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Aditya Ghose
Aditya K. Ghose
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- affiliation: University of Wollongong, Australia
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2020 – today
- 2025
- [j53]Hong Quy Nguyen, Thong Hoang, Hoa Khanh Dam, Aditya Ghose:
Graph-based explainable vulnerability prediction. Inf. Softw. Technol. 177: 107566 (2025) - 2024
- [j52]Abdulaziz Alhefdhi, Hoa Khanh Dam, Aditya Ghose:
Towards automating self-admitted technical debt repayment. Inf. Softw. Technol. 167: 107376 (2024) - [j51]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) - [j50]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) - [c227]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 - [c226]Geeta Mahala, Aditya Ghose, Hoa Khanh Dam, Angela Consoli:
Verifying Multi -Agent Coordination Correctness for BDI Agents. COMPSAC 2024: 21-26 - 2023
- [j49]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) - [j48]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) - [j47]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) - [j46]Mahdi Fahmideh, John C. Grundy, Aakash Ahmad, Jun Shen, Jun Yan, Davoud Mougouei, Peng Wang, Aditya Ghose, Anuradha Gunawardana, Uwe Aickelin, Babak Abedin:
Engineering Blockchain-based Software Systems: Foundations, Survey, and Future Directions. ACM Comput. Surv. 55(6): 110:1-110:44 (2023) - [j45]Aditya Ghose, Jennifer Horkoff, Vítor E. Silva Souza, Jeffrey Parsons, Joerg Evermann:
Preface. Data Knowl. Eng. 145: 102177 (2023) - [j44]Rebecca Morgan, Simon Pulawski, Matt Selway, Aditya Ghose, Georg Grossmann, Wolfgang Mayer, Markus Stumptner, Ross Kyprianou:
Modelling temporal goals in runtime goal models. Data Knowl. Eng. 147: 102205 (2023) - [j43]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) - [j42]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) - [j41]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) - [j40]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) - [c225]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 - [c224]Ahmed Dawoud, Geeta Mahala, Chadni Islam, Wolfgang Mayer, Aditya Ghose, Muhammad Ali Babar, Markus Stumptner, Georg Grossmann:
A Goal-Driven Approach to Support Decision-Making with Incomplete Information in Cyber Operations. CAiSE Forum 2023: 77-85 - [c223]Ahmad Alelaimat, Aditya Ghose, Hoa Khanh Dam:
Mining and Validating Belief-Based Agent Explanations. EXTRAAMAS 2023: 3-17 - [c222]Ahmad Alelaimat, Aditya Ghose, Hoa Khanh Dam:
Leveraging Imperfect Explanations for Plan Recognition Problems. EXTRAAMAS 2023: 231-248 - [c221]Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Aditya Ghose:
On Privacy Weaknesses and Vulnerabilities in Software Systems. ICSE 2023: 1071-1083 - [i22]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) - [i21]Asjad Khan, Arsal Huda, Aditya Ghose, Hoa Khanh Dam:
Towards Knowledge-Centric Process Mining. CoRR abs/2301.10927 (2023) - 2022
- [j39]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) - [c220]Krishna Gaur, Raghu Raj Sodani, Akshat Dobriyal, Anuj Mohan Pillai, Swasti Khurana, Novarun Deb, Sajib Mistry, Aditya K. Ghose:
An Optimization Ontology for Goal Modelling Frameworks. EDOC Workshops 2022: 96-108 - [c219]Rebecca Morgan, Simon Pulawski, Matt Selway, Wolfgang Mayer, Georg Grossmann, Markus Stumptner, Aditya Ghose, Ross Kyprianou:
Modeling Rates of Change and Aggregations in Runtime Goal Models. ER 2022: 397-412 - [c218]Aditya Ghose, Hoa Khanh Dam, Shunichiro Tomura, Dean Philp, Angela Consoli:
Goal-Oriented Coordination with Cumulative Goals. PRIMA 2022: 260-280 - [c217]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 - 2021
- [j38]Athman Bouguettaya, Quan Z. Sheng, Boualem Benatallah, Azadeh Ghari Neiat, Sajib Mistry, Aditya Ghose, Surya Nepal, Lina Yao:
An internet of things service roadmap. Commun. ACM 64(9): 86-95 (2021) - [j37]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) - [j36]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) - [c216]Simon Pulawski, Hoa Khanh Dam, Aditya Ghose:
BDI-Dojo: developing robust BDI agents in evolving adversarial environments. ACSOS-C 2021: 257-262 - [c215]Rik Eshuis, Aditya Ghose:
Consistency Checking of Goal Models and Case Management Schemas. BPM (Forum) 2021: 54-70 - [c214]Muhammad Asjad Khan, Aditya Ghose, Khanh Hoa Dam:
Decision Support for Knowledge Intensive Processes Using RL Based Recommendations. BPM (Forum) 2021: 246-262 - [c213]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 - [c212]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 - [c211]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 - [c210]Amin Beheshti, Boualem Benatallah, Quan Z. Sheng, Fabio Casati, Hamid Reza Motahari-Nezhad, Jian Yang, Aditya Ghose:
AI-Enabled Processes: The Age of Artificial Intelligence and Big Data. ICSOC Workshops 2021: 321-335 - [c209]Asjad Khan, Aditya Ghose, Hoa Khanh Dam:
Cross-Silo Process Mining with Federated Learning. ICSOC 2021: 612-626 - [e13]Aditya K. Ghose, Jennifer Horkoff, Vítor E. Silva Souza, Jeffrey Parsons, Joerg Evermann:
Conceptual Modeling - 40th International Conference, ER 2021, Virtual Event, October 18-21, 2021, Proceedings. Lecture Notes in Computer Science 13011, Springer 2021, ISBN 978-3-030-89021-6 [contents] - [i20]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) - [i19]Davoud Mougouei, Aditya K. Ghose, Hoa Khanh Dam, David M. W. Powers:
Human Values in Software Release Planning. CoRR abs/2102.02584 (2021) - [i18]Athman Bouguettaya, Quan Z. Sheng, Boualem Benatallah, Azadeh Ghari Neiat, Sajib Mistry, Aditya Ghose, Surya Nepal, Lina Yao:
An Internet of Things Service Roadmap. CoRR abs/2103.03043 (2021) - [i17]Mahdi Fahmideh, John Grundy, Aakash Ahmed, Jun Shen, Jun Yan, Davoud Mougouei, Peng Wang, Aditya Ghose, Anuradha Gunawardana, Uwe Aickelin, Babak Abedin:
Software Engineering for Blockchain Based Software Systems: Foundations, Survey, and Future Directions. CoRR abs/2105.01881 (2021) - [i16]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) - [i15]Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Aditya Ghose:
Common Privacy Weaknesses and Vulnerabilities in Software Applications. CoRR abs/2112.13997 (2021) - 2020
- [c208]Renuka Sindhgatta, Arthur H. M. ter Hofstede, Aditya Ghose:
Resource-Based Adaptive Robotic Process Automation - Formal/Technical Paper. CAiSE 2020: 451-466 - [c207]Aditya Ghose, Geeta Mahala, Simon Pulawski, Hoa Khanh Dam:
The Future of Robotic Process Automation (RPA). ICSOC Workshops 2020: 273-280 - [c206]Geeta Mahala, Renuka Sindhgatta, Hoa Khanh Dam, Aditya Ghose:
Designing Optimal Robotic Process Automation Architectures. ICSOC 2020: 448-456 - [c205]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 - [c204]Ahmad Alelaimat, Aditya Ghose, Hoa Khanh Dam:
Abductive Design of BDI Agent-Based Digital Twins of Organizations. PRIMA 2020: 377-385 - [c203]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 - [c202]Aditya Ghose:
Collaborative optimization networks. SIET 2020: 1-4 - [i14]Abdulaziz Alhefdhi, Hoa Khanh Dam, Xuan-Bach Dinh Le, Aditya Ghose:
Adversarial Patch Generation for Automatic Program Repair. CoRR abs/2012.11060 (2020) - [i13]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
- [j35]Aditya Ghose, Hamid R. Motahari Nezhad, Manfred Reichert:
Guest Editors' Introduction to the Special Issue on Knowledge-Driven Business Process Management. ACM Trans. Internet Techn. 19(1): 11:1-11:2 (2019) - [j34]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) - [c201]Yingzhi Gou, Aditya Ghose, Hoa Khanh Dam:
GameOfFlows: Process Instance Adaptation in Complex, Dynamic and Potentially Adversarial Domains. CAiSE 2019: 479-493 - [c200]Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya Ghose, Yasutaka Kamei:
Towards effective AI-powered agile project management. ICSE (NIER) 2019: 41-44 - [c199]Kinzang Chhogyal, Abhaya C. Nayak, Aditya Ghose, Hoa Khanh Dam:
A Value-based Trust Assessment Model for Multi-agent Systems. IJCAI 2019: 194-200 - [c198]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 - [e12]Xiao Liu, Michael Mrissa, Liang Zhang, Djamal Benslimane, Aditya Ghose, Zhongjie Wang, Antonio Bucchiarone, Wei Zhang, Ying Zou, Qi Yu:
Service-Oriented Computing - ICSOC 2018 Workshops - ADMS, ASOCA, ISYyCC, CloTS, DDBS, and NLS4IoT, Hangzhou, China, November 12-15, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11434, Springer 2019, ISBN 978-3-030-17641-9 [contents] - [i12]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) - [i11]Kinzang Chhogyal, Abhaya C. Nayak, Aditya Ghose, Mehmet Ali Orgun:
On Conforming and Conflicting Values. CoRR abs/1907.01682 (2019) - 2018
- [j33]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) - [c197]Wisam Haitham Abbood Al-Zubaidi, Hoa Khanh Dam, Morakot Choetkiertikul, Aditya Ghose:
Multi-Objective Iteration Planning in Agile Development. APSEC 2018: 484-493 - [c196]Abdulaziz Alhefdhi, Hoa Khanh Dam, Hideaki Hata, Aditya Ghose:
Generating Pseudo-Code from Source Code Using Deep Learning. ASWEC 2018: 21-25 - [c195]Renuka Sindhgatta, Aditya Ghose, Hoa Khanh Dam:
Leveraging Unstructured Data to Analyze Implicit Process Context. BPM (Forum) 2018: 143-158 - [c194]Karthikeyan Ponnalagu, Aditya Ghose, Hoa Khanh Dam:
Leveraging Regression Algorithms for Predicting Process Performance Using Goal Alignments. Business Process Management Workshops 2018: 325-331 - [c193]Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Explainable software analytics. ICSE (NIER) 2018: 53-56 - [c192]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 - [c191]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
- [j32]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) - [j31]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) - [j30]Mohamed S. Barakat, Matthew Field, Aditya Ghose, David Stirling, Lois Holloway, Shalini K. Vinod, Andre Dekker, David I. Thwaites:
The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance. Health Inf. Sci. Syst. 5(1): 16 (2017) - [j29]Dipankar Deb, Aditya Ghose, Nabendu Chaki:
A framework for business process modeling by QoS-based pruning. Innov. Syst. Softw. Eng. 13(4): 271-278 (2017) - [c190]Ahmad Alelaimat, Metta Santiputri, Yingzhi Gou, Aditya Ghose:
Learning Planning Model for Semantic Process Compensation. ASSRI 2017: 35-47 - [c189]Shien Wee Ng, Hoa Khanh Dam, Morakot Choetkiertikul, Aditya Ghose:
Predicting Issues for Resolving in the Next Release. ASSRI 2017: 164-177 - [c188]Yingzhi Gou, Aditya K. Ghose, Hoa Khanh Dam:
Leveraging Game-Tree Search for Robust Process Enactment. CAiSE 2017: 461-476 - [c187]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 - [c186]Metta Santiputri, Aditya Ghose, Hoa Khanh Dam, Suman Roy:
Goal Orchestrations: Modelling and Mining Flexible Business Processes. ER 2017: 373-387 - [c185]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) - 2016
- [j28]Hoa Khanh Dam, Lam-Son Lê, Aditya Ghose:
Managing changes in the enterprise architecture modelling context. Enterp. Inf. Syst. 10(6): 666-696 (2016) - [j27]Kenny K. N. Chow, D. Fox Harrell, Ka Yan Wong, Aditya K. Ghose:
Provoking Imagination and Emotion Through a Lively Mobile Phone: A User Experience Study. Interact. Comput. 28(4): 451-461 (2016) - [j26]Novarun Deb, Nabendu Chaki, Aditya Ghose:
Extracting finite state models from i* models. J. Syst. Softw. 121: 265-280 (2016) - [c184]Renuka Sindhgatta, Aditya K. Ghose, Hoa Khanh Dam:
Context-Aware Analysis of Past Process Executions to Aid Resource Allocation Decisions. CAiSE 2016: 575-589 - [c183]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 - [c182]Suman Roy, Metta Santiputri, Aditya K. Ghose:
Annotating and Mining for Effects of Processes. ER 2016: 302-310 - [c181]Rahul Ghosh, Aditya Ghose, Aditya Hegde, Tridib Mukherjee, Adrian Mos:
QoS-Driven Management of Business Process Variants in Cloud Based Execution Environments. ICSOC 2016: 55-69 - [c180]Renuka Sindhgatta, Aditya K. Ghose, Hoa Khanh Dam:
Context-Aware Recommendation of Task Allocations in Service Systems. ICSOC 2016: 402-416 - [c179]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 - [c178]Hoa Khanh Dam, Aditya K. Ghose:
Analyzing Topics and Trends in the PRIMA Literature. PRIMA 2016: 216-229 - [c177]Narayan Changder, Animesh Dutta, Aditya K. Ghose:
Coalition Structure Formation Using Anytime Dynamic Programming. PRIMA 2016: 295-309 - [c176]Novarun Deb, Nabendu Chaki, Aditya K. Ghose:
i*ToNuSMV: A Prototype for Enabling Model Checking of i* Models. RE 2016: 397-398 - [c175]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 - [i5]Hoa Khanh Dam, Truyen Tran, John Grundy, Aditya K. Ghose:
DeepSoft: A vision for a deep model of software. CoRR abs/1608.00092 (2016) - [i4]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
- [j25]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) - [j24]Hoa Khanh Dam, Aditya Ghose:
Mining version histories for change impact analysis in business process model repositories. Comput. Ind. 67: 72-85 (2015) - [j23]Xavier Franch, Grace A. Lewis, Aditya Ghose:
Guest Editors' Introduction. Int. J. Cooperative Inf. Syst. 24(3): 1502002:1-1502002:3 (2015) - [j22]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) - [j21]Graham Billiau, Chee Fon Chang, Aditya K. Ghose:
Multi-Objective Distributed Constraint Optimization using Semi-Rings. Scalable Comput. Pract. Exp. 16(4): 403-422 (2015) - [c174]Morakot Choetkiertikul, Hoa Khanh Dam, Aditya K. Ghose:
Threshold-based prediction of schedule overrun in software projects. ASWEC (2) 2015: 81-85 - [c173]Morakot Choetkiertikul, Daniel Avery, Hoa Khanh Dam, Truyen Tran, Aditya K. Ghose:
Who Will Answer My Question on Stack Overflow? ASWEC 2015: 155-164 - [c172]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 - [c171]Dipankar Deb, Nabendu Chaki, Aditya K. Ghose:
Business Process Generation by Leveraging Complete Search over a Space of Activities and Process Goals. CLOSER 2015: 233-240 - [c170]Ayu Saraswati, Chee Fon Chang, Aditya K. Ghose, Hoa Khanh Dam