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Hoa Khanh Dam
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2020 – today
- 2025
[j31]Hong Quy Nguyen
, Thong Hoang, Hoa Khanh Dam, Aditya Ghose:
Graph-based explainable vulnerability prediction. Inf. Softw. Technol. 177: 107566 (2025)- 2024
- [j30]Abdulaziz Alhefdhi, Hoa Khanh Dam, Aditya Ghose:
Towards automating self-admitted technical debt repayment. Inf. Softw. Technol. 167: 107376 (2024) - [j29]Ahmed Saeed Alsayed, Hoa Khanh Dam, Aditya Ghose, Chau Nguyen:
StraAlgin: Automated Strategic Alignment of Services. IEEE Trans. Serv. Comput. 17(3): 1212-1226 (2024) - [j28]Geeta Mahala, Renuka Sindhgatta, Hoa Khanh Dam, Aditya Ghose:
Multi-Objective Evolutionary Search for Optimal Robotic Process Automation Architectures. IEEE Trans. Serv. Comput. 17(5): 2654-2671 (2024) - [c90]Geeta Mahala, Özgür Kafali, Hoa Khanh Dam, Aditya Ghose, Munindar P. Singh:
Toward a Normative Approach for Resilient Multiagent Systems: A Summary. AAMAS 2024: 2836-2838 - [c89]Geeta Mahala, Aditya Ghose, Hoa Khanh Dam, Angela Consoli:
Verifying Multi -Agent Coordination Correctness for BDI Agents. COMPSAC 2024: 21-26 - [c88]Alan Colman, Quoc Bao Vo, Anton V. Uzunov, Saad Sajid Hashmi, Hoa Khanh Dam, Mohan Baruwal Chhetri:
Microcompositions for Goal-Driven Self-Adaptation. COMPSAC 2024: 1318-1323 - [c87]Ahmed Saeed Alsayed, Hoa Khanh Dam, Chau Nguyen:
MicroRec: Leveraging Large Language Models for Microservice Recommendation. MSR 2024: 419-430 - [i22]Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Omar Haggag, John Grundy:
Interactive GDPR-Compliant Privacy Policy Generation for Software Applications. CoRR abs/2410.03069 (2024) - 2023
- [j27]Geeta Mahala, Özgür Kafali, Hoa Khanh Dam, Aditya Ghose, Munindar P. Singh:
A normative approach for resilient multiagent systems. Auton. Agents Multi Agent Syst. 37(2): 46 (2023) - [j26]Pattaraporn Sangaroonsilp, Morakot Choetkiertikul, Hoa Khanh Dam, Aditya Ghose:
An empirical study of automated privacy requirements classification in issue reports. Autom. Softw. Eng. 30(2): 20 (2023) - [j25]Ahmad Alelaimat, Aditya Ghose, Hoa Khanh Dam:
XPlaM: A toolkit for automating the acquisition of BDI agent-based Digital Twins of organizations. Comput. Ind. 145: 103805 (2023) - [j24]Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Aditya Ghose:
A taxonomy for mining and classifying privacy requirements in issue reports. Inf. Softw. Technol. 157: 107162 (2023) - [j23]Hoa Khanh Dam, Aditya Ghose, Nigel Gilbert, Munindar P. Singh:
Understanding Responsible Computing via Project Management for Sustainability. IEEE Internet Comput. 27(6): 37-42 (2023) - [j22]Francisco Bráulio Oliveira, Davoud Mougouei, Amanul Haque, Jaime Simão Sichman, Hoa Khanh Dam, Simon Evans, Aditya Ghose, Munindar P. Singh:
Beyond fear and anger: A global analysis of emotional response to Covid-19 news on Twitter. Online Soc. Networks Media 36: 100253 (2023) - [j21]Rashina Hoda, Hoa Khanh Dam, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, Margaret-Anne D. Storey:
Augmented Agile: Human-Centered AI-Assisted Software Management. IEEE Softw. 40(4): 106-109 (2023) - [j20]Swasti Khurana, Novarun Deb, Sajib Mistry, Aditya Ghose, Aneesh Krishna, Hoa Khanh Dam:
Egalitarian Transient Service Composition in Crowdsourced IoT Environment. IEEE Trans. Serv. Comput. 16(5): 3305-3317 (2023) - [c86]Saad Sajid Hashmi, Hoa Khanh Dam, Anton V. Uzunov, Mohan Baruwal Chhetri, Aditya Ghose, Alan Colman:
Goal-Driven Adversarial Search for Distributed Self-Adaptive Systems. SSE 2023: 198-209 - [c85]Ahmad Alelaimat, Aditya Ghose, Hoa Khanh Dam:
Mining and Validating Belief-Based Agent Explanations. EXTRAAMAS 2023: 3-17 - [c84]Ahmad Alelaimat, Aditya Ghose, Hoa Khanh Dam:
Leveraging Imperfect Explanations for Plan Recognition Problems. EXTRAAMAS 2023: 231-248 - [c83]Xing Hu, Hoa Khanh Dam:
Future of Software Engineering @ ICSE 2023. ICSE-FoSE 2023: 1-3 - [c82]Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Aditya Ghose:
On Privacy Weaknesses and Vulnerabilities in Software Systems. ICSE 2023: 1071-1083 - [i21]Asjad Khan, Aditya Ghose, Hoa Khanh Dam, Arsal Syed:
A Survey of Process-Oriented Data Science and Analytics for supporting Business Process Management. CoRR abs/2301.10398 (2023) - [i20]Asjad Khan, Arsal Huda, Aditya Ghose, Hoa Khanh Dam:
Towards Knowledge-Centric Process Mining. CoRR abs/2301.10927 (2023) - [i19]Thong Hoang, Hoa Khanh Dam, Tingting Bi, Qinghua Lu, Zhenchang Xing, Liming Zhu, Lam Duc Nguyen, Shiping Chen:
Quantum Software Analytics: Opportunities and Challenges. CoRR abs/2307.11305 (2023) - 2022
- [j19]Abdulaziz Alhefdhi, Hoa Khanh Dam, Yusuf Sulistyo Nugroho, Hideaki Hata, Takashi Ishio, Aditya Ghose:
A framework for conditional statement technical debt identification and description. Autom. Softw. Eng. 29(2): 60 (2022) - [j18]Jirayus Jiarpakdee, Chakkrit Kla Tantithamthavorn, Hoa Khanh Dam, John C. Grundy:
An Empirical Study of Model-Agnostic Techniques for Defect Prediction Models. IEEE Trans. Software Eng. 48(2): 166-185 (2022) - [c81]Saad Sajid Hashmi, Hoa Khanh Dam, Peter Smet, Mohan Baruwal Chhetri:
Towards Antifragility in Contested Environments: Using Adversarial Search to Learn, Predict, and Counter Open-Ended Threats. ACSOS 2022: 141-146 - [c80]Aditya Ghose, Hoa Khanh Dam, Shunichiro Tomura, Dean Philp, Angela Consoli:
Goal-Oriented Coordination with Cumulative Goals. PRIMA 2022: 260-280 - [c79]Helena Ibro, Geeta Mahala, Simon Pulawski, Steven Harvey, Alexis Andrew Miller, Aditya Ghose, Hoa Khanh Dam:
DITURIA: A Framework for Decision Coordination Among Multiple Agents. PRIMA 2022: 492-508 - [i18]Quynh Nguyen, Dac H. Nguyen, Son T. Huynh, Hoa Khanh Dam, Binh T. Nguyen:
TaDeR: A New Task Dependency Recommendation for Project Management Platform. CoRR abs/2205.05976 (2022) - 2021
- [j17]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Chaiyong Ragkhitwetsagul, Aditya Ghose:
Automatically recommending components for issue reports using deep learning. Empir. Softw. Eng. 26(1): 14 (2021) - [j16]Hoa Khanh Dam, Truyen Tran, Trang Pham, Shien Wee Ng, John Grundy, Aditya Ghose:
Automatic Feature Learning for Predicting Vulnerable Software Components. IEEE Trans. Software Eng. 47(1): 67-85 (2021) - [c78]Simon Pulawski, Hoa Khanh Dam, Aditya Ghose:
BDI-Dojo: developing robust BDI agents in evolving adversarial environments. ACSOS-C 2021: 257-262 - [c77]Muhammad Asjad Khan, Aditya Ghose, Khanh Hoa Dam:
Decision Support for Knowledge Intensive Processes Using RL Based Recommendations. BPM (Forum) 2021: 246-262 - [c76]Simon Pulawski, Helena Ibro, Geeta Mahala, Aditya Ghose, Hoa Khanh Dam:
Extracting and Leveraging Value from a Decision Interdependency Network (DIN) in a Policing/Law Enforcement Setting. EDOC Workshops 2021: 28-37 - [c75]Davoud Mougouei, Aditya Ghose, Hoa Khanh Dam, Mahdi Fahmideh, David M. W. Powers:
A Fuzzy-Based Requirement Selection Method for Considering Value Dependencies in Software Release Planning. FUZZ-IEEE 2021: 1-6 - [c74]Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Hoa Khanh Dam, Renuka Sindhgatta:
DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System. ICSOC 2021: 19-33 - [c73]Asjad Khan, Aditya Ghose, Hoa Khanh Dam:
Cross-Silo Process Mining with Federated Learning. ICSOC 2021: 612-626 - [i17]Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Aditya Ghose:
A Taxonomy for Mining and Classifying Privacy Requirements in Issue Reports. CoRR abs/2101.01298 (2021) - [i16]Davoud Mougouei, Aditya K. Ghose, Hoa Khanh Dam, David M. W. Powers:
Human Values in Software Release Planning. CoRR abs/2102.02584 (2021) - [i15]Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Aditya Ghose:
Mining and Classifying Privacy and Data Protection Requirements in Issue Reports. CoRR abs/2112.13994 (2021) - [i14]Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Aditya Ghose:
Common Privacy Weaknesses and Vulnerabilities in Software Applications. CoRR abs/2112.13997 (2021) - 2020
- [c72]Aditya Ghose, Geeta Mahala, Simon Pulawski, Hoa Khanh Dam:
The Future of Robotic Process Automation (RPA). ICSOC Workshops 2020: 273-280 - [c71]Geeta Mahala, Renuka Sindhgatta, Hoa Khanh Dam, Aditya Ghose:
Designing Optimal Robotic Process Automation Architectures. ICSOC 2020: 448-456 - [c70]Kinzang Chhogyal, Angela Consoli, Aditya Ghose, Hoa Khanh Dam:
G2I: A principled approach to leveraging the goal-to-information nexus in BDI agents. KES 2020: 2675-2684 - [c69]Ahmad Alelaimat, Aditya Ghose, Hoa Khanh Dam:
Abductive Design of BDI Agent-Based Digital Twins of Organizations. PRIMA 2020: 377-385 - [c68]Wisam Haitham Abbood Al-Zubaidi, Patanamon Thongtanunam, Hoa Khanh Dam, Chakkrit Tantithamthavorn, Aditya Ghose:
Workload-aware reviewer recommendation using a multi-objective search-based approach. PROMISE 2020: 21-30 - [i13]Abdulaziz Alhefdhi, Hoa Khanh Dam, Xuan-Bach Dinh Le, Aditya Ghose:
Adversarial Patch Generation for Automatic Program Repair. CoRR abs/2012.11060 (2020) - [i12]Abdulaziz Alhefdhi, Hoa Khanh Dam, Yusuf Sulistyo Nugroho, Hideaki Hata, Takashi Ishio, Aditya Ghose:
A Framework for Self-Admitted Technical Debt Identification and Description. CoRR abs/2012.12466 (2020)
2010 – 2019
- 2019
- [j15]Hoa Khanh Dam:
Artificial intelligence for software engineering. XRDS 25(3): 34-37 (2019) - [j14]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies:
A Deep Learning Model for Estimating Story Points. IEEE Trans. Software Eng. 45(7): 637-656 (2019) - [c67]Yingzhi Gou, Aditya Ghose, Hoa Khanh Dam:
GameOfFlows: Process Instance Adaptation in Complex, Dynamic and Potentially Adversarial Domains. CAiSE 2019: 479-493 - [c66]Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya Ghose, Yasutaka Kamei:
Towards effective AI-powered agile project management. ICSE (NIER) 2019: 41-44 - [c65]Jack Humphreys, Hoa Khanh Dam:
An explainable deep model for defect prediction. RAISE@ICSE 2019: 49-55 - [c64]Kinzang Chhogyal, Abhaya C. Nayak, Aditya Ghose, Hoa Khanh Dam:
A Value-based Trust Assessment Model for Multi-agent Systems. IJCAI 2019: 194-200 - [c63]Thong Hoang, Hoa Khanh Dam, Yasutaka Kamei, David Lo, Naoyasu Ubayashi:
DeepJIT: an end-to-end deep learning framework for just-in-time defect prediction. MSR 2019: 34-45 - [c62]Hoa Khanh Dam, Trang Pham, Shien Wee Ng, Truyen Tran, John C. Grundy, Aditya Ghose, Taeksu Kim, Chul-Joo Kim:
Lessons learned from using a deep tree-based model for software defect prediction in practice. MSR 2019: 46-57 - [i11]Kinzang Chhogyal, Abhaya C. Nayak, Aditya Ghose, Hoa Khanh Dam:
A Value-based Trust Assessment Model for Multi-agent Systems. CoRR abs/1905.13380 (2019) - 2018
- [j13]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose, John Grundy:
Predicting Delivery Capability in Iterative Software Development. IEEE Trans. Software Eng. 44(6): 551-573 (2018) - [c61]Wisam Haitham Abbood Al-Zubaidi, Hoa Khanh Dam, Morakot Choetkiertikul, Aditya Ghose:
Multi-Objective Iteration Planning in Agile Development. APSEC 2018: 484-493 - [c60]Hoa Khanh Dam:
Empowering Software Engineering with Artificial Intelligence. ASSRI 2018: 22-32 - [c59]Abdulaziz Alhefdhi, Hoa Khanh Dam, Hideaki Hata, Aditya Ghose:
Generating Pseudo-Code from Source Code Using Deep Learning. ASWEC 2018: 21-25 - [c58]Renuka Sindhgatta, Aditya Ghose, Hoa Khanh Dam:
Leveraging Unstructured Data to Analyze Implicit Process Context. BPM (Forum) 2018: 143-158 - [c57]Karthikeyan Ponnalagu, Aditya Ghose, Hoa Khanh Dam:
Leveraging Regression Algorithms for Predicting Process Performance Using Goal Alignments. Business Process Management Workshops 2018: 325-331 - [c56]Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Explainable software analytics. ICSE (NIER) 2018: 53-56 - [c55]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose:
Predicting components for issue reports using deep learning with information retrieval. ICSE (Companion Volume) 2018: 244-245 - [c54]Daiki Takata, Abdulaziz Alhefdhi, Maipradit Rungroj, Hideaki Hata, Hoa Khanh Dam, Takashi Ishio, Kenichi Matsumoto:
Catalogen: Generating Catalogs of Code Examples Collected from OSS. DySDoc@ICSME 2018: 11-12 - [c53]Karthikeyan Ponnalagu, Aditya Ghose, Hoa Khanh Dam:
Leveraging Regression Algorithms for Process Performance Predictions. ICSOC 2018: 524-531 - [i10]Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Explainable Software Analytics. CoRR abs/1802.00603 (2018) - [i9]Hoa Khanh Dam, Trang Pham, Shien Wee Ng, Truyen Tran, John Grundy, Aditya Ghose, Taeksu Kim, Chul-Joo Kim:
A deep tree-based model for software defect prediction. CoRR abs/1802.00921 (2018) - [i8]Muhammad Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Khanh Hoa Dam, Renuka Sindhgatta:
Memory-Augmented Neural Networks for Predictive Process Analytics. CoRR abs/1802.00938 (2018) - [i7]Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya Ghose, Yasutaka Kamei:
Towards effective AI-powered agile project management. CoRR abs/1812.10578 (2018) - 2017
- [j12]Metta Santiputri, Aditya K. Ghose, Hoa Khanh Dam:
Mining task post-conditions: Automating the acquisition of process semantics. Data Knowl. Eng. 109: 112-125 (2017) - [j11]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Predicting the delay of issues with due dates in software projects. Empir. Softw. Eng. 22(3): 1223-1263 (2017) - [c52]Shien Wee Ng, Hoa Khanh Dam, Morakot Choetkiertikul, Aditya Ghose:
Predicting Issues for Resolving in the Next Release. ASSRI 2017: 164-177 - [c51]Yingzhi Gou, Aditya K. Ghose, Hoa Khanh Dam:
Leveraging Game-Tree Search for Robust Process Enactment. CAiSE 2017: 461-476 - [c50]Metta Santiputri, Novarun Deb, Muhammad Asjad Khan, Aditya Ghose, Hoa Khanh Dam, Nabendu Chaki:
Mining Goal Refinement Patterns: Distilling Know-How from Data. ER 2017: 69-76 - [c49]Metta Santiputri, Aditya Ghose, Hoa Khanh Dam, Suman Roy:
Goal Orchestrations: Modelling and Mining Flexible Business Processes. ER 2017: 373-387 - [c48]Wisam Haitham Abbood Al-Zubaidi, Hoa Khanh Dam, Aditya Ghose, Xiaodong Li:
Multi-objective search-based approach to estimate issue resolution time. PROMISE 2017: 53-62 - [i6]Hoa Khanh Dam, Truyen Tran, Trang Pham, Shien Wee Ng, John Grundy, Aditya Ghose:
Automatic feature learning for vulnerability prediction. CoRR abs/1708.02368 (2017) - [i5]Trang Pham, Truyen Tran, Khanh Hoa Dam, Svetha Venkatesh:
Graph Classification via Deep Learning with Virtual Nodes. CoRR abs/1708.04357 (2017) - 2016
- [j10]Hoa Khanh Dam, Lam-Son Lê, Aditya Ghose:
Managing changes in the enterprise architecture modelling context. Enterp. Inf. Syst. 10(6): 666-696 (2016) - [j9]Hoa Khanh Dam, Alexander Egyed, Michael Winikoff, Alexander Reder, Roberto E. Lopez-Herrejon:
Consistent merging of model versions. J. Syst. Softw. 112: 137-155 (2016) - [c47]Renuka Sindhgatta, Aditya K. Ghose, Hoa Khanh Dam:
Context-Aware Analysis of Past Process Executions to Aid Resource Allocation Decisions. CAiSE 2016: 575-589 - [c46]Tony Savarimuthu, Hoa Khanh Dam, Sherlock A. Licorish, Smitha Keertipati, Daniel Avery, Aditya K. Ghose:
Process Compliance in Open Source Software Development - a Study of Python enhancement Proposals (PEPS). ECIS 2016: Research Paper 48 - [c45]Renuka Sindhgatta, Aditya K. Ghose, Hoa Khanh Dam:
Context-Aware Recommendation of Task Allocations in Service Systems. ICSOC 2016: 402-416 - [c44]Daniel Avery, Hoa Khanh Dam, Bastin Tony Roy Savarimuthu, Aditya K. Ghose:
Externalization of software behavior by the mining of norms. MSR 2016: 223-234 - [c43]Hoa Khanh Dam, Aditya K. Ghose:
Analyzing Topics and Trends in the PRIMA Literature. PRIMA 2016: 216-229 - [c42]Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya K. Ghose:
DeepSoft: a vision for a deep model of software. SIGSOFT FSE 2016: 944-947 - [e3]Alex Norta, Walid Gaaloul, G. R. Gangadharan, Hoa Khanh Dam:
Service-Oriented Computing - ICSOC 2015 Workshops - WESOA, RMSOC, ISC, DISCO, WESE, BSCI, FOR-MOVES, Goa, India, November 16-19, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9586, Springer 2016, ISBN 978-3-662-50538-0 [contents] - [i4]Hoa Khanh Dam, Truyen Tran, John Grundy, Aditya K. Ghose:
DeepSoft: A vision for a deep model of software. CoRR abs/1608.00092 (2016) - [i3]Hoa Khanh Dam, Truyen Tran, Trang Pham:
A deep language model for software code. CoRR abs/1608.02715 (2016) - [i2]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies:
A deep learning model for estimating story points. CoRR abs/1609.00489 (2016) - 2015
- [j8]Jantima Polpinij, Aditya K. Ghose, Hoa Khanh Dam:
Mining business rules from business process model repositories. Bus. Process. Manag. J. 21(4): 820-836 (2015) - [j7]Hoa Khanh Dam, Aditya Ghose:
Mining version histories for change impact analysis in business process model repositories. Comput. Ind. 67: 72-85 (2015) - [j6]Hoa Khanh Dam, Aditya Ghose, Mohammad Qasim:
An Agent-Mediated Platform for Business Processes. Int. J. Inf. Technol. Web Eng. 10(2): 43-61 (2015) - [j5]Hoa Khanh Dam, Jeremy V. Pitt, Guido Governatori, Takayuki Ito, Yang Xu:
Introduction to the Special Issue on Principles and Practices in Multi-Agent Systems. Scalable Comput. Pract. Exp. 16(4): iii (2015) - [c41]Morakot Choetkiertikul, Hoa Khanh Dam, Aditya K. Ghose:
Threshold-based prediction of schedule overrun in software projects. ASWEC (2) 2015: 81-85 - [c40]Morakot Choetkiertikul, Daniel Avery, Hoa Khanh Dam, Truyen Tran, Aditya K. Ghose:
Who Will Answer My Question on Stack Overflow? ASWEC 2015: 155-164 - [c39]Karthikeyan Ponnalagu, Aditya K. Ghose, Nanjangud C. Narendra, Hoa Khanh Dam:
Goal-Aligned Categorization of Instance Variants in Knowledge-Intensive Processes. BPM 2015: 350-364 - [c38]Ayu Saraswati, Chee Fon Chang, Aditya K. Ghose, Hoa Khanh Dam:
Learning Relationships Between the Business Layer and the Application Layer in ArchiMate Models. ER 2015: 499-513 - [c37]Metta Santiputri, Aditya K. Ghose, Hoa Khanh Dam, Xiong Wen:
Mining Process Task Post-Conditions. ER 2015: 514-527 - [c36]Hoa Khanh Dam, Bastin Tony Roy Savarimuthu, Daniel Avery, Aditya K. Ghose:
Mining Software Repositories for Social Norms. ICSE (2) 2015: 627-630 - [c35]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Predicting Delays in Software Projects Using Networked Classification (T). ASE 2015: 353-364 - [c34]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Characterization and Prediction of Issue-Related Risks in Software Projects. MSR 2015: 280-291 - [e2]Alistair Barros, Daniela Grigori, Nanjangud C. Narendra, Hoa Khanh Dam:
Service-Oriented Computing - 13th International Conference, ICSOC 2015, Goa, India, November 16-19, 2015, Proceedings. Lecture Notes in Computer Science 9435, Springer 2015, ISBN 978-3-662-48615-3 [contents] - 2014
- [j4]Hoa Khanh Dam:
Predicting change impact in Web service ecosystems. Int. J. Web Inf. Syst. 10(3): 275-290 (2014) - [c33]Aditya Ghose, Metta Santiputri, Ayu Saraswati, Hoa Khanh Dam:
Data-driven Requirements Modeling: Some Initial Results with i. APCCM 2014: 55-64 - [c32]Morakot Choetkiertikul, Hoa Khanh Dam, Aditya K. Ghose, Thanwadee Sunetnanta:
A CMMI-Based Automated Risk Assessment Framework. APSEC (2) 2014: 63-68 - [c31]Yingzhi Gou, Aditya K. Ghose, Chee Fon Chang, Hoa Khanh Dam, Andrew Miller:
Semantic Monitoring and Compensation in Socio-technical Processes. ER Workshops 2014: 117-126 - [c30]Karthikeyan Ponnalagu, Aditya Ghose, Nanjangud C. Narendra, Hoa Khanh Dam:
Discovering and Categorizing Goal Alignments from Mined Process Variants. ICSOC Workshops 2014: 144-157 - [c29]Aditya K. Ghose, Khanh Hoa Dam:
The Post-Theoretic Enterprise: A Service-Oriented View. SOCA 2014: 175-182 - [c28]Hoa Khanh Dam, Alexander Reder, Alexander Egyed:
Inconsistency Resolution in Merging Versions of Architectural Models. WICSA 2014: 153-162 - [e1]Hoa Khanh Dam, Jeremy V. Pitt, Yang Xu, Guido Governatori, Takayuki Ito:
PRIMA 2014: Principles and Practice of Multi-Agent Systems - 17th International Conference, Gold Coast, QLD, Australia, December 1-5, 2014. Proceedings. Lecture Notes in Computer Science 8861, Springer 2014, ISBN 978-3-319-13190-0 [contents] - [i1]Hoa Khanh Dam, Aditya Ghose:
Towards rational and minimal change propagation in model evolution. CoRR abs/1402.6046 (2014) - 2013
- [j3]Hoa Khanh Dam, Michael Winikoff:
Towards a next-generation AOSE methodology. Sci. Comput. Program. 78(6): 684-694 (2013) - [j2]Hoa Khanh Dam, Aditya Ghose:
Supporting change impact analysis for intelligent agent systems. Sci. Comput. Program. 78(9): 1728-1750 (2013) - [c27]Bastin Tony Roy Savarimuthu, Hoa Khanh Dam:
Towards Mining Norms in Open Source Software Repositories. ADMI 2013: 26-39 - [c26]Hong Linh Truong, Hoa Khanh Dam, Aditya Ghose, Schahram Dustdar:
Augmenting Complex Problem Solving with Hybrid Compute Units. ICSOC Workshops 2013: 95-110 - [c25]Hoa Khanh Dam, Tiancheng Zhang, Aditya Ghose:
Improving the Reactivity of BDI Agent Programs. PRIMA 2013: 85-100 - [c24]Yingzhi Gou, Hoa Khanh Dam, Aditya Ghose:
Towards Semantic Merging of Versions of BDI Agent Systems. PRIMA 2013: 437-444 - [p1]Munindar P. Singh, Matthew Arrott, Tina Balke, Amit K. Chopra, Rob Christiaanse, Stephen Cranefield, Frank Dignum, Davide Eynard, Emilia Farcas, Nicoletta Fornara, Fabien Gandon, Guido Governatori, Hoa Khanh Dam, Joris Hulstijn, Ingolf Krüger, Ho-Pun Lam, Michael Meisinger, Pablo Noriega, Bastin Tony Roy Savarimuthu, Kartik Tadanki, Harko Verhagen, Serena Villata:
The Uses of Norms. Normative Multi-Agent Systems 2013: 191-229 - 2012
- [c23]Tri A. Kurniawan, Aditya K. Ghose, Hoa Khanh Dam, Lam-Son Lê, Tiancheng Zhang:
Design Maintenance in Process Eco-Systems. IEEE SCC 2012: 392-399 - [c22]Hoa Khanh Dam, Aditya Ghose:
Dynamic change impact analysis for maintaining and evolving agent systems. AAMAS 2012: 1433-1434 - [c21]Tri A. Kurniawan, Aditya K. Ghose, Hoa Khanh Dam, Lam-Son Lê:
Relationship-Preserving Change Propagation in Process Ecosystems. ICSOC 2012: 63-78 - [c20]Konstantin Hoesch-Klohe, Aditya K. Ghose, Hoa Khanh Dam:
Maintaining Motivation Models (in BMM) in the Context of a (WSDL-S) Service Landscape. ICSOC 2012: 582-590 - 2011
- [j1]Hoa Khanh Dam, Michael Winikoff:
An agent-oriented approach to change propagation in software maintenance. Auton. Agents Multi Agent Syst. 23(3): 384-452 (2011) - [c19]Tri A. Kurniawan, Aditya K. Ghose, Lam-Son Lê, Hoa Khanh Dam:
On Formalizing Inter-process Relationships. Business Process Management Workshops (2) 2011: 75-86 - [c18]Hoa Khanh Dam, Aditya Ghose:
Automated change impact analysis for agent systems. ICSM 2011: 33-42 - [c17]Evan D. Morrison, Aditya K. Ghose, Hoa Khanh Dam, Kerry Hinge, Konstantin Hoesch-Klohe:
Strategic Alignment of Business Processes. ICSOC Workshops 2011: 9-21 - [c16]Hoa Khanh Dam, Aditya Ghose:
An agent-based framework for distributed collaborative model evolution. EVOL/IWPSE 2011: 121-130 - 2010
- [c15]Lam-Son Lê, Hoa Khanh Dam, Aditya Ghose:
On Business Services Representation - The 3 x 3 x 3 Approach. ACIS 2010 - [c14]Hoa Khanh Dam, Aditya Ghose:
Supporting Change Propagation in the Maintenance and Evolution of Service-Oriented Architectures. APSEC 2010: 156-165 - [c13]Hoa Khanh Dam, Lam-Son Lê, Aditya K. Ghose:
Supporting Change Propagation in the Evolution of Enterprise Architectures. EDOC 2010: 24-33 - [c12]Hoa Khanh Dam, Michael Winikoff:
Supporting change propagation in UML models. ICSM 2010: 1-10 - [c11]Jantima Polpinij, Andrew Miller, Aditya K. Ghose, Hoa Khanh Dam:
Ontology-based Text Analysis Approach to Retrieve Oncology Documents from PubMed Relevant to Cervical Cancer in Clinical Trials. ICDM (Workshops) 2010: 157-169 - [c10]Hoa Khanh Dam, Aditya Ghose:
Agent-Based Development for Business Processes. PRIMA 2010: 387-393 - [c9]Hoa Khanh Dam, Aditya Ghose:
An Agent-Oriented Approach to Service Analysis and Design. PRIMA 2010: 499-510 - [c8]Jantima Polpinij, Aditya K. Ghose, Hoa Khanh Dam:
Business Rules Discovery from Process Design Repositories. SERVICES 2010: 614-620
2000 – 2009
- 2008
- [c7]Khanh Hoa Dam, Michael Winikoff:
Evaluating an Agent-Oriented Approach for Change Propagation. AOSE 2008: 159-172 - [c6]Khanh Hoa Dam, Michael Winikoff:
Cost-based BDI plan selection for change propagation. AAMAS (1) 2008: 217-224 - [c5]Khanh Hoa Dam:
An agent-oriented approach to support change propagation in software evolution. AAMAS (PhD) 2008: 1736-1737 - 2007
- [c4]Khanh Hoa Dam, Michael Winikoff:
Generation of Repair Plans for Change Propagation. AOSE 2007: 132-146 - 2006
- [c3]Khanh Hoa Dam, Michael Winikoff, Lin Padgham:
An agent-oriented approach to change propagation in software evolution. ASWEC 2006: 309-318 - 2003
- [c2]Khanh Hoa Dam, Michael Winikoff:
Comparing Agent-Oriented Methodologies. AOIS 2003: 78-93 - [c1]Xiaodong Li, Khanh Hoa Dam:
Comparing particle swarms for tracking extrema in dynamic environments. IEEE Congress on Evolutionary Computation 2003: 1772-1779
Coauthor Index
Aditya Ghose
aka: Aditya K. Ghose
aka: Aditya K. Ghose
[j31] [j30] [j29] [j28] [c90] [c89] [j27] [j26] [j25] [j24] [j23] [j22] [j20] [c86] [c85] [c84] [c82] [i21] [i20] [j19] [c80] [c79] [j17] [j16] [c78] [c77] [c76] [c75] [c74] [c73] [i17] [i16] [i15] [i14] [c72] [c71] [c70] [c69] [c68] [i13] [i12] [j14] [c67] [c66] [c64] [c62] [i11] [j13] [c61] [c59] [c58] [c57] [c56] [c55] [c53] [i10] [i9] [i8] [i7] [j12] [j11] [c52] [c51] [c50] [c49] [c48] [i6] [j10] [c47] [c46] [c45] [c44] [c43] [c42] [i4] [i2] [j8] [j7] [j6] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [i1] [j2] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c11] [c10] [c9] [c8]
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