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Dr Chetan Arora

STAFF PROFILE

Position

Senior Lecturer, Software Engineering

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Melbourne Burwood Campus

Contact

chetan.arora@deakin.edu.au
+61 3 924 45669

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

Filter by

2022

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

journal article
2021

Requirements, Politics, or Individualism: What Drives the Success of COVID-19 Contact-Tracing Apps?

Muneera Bano, Didar Zowghi, Chetan Arora

(2021), Vol. 38, pp. 7-12, IEEE Software, Piscataway, N.J., C1

journal article

Internet of Things in Space: A Review of Opportunities and Challenges from Satellite-Aided Computing to Digitally-Enhanced Space Living

Jonathan Kua, Seng Loke, Chetan Arora, Niroshinie Fernando, Chathu Ranaweera

(2021), Vol. 21, pp. 1-33, Sensors, Basel, Switzerland, C1

journal article

Edge4Emotion: An Edge Computing based Multi-source Emotion Recognition Platform for Human-Centric Software Engineering

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

conference

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

conference

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

conference

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

conference

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

conference

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

conference
2020

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, New York, N.Y., C1

journal article

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

conference
2019

An active learning approach for improving the accuracy of automated domain model extraction

Chetan Arora, Mehrdad Sabetzadeh, Shiva Nejati, Lionel Briand

(2019), Vol. 28, pp. 1-34, ACM transactions on software engineering and methodology, Washington, D.C., C1-1

journal article

An empirical study on the potential usefulness of domain models for completeness checking of requirements

Chetan Arora, Mehrdad Sabetzadeh, Lionel Briand

(2019), Vol. 24, pp. 2509-2539, Empirical software engineering, Berlin, Germany, C1-1

journal article

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

conference
2017

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

journal article
2016

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

conference

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

conference
2015

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

journal article

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

conference

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

conference
2014

Requirement boilerplates: Transition from manually-enforced to automatically-verifiable natural language patterns

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

conference

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

conference
2013

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

conference

Automatic checking of conformance to requirement boilerplates via text chunking: An industrial case study

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

conference

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).

Dr Chetan Arora, A/Prof Vicky Mak, Prof Gleb Beliakov

Department of Defence

  • 2022: $153,446
  • 2021: $100,000

Contextually Situated Anomaly Detection.

Dr Chetan Arora

Department of Defence

  • 2022: $20,000

Supervisions

No completed student supervisions to report