Biography
Dr. Chetan Arora is a Senior Lecturer in Software Engineering (SE), with a focus on applied Artificial Intelligence in SE. He received his Ph.D. degree from the University of Luxembourg (Luxembourg), Masters degree in SE from the Technische Universität Kaiserslautern (Germany), and Bachelors in Engineering (CS) degree from Thapar University (India). He is the recipient of the best Ph.D. thesis award in the ICT domain at Uni Luxembourg.
Prior to joining Deakin University, he worked at SES Satellites (Luxembourg) in the department of Innovation Programs on applied AI for IoT and Satcom. He's also worked as an FNR-PPP research fellow at the University of Luxembourg in software quality assurance. His main areas of research interest are applied AI (ML and NLP), IoT, and software engineering with an emphasis on requirements management and software trustworthiness.
Read more on Chetan's profile
Knowledge areas
Empirical Software Engineering
Requirements Engineering
Applied Natural Language Processing and Machine Learning
Publications
Requirements engineering for artificial intelligence systems: A systematic mapping study
Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora, Muneera Bano, John Grundy
(2023), Vol. 158, pp. 1-21, Information and Software Technology, Amsterdam, The Netherlands, C1
Requirements practices and gaps when engineering human-centered Artificial Intelligence systems
K Ahmad, M Abdelrazek, C Arora, M Bano, J Grundy
(2023), Vol. 143, pp. 1-15, Applied Soft Computing, Amsterdam, The Netherlands, C1
Requirements engineering framework for human-centered artificial intelligence software systems
K Ahmad, M Abdelrazek, C Arora, A Agrahari Baniya, M Bano, J Grundy
(2023), Vol. 143, Applied Soft Computing, C1
Extracting Queryable Knowledge Graphs from User Stories: An Empirical Evaluation
A Ladeinde, C Arora, H Khalajzadeh, T Kanij, J Grundy
(2023), Vol. 2023-April, pp. 684-692, ENASE 2023 : Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering 2023, Prague, Czech Republic, E1
Requirements Elicitation and Modelling of Artificial Intelligence Systems: An Empirical Study
K Ahmad, M Abdelrazek, C Arora, J Grundy, M Bano
(2023), Vol. 1, pp. 126-137, ENASE 2023 : Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering 2023, Prague, Czech Republic, E1
Persona-based Assessment of Software Engineering Student Research Projects: An Experience Report
Chetan Arora, Laura Tubino, Andrew Cain, Kevin Lee, Vasudha Malhotra
(2023), pp. 1-12, ICSE-SEET 2023 : Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, Melbourne, Victoria, E1
Towards Human-Centred Crowd Computing: Software for Better Use of Computational Resources
Niroshinie Fernando, Chetan Arora, Seng Loke, Lubna Alam, Stephen La Macchia, Helen Graesser
(2023), pp. 90-94, ICSE-NIER 2023 : Proceedings of the IEEE/ACM 45th International Conference on Software Engineering: New Ideas and Emerging Results, Melbourne, Victoria, E1
Multi-Modal Emotion Recognition for Enhanced Requirements Engineering: A Novel Approach
B Cheng, C Arora, X Liu, T Hoang, Y Wang, J Grundy
(2023), Vol. 2023-September, pp. 299-304, Proceedings of the IEEE International Conference on Requirements Engineering, E1
PersonaGen: A Tool for Generating Personas from User Feedback
Xishuo Zhang, Lin Liu, Yi Wang, Xiao Liu, Hailong Wang, Anqi Ren, Chetan Arora
(2023), pp. 1-2, RE 2023 : Proceedings 1st International Requirements Engineering Conference, Hannover, Germany, E1
ModelOps for enhanced decision-making and governance in emergency control rooms
K Lefevre, C Arora, K Lee, A Zaslavsky, M Bouadjenek, A Hassani, I Razzak
(2022), pp. 1-15, Environment Systems and Decisions, Berlin, Germany, C1
Automated Handling of Anaphoric Ambiguity in Requirements: A Multi-solution Study
S Ezzini, S Abualhaija, C Arora, M Sabetzadeh
(2022), pp. 187-199, ICSE '22: Proceedings of the 44th International Conference on Software Engineering, Pittsburgh, Pa., E1
Characterizing Human Aspects in Reviews of COVID-19 Apps
M Fazzini, H Khalajzadeh, O Haggag, Z Li, H Obie, C Arora, W Hussain, J Grundy
(2022), pp. 38-49, MobileSoft 2022 : Proceedings of the 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems, Pittsburgh, Pa., E1
Jarvis: A Voice-based Context-as-a-Service Mobile Tool for a Smart Home Environment
N Huynh, M Bouadjenek, A Hassani, I Razzak, K Lee, C Arora, A Zaslavsky
(2022), pp. 318-321, IEEE MDM 2022 : Proceedings of the Institute of Electrical and Electronics Engineers Mobile Data Management 2022 international conference, Paphos, Cyprus, E1
S Abualhaija, C Arora, A Sleimi, L Briand
(2022), pp. 39-50, RE 2022 : Proceedings of the IEEE 30th International Conference on Requirements Engineering 2022, Melbourne, Vic., E1
TAPHSIR: towards AnaPHoric ambiguity detection and ReSolution in requirements
S Ezzini, S Abualhaija, C Arora, M Sabetzadeh
(2022), pp. 1677-1681, ESEC/FSE 2022 : Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering 2022, Singapore, E1
COREQQA: a COmpliance REQuirements understanding using question answering tool
S Abualhaija, C Arora, L Briand
(2022), pp. 1682-1686, ESEC/FSE 2022 : Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering 2022, Singapore, E1
VR4HcRE: Virtual Reality Platform for Human-centric Requirements Elicitation
Y Wang, X Liu, B Cheng, C Arora, T Hoang
(2022), pp. 788-793, ISMAR-Adjunct 2022 : Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct 2022, Singapore, Singapore, E1
Requirements, Politics, or Individualism: What Drives the Success of COVID-19 Contact-Tracing Apps?
M Bano, D Zowghi, C Arora
(2021), Vol. 38, pp. 7-12, IEEE Software, C1
J Kua, S Loke, C Arora, N Fernando, C Ranaweera
(2021), Vol. 21, Sensors, Switzerland, C1
Ben Cheng, Owen Wang, Di Shao, Chetan Arora, Thuong Hoang, Xiao Liu
(2021), pp. 610-613, CCGrid 2021 : Proceedings of the 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, Melbourne, Victoria, E1
Using Domain-Specific Corpora for Improved Handling of Ambiguity in Requirements
Saad Ezzini, Sallam Abualhaija, Chetan Arora, Mehrdad Sabetzadeh, Lionel Briand
(2021), pp. 1485-1497, ICSE 2021 : Proceedings of the IEEE/ACM 43rd International Conference on Software Engineering, Madrid, Spain, E1
The Rise and Fall of COVID-19 Contact-Tracing Apps: when NFRs Collide with Pandemic
Muneera Bano, Chetan Arora, Didar Zowghi, Alessio Ferrari
(2021), pp. 106-116, RE 2021 : Proceedings of the IEEE 29th International Requirements Engineering Conference, Notre Dame, Ind., E1
What's up with Requirements Engineering for Artificial Intelligence Systems?
Khlood Ahmad, Muneera Bano, Mohamed Abdelrazek, Chetan Arora, John Grundy
(2021), pp. 1-12, RE 2021 : Proceedings of the 2021 IEEE 29th International Requirements Engineering Conference, Notre Dame, Ind., E1
Machine Learning in Requirements Engineering: A Mapping Study
Kareshna Zamani, Didar Zowghi, Chetan Arora
(2021), pp. 116-125, REW 2021 : Proceedings of the 2021 IEEE 29th International Requirements Engineering Conference Workshops, Notre Dame, Ind., E1
Virtual Reality Enabled Human-Centric Requirements Engineering
Owen Wang, Ben Cheng, Thuong Hoang, Chetan Arora, Xiao Liu
(2021), pp. 159-164, ASEW 2021 : Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering Workshops, Melbourne, Vic., E1
Automated demarcation of requirements in textual specifications: a machine learning-based approach
S Abualhaija, C Arora, M Sabetzadeh, L Briand, M Traynor
(2020), Vol. 25, pp. 5454-5497, Empirical Software Engineering, C1
Dynamic adaptation of software-defined networks for IoT systems: a search-based approach
Seung Shin, Shiva Nejati, Mehrdad Sabetzadeh, Lionel Briand, Chetan Arora, Frank Zimmer
(2020), pp. 137-148, SEAMS 2020 : Proceedings of the 2020 IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Seoul, Korea, E1
An active learning approach for improving the accuracy of automated domain model extraction
C Arora, M Sabetzadeh, S Nejati, L Briand
(2019), Vol. 28, ACM Transactions on Software Engineering and Methodology, C1-1
C Arora, M Sabetzadeh, L Briand
(2019), Vol. 24, pp. 2509-2539, Empirical Software Engineering, C1-1
A machine learning-based approach for demarcating requirements in textual specifications
Sallam Abualhaija, Chetan Arora, Mehrdad Sabetzadeh, Lionel Briand, Eduardo Vaz
(2019), pp. 51-62, RE 2019 : Proceedings of the 27th IEEE International Requirements Engineering Conference, Jeju Island, South Korea, E1-1
Automated extraction and clustering of requirements glossary terms
Chetan Arora, Mehrdad Sabetzadeh, Lionel Briand, Frank Zimmer
(2017), Vol. 43, pp. 918-945, IEEE Transactions on Software Engineering, Piscataway, N.J., C1-1
Automated change impact analysis between SysML models of requirements and design
Shiva Nejati, Mehrdad Sabetzadeh, Chetan Arora, Lionel Briand, Felix Mandoux
(2016), pp. 242-253, FSE 2016 : Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, Seattle, Washington, E1-1
Extracting domain models from natural-language requirements
Chetan Arora, Mehrdad Sabetzadeh, Lionel Briand, Frank Zimmer
(2016), pp. 1-11, MODELS '16: Proceedings of the ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems, Saint-malo, France, E1-1
Automated checking of conformance to requirements templates using natural language processing
Chetan Arora, Mehrdad Sabetzadeh, Lionel Briand, Frank Zimmer
(2015), Vol. 41, pp. 944-968, IEEE Transactions on Software Engineering, Piscataway, N.J., C1-1
NARCIA: an automated tool for change impact analysis in natural language requirements
C Arora, Mehrdad Sabetzadeh, Arda Goknil, Lionel Briand, Frank Zimmer
(2015), pp. 962-965, ESEC/FSE 2015 : Proceedings of the 2015 10th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering, Bergamo, Italy, E1-1
Change impact analysis for Natural Language requirements: An NLP approach
Chetan Arora, Mehrdad Sabetzadeh, Arda Goknil, Lionel Briand, Frank Zimmer
(2015), pp. 6-15, RE 2015 : Proceedings of the 2015 IEEE 23rd International Requirements Engineering Conference, Ottawa, Canada, E1-1
Chetan Arora, Mehrdad Sabetzadeh, Lionel Briand, Frank Zimmer
(2014), pp. 1-8, RePa 2014 : Proceedings of the 2014 IEEE 4th International Workshop on Requirements Patterns, Karlskrona, Sweden, E1-1
Improving requirements glossary construction via clustering
C Arora, Mehrdad Sabetzadeh, Lionel Briand, Frank Zimmer
(2014), pp. 1-10, ESEM 2014 : Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, Torino, Italy, E1-1
RUBRIC: a flexible tool for automated checking of conformance to requirement boilerplates
Chetan Arora, Mehrdad Sabetzadeh, Lionel Briand, Frank Zimmer, Raul Gnaga
(2013), pp. 599-602, ESEC/FSE'13: Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering•, St. Petersburg, Russia, E1-1
Chetan Arora, Mehrdad Sabetzadeh, Lionel Briand, Frank Zimmer, Raul Gnaga
(2013), pp. 35-44, ESEIW 2013 Proceedings of the 2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Baltimore, Maryland, E1-1
Funded Projects at Deakin
Other Public Sector Funding
Automated glossary generation for effective and efficient information extraction from text data.
Dr Chetan Arora
DSTO Grant - Research - Defence Science & Technology Organisation
- 2021: $5,000
- 2020: $15,000
Planning and Optimisation of Resources in Defence Satellite Communication Systems - Satellite Dynamic Resource Management (SAT-DREAM).
Prof Vicky Mak, Prof Gleb Beliakov, Dr Chetan Arora
Department of Defence
- 2024: $135,000
- 2023: $146,000
- 2022: $220,101
- 2021: $100,000
Contextually Situated Anomaly Detection.
Dr Chetan Arora
Department of Defence
- 2022: $20,000
Supervisions
Khlood Ahmad
Thesis entitled: Requirements Engineering for Human-Centered Artificial Intelligence Software
Doctor of Philosophy (Information Technology), School of Information Technology