper   doi   link   bibtex  
The Impact of Data Merging on the Interpretation of Cross-Project Just-In-Time Defect Models. Lin, D.; Tantithamthavorn, C.; and Hassan, A. E. IEEE Trans. Software Eng., 48(8): 2969–2986. 2022.
The Impact of Data Merging on the Interpretation of Cross-Project Just-In-Time Defect Models [link]Paper   doi   link   bibtex  
Towards Training Reproducible Deep Learning Models. Chen, B.; Wen, M.; Shi, Y.; Lin, D.; Rajbahadur, G. K.; and Jiang, Z. M. In 44th IEEE/ACM 44th International Conference on Software Engineering, ICSE 2022, Pittsburgh, PA, USA, May 25-27, 2022, pages 2202–2214, 2022. ACM
Towards Training Reproducible Deep Learning Models [link]Paper   doi   link   bibtex  
Towards a consistent interpretation of AIOps models. Lyu, Y.; Rajbahadur, G. K.; Lin, D.; Chen, B.; and Jiang, Z. M. CoRR, abs/2202.02298. 2022.
Towards a consistent interpretation of AIOps models [link]Paper   link   bibtex  
Towards Training Reproducible Deep Learning Models. Chen, B.; Wen, M.; Shi, Y.; Lin, D.; Rajbahadur, G. K.; and Jiang, Z. M. CoRR, abs/2202.02326. 2022.
Towards Training Reproducible Deep Learning Models [link]Paper   link   bibtex  
An Empirical Study of Delayed Games on Steam. Grewal, B.; Lin, D.; Doucet, L.; and Bezemer, C. CoRR, abs/2204.11191. 2022.
An Empirical Study of Delayed Games on Steam [link]Paper   doi   link   bibtex  
  2021 (4)
An Empirical Study of Trends of Popular Virtual Reality Games and Their Complaints. Epp, R.; Lin, D.; and Bezemer, C. IEEE Trans. Games, 13(3): 275–286. 2021.
An Empirical Study of Trends of Popular Virtual Reality Games and Their Complaints [link]Paper   doi   link   bibtex  
Building the perfect game - an empirical study of game modifications. Lee, D.; Lin, D.; Bezemer, C.; and Hassan, A. E. CoRR, abs/2103.07528. 2021.
Building the perfect game - an empirical study of game modifications [link]Paper   link   bibtex  
An Empirical Study of the Characteristics of Popular Minecraft Mods. Lee, D.; Rajbahadur, G. K.; Lin, D.; Sayagh, M.; Bezemer, C.; and Hassan, A. E. CoRR, abs/2103.14439. 2021.
An Empirical Study of the Characteristics of Popular Minecraft Mods [link]Paper   link   bibtex  
Can I use this publicly available dataset to build commercial AI software? Most likely not. Rajbahadur, G. K.; Tuck, E.; Zi, L.; Wei, Z.; Lin, D.; Chen, B.; Jiang, Z. M.; and German, D. M. CoRR, abs/2111.02374. 2021.
Can I use this publicly available dataset to build commercial AI software? Most likely not [link]Paper   link   bibtex  
  2020 (2)
Building the perfect game - an empirical study of game modifications. Lee, D.; Lin, D.; Bezemer, C.; and Hassan, A. E. Empir. Softw. Eng., 25(4): 2485–2518. 2020.
Building the perfect game - an empirical study of game modifications [link]Paper   doi   link   bibtex  
An empirical study of the characteristics of popular Minecraft mods. Lee, D.; Rajbahadur, G. K.; Lin, D.; Sayagh, M.; Bezemer, C.; and Hassan, A. E. Empir. Softw. Eng., 25(5): 3396–3429. 2020.
An empirical study of the characteristics of popular Minecraft mods [link]Paper   doi   link   bibtex  
  2019 (3)
How Can Game Developers Leverage Data from Online Distribution Platforms? A Case Study of the Steam Platform. Lin, D. Ph.D. Thesis, Queen's University at Kingston, Ontario, Canada, 2019.
How Can Game Developers Leverage Data from Online Distribution Platforms? A Case Study of the Steam Platform [link]Paper   link   bibtex  
An empirical study of game reviews on the Steam platform. Lin, D.; Bezemer, C.; Zou, Y.; and Hassan, A. E. Empir. Softw. Eng., 24(1): 170–207. 2019.
An empirical study of game reviews on the Steam platform [link]Paper   doi   link   bibtex  
Identifying gameplay videos that exhibit bugs in computer games. Lin, D.; Bezemer, C.; and Hassan, A. E. Empir. Softw. Eng., 24(6): 4006–4033. 2019.
Identifying gameplay videos that exhibit bugs in computer games [link]Paper   doi   link   bibtex  
  2018 (2)
An empirical study of early access games on the Steam platform. Lin, D.; Bezemer, C.; and Hassan, A. E. Empir. Softw. Eng., 23(2): 771–799. 2018.
An empirical study of early access games on the Steam platform [link]Paper   doi   link   bibtex  
An empirical study of early access games on the steam platform. Lin, D.; Bezemer, C.; and Hassan, A. E. In Chaudron, M.; Crnkovic, I.; Chechik, M.; and Harman, M., editor(s), Proceedings of the 40th International Conference on Software Engineering, ICSE 2018, Gothenburg, Sweden, May 27 - June 03, 2018, pages 480, 2018. ACM
An empirical study of early access games on the steam platform [link]Paper   doi   link   bibtex  
  2017 (1)
Studying the urgent updates of popular games on the Steam platform. Lin, D.; Bezemer, C.; and Hassan, A. E. Empir. Softw. Eng., 22(4): 2095–2126. 2017.
Studying the urgent updates of popular games on the Steam platform [link]Paper   doi   link   bibtex  
  2016 (2)
Chinese word segmentation based on conditional random fields with character clustering. Du, L.; Li, X.; Liu, C.; Liu, R.; Fan, X.; Yang, J.; Lin, D.; and Wei, M. In Dong, M.; Tseng, Y.; Lu, Y.; Yu, L.; Lee, L.; Wu, C.; and Li, H., editor(s), 2016 International Conference on Asian Language Processing, IALP 2016, Tainan, Taiwan, November 21-23, 2016, pages 258–261, 2016. IEEE
Chinese word segmentation based on conditional random fields with character clustering [link]Paper   doi   link   bibtex  
Chinese term extraction from web pages based on expected point-wise mutual information. Du, L.; Li, X.; and Lin, D. In 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2016, Changsha, China, August 13-15, 2016, pages 1647–1651, 2016. IEEE
Chinese term extraction from web pages based on expected point-wise mutual information [link]Paper   doi   link   bibtex