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Jaypee Institute of Information Technology, Noida
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  • Prof. Chetna Gupta
Professor
chetna.gupta@jiit.ac.in

Education

  • Ph.D. in Computer Science and Engineering.
  • M.Tech in Computer Science and Engineering.
  • Bachelor of Engineering in Computer Science and Engineering.

Biography

Dr. Gupta has taught number of subjects in the domain of Software Engineering, Web Application Engineering, Database Applications and Computer Programming. Dr. Gupta is currently serving as Associate Editor, in the International Journal of Computer Aided Engineering and Technology (Inderscience) and Journal of Cases on Information Technology (IGI Global-USA). She has also served as Guest Editor of many special issues published/ongoing with leading International Journals.  

Work Experience

  • December 2009 – to date, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India.
  • January 2005 – December 2009, Jaypee University of Information Technology, Solan, Himachal Pradesh, India.
  • October 2004 – December 2005, Jaypee Institute of Engineering and Technology, Guna, Madhya Pradesh, India

Interest Area's

Software Engineering, Distributed Software Engineering, Search Based Software Engineering, Project Management, Innovation Management and Cloud Computing.

Publications

SCI/SCIE indexed:

  • Gupta, C.(2022). The Impact and Measurement of Today’s Learning Technologies in Teaching Software Engineering Course Using Design-Based Learning and Project-Based Learning. IEEE Transactions on Education.  doi: 10.1109/TE.2022.3169532. [Impact factor=2.116].
  • Gupta, C. Gupta, V. (2022). Are These Requirements Risky: A Proposal of an IoT-Based Requirements Risk Estimation Framework.  Mathematics 2022, 10,1210. https://doi.org/10.3390/math10081210 [Impact factor=2.258].
  • Gupta, V., Rubalcaba, L., & Gupta, C. (2022). Global Requirement Engineering through secondary market research: Lessons from real consulting project. IT Professional, IEEE, DOI: 10.1109/MITP.2022.3151005. [Impact factor=2.626].
  • Gupta, V., Rubalcaba, L., Gupta, C., & Pereira, L. F. (2022). Library social networking sites for fostering startup business globalization through strategic partnerships. The Journal of Academic Librarianship, pp.102504. [Impact factor=1.533].
  • Gupta, C., Gupta, V. (2021). A Decentralized Framework for Managing Task Allocation in Distributed Software Engineering. Applied Science, 11(22):10633.[Impact factor= 2.679]
  • Gupta, C., Gupta, V., & Stachowiak, A. (2021). Adoption of ICT-Based Teaching in Engineering: An Extended Technology Acceptance Model Perspective. IEEE Access, 9, 58652-58666. [Impact factor= 3.37]
  • Gupta, V., Rubalcaba, L., Gupta, C. (2022). Multimedia Prototyping for Early-Stage Startups Endurance: Stage for New Normal?," IEEE MultiMedia, vol. 28, no. 4, pp. 107-116, 1 Oct.-Dec. 2021, doi: 10.1109/MMUL.2021.3122539. [Impact factor= 5.633]
  • Gupta, V., Rubalcaba, L., Gupta, C. (2021). Book review of Digital Lifeline? ICTs for Refugees and Displaced Persons, The Information Society: An International Journal, Taylor & Francis. [Impact factor =4.571]
  • Gupta, V., Gupta, C., Rubalcaba, L.(2021). Book review Coping with Illness Digitally, The Information Society: An International Journal, Taylor & Francis. [Impact factor =4.571]
  • Gupta, A., & Gupta, C. (2019). A novel collaborative requirement prioritization approach to handle priority vagueness and inter-relationships. Journal of King Saud University-Computer and Information Sciences. [Impact factor= 13.47]
  • Gupta, A., & Gupta, C. (2018). CDBR: A semi-automated collaborative execute-before-after dependency-based requirement prioritization approach. Journal of King Saud University-Computer and Information Sciences.[Impact factor= 13.47]
  • Bhatt, A. J., Gupta, C., & Mittal, S. (2018). iABC: Towards a hybrid framework for analyzing and classifying behaviour of iOS applications using static and dynamic analysis. Journal of Information Security and Applications, 41, 144-158.[Impact factor =3.88]
  • Bhatt, A. J., Gupta, C., & Mittal, S. (2018). iABC-AL: Active learning-based privacy leaks threat detection for iOS applications. Journal of King Saud University-Computer and Information Sciences.[Impact factor= 13.47]
  • Bhatt, A. J., & Gupta, C. (2017). Comparison of static and dynamic analyzer tools for iOS applications. Wireless Personal Communications, 96(3), 4013-4046.[Impact factor=1.67]

ESCI/SCOPUS/others indexed:

  • Singh, A. P., Gupta, C., Singh, R., & Singh, N. (2021). A Comparative Analysis of Evolutionary Algorithms for Data Classification Using KEEL Tool. International Journal of Swarm Intelligence Research (IJSIR), 12(1), 17-28.
  • Gupta, A., & Gupta, C. (2021). A Collaborative Effort-Benefit-Value Analysis Model to Support Requirements Reuse for Software Requirements Prioritization. International Journal of Software Innovation (IJSI), 9(1), 37-51.
  • Goyal, M., & Gupta, C. (2020). Intuitionistic fuzzy decision making towards efficient team selection in global software development. Journal of Information Technology Research (JITR), 13(2), 75-93.
  • Chandani, P., & Gupta, C. (2019). An Early Multi-Criteria Risk Assessment Model: Requirement Engineering Perspective. Journal of Cases on Information Technology (JCIT), 21(2), 51-64.
  • Bhatt, A. J., Gupta, C., & Mittal, S. (2019). iShield: A Framework for Preserving Privacy of iOS App User. Journal of Cyber Security and Mobility, 493-536.
  • Gupta, A., & Gupta, C. (2018). A collaborative approach for improvisation and refinement of requirement prioritization process. Journal of Information Technology Research (JITR), 11(2), 128-149.
  • Chandani, P., & Gupta, C. (2018). An exhaustive requirement analysis approach to estimate risk using requirement defect and execution flow dependency for software development. Journal of Information Technology Research (JITR), 11(2), 68-87.
  • Gupta, A., & Gupta, C. (2018). A Collaborative Situational Method Engineering Approach for Requirement Gathering: A Re-Defined View. International Journal of Information Retrieval Research (IJIRR), 8(1), 1-19.
  • Chandani, P., & Gupta, C. (2018). Towards Risk Based Effort Estimation: A Framework to Identify, Analyze, and Classify Risk for Early Identification at Requirement Engineering Phase. International Journal of Information System Modeling and Design (IJISMD), 9(4), 54-71.
  • Wadhwa, A., Jain, S., & Gupta, C. (2017). An Effective Precision Enhancement Approach to Estimate Software Development Cost: Nature Inspired Way. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(3), 85-91.
  • Gupta, C., Srivastav, M., & Gupta, V. (2015). Software change impact analysis: an approach to differentiate type of change to minimise regression test selection. International Journal of Computer Applications in Technology, 51(4), 366-375.
  • Gupta, C., & Maggo, S. (2014). An efficient prediction model for software reusability for Java-based object-oriented systems. International Journal of Computer Aided Engineering and Technology, 6(2), 182-199.
  • Gupta, V., Chauhan, D. S., Gupta, C., & Dutta, K. (2014). Current prioritisation and reprioritisation practices: a case study approach. International Journal of Computer Aided Engineering and Technology, 6(2), 159-170.
  • Maggo, S., & Gupta, C. (2014). MLP based Reusability Assessment Automation Model for Java based Software Systems. International Journal of Modern Education & Computer Science, 6(8).
  • Maggo, S., & Gupta, C. (2014). A machine learning based efficient software reusability prediction model for java based object oriented software. International Journal of Information Technology and Computer Science (IJITCS), 6(1), 1-12.
  • Gupta, V., Chauhan, D.S.,  Dutta, K. &  Gupta, C. (2013). Requirement reprioritization: a multilayered dynamic approach. International Journal of Software Engineering and Its Applications, 7(5), 55-64.
  • Gupta, C., Singh, Y., & Chauhan, D. S. (2010). A dynamic approach to estimate change impact using type of change propagation. Journal of Information Processing Systems, 6(4), 597-608.
  • Gupta, C.,Singh, Y., & Chauhan, D. (2010). Dependency based process model for impact analysis: a requirement engineering perspective. International journal of computer applications, 6(6), 28-30.
  • Gupta, C., Singh, Y., Chauhan, D. S., & Srivastav, M. (2010). DU-Regs: online dynamic approach to visualize impact analysis for regression testing. International Journal of Computer Applications, 1(19), 8-11.
  • Gupta, C.,Singh, Y., & Chauhan, D. S. (2009). An efficient dynamic impact analysis using definition and usage information. International Journal of Digital Content Technology and its Applications, 3(4), 112-115.
  • Bhatt, A. J., Gupta, C. (2015). Run Time Analysis And Manipulation Of IOS Applications For Protecting Privacy Using Snoop-It. International Journal of Advance Foundation and Research in Computer (IJAFRC), 2, 647-661.
  • Gupta, C., & Gupta, V. (2015). Software change impact analysis: An approach to compute and prioritize impacted functions in software systems. International Journal of Systems and Service-Oriented Engineering (IJSSOE), 5(2), 44-55.
  • Chandani, P., & Gupta, C. (2014). A survey on effective defect prevention-3T approach. International Journal of Information Engineering and Electronic Business, 1, 32-41.
  • Chauhan, A., Arora, A. & Gupta, C. (2014). An Automatized Robustness Testing Tool for Web Services. International Journal of Computer Engineering and Applications, 6(3), 153-161.
  • Rathi, M., & Gupta, C. (2014). An approach to predict breast cancer and drug suggestion using machine learning techniques. International Journal on Information Technology, 4(1), 23.
  • Badera, P. & Gupta, C. (2013).  A Tool Support for Mining Patterns based on Data Structures. International Journal of Software and Web Science (IJSWS), 6(1), 6-13.
  • Gupta, C., & Rathi, M. (2013). A meta-level data mining approach to predict software Reusability. International Journal of Information Engineering and Electronic Business, 5(6), 33.

BOOK CHAPTERS (SCOPUS indexed):

  • Gupta, C.,& Rathi, M. (2022). Team Member Selection in Global Software Development: A Blockchain Oriented Approach. In Advanced Computational Techniques for Sustainable Computing. Taylor & Francis. (Accepted).
  • Gupta, C.,& Chandani, P. (2021). SERIES: A Software Risk Estimator Tool Support for Requirement Risk Assessment. In Advancements in Model-Driven Architecture in Software Engineering (pp. 238-252). IGI Global.
  • Batra, C., Pathak, G., Gupta, S., Singh, S., Gupta, C., & Gupta, V. (2020). Foodie: An Automated Food Ordering System. In Strategic System Assurance and Business Analytics (pp. 557-562). Springer, Singapore.
  • Chandani, P., & Gupta, C. (2020). A Systematic Literature Review on Risk Assessment and Mitigation Approaches in Requirement Engineering. Crowdsourcing and Probabilistic Decision-Making in Software Engineering: Emerging Research and Opportunities, 51-80.
  • Gupta, C., Singhal, S., & Kumari, A. (2020). I-Way: A Cloud-Based Recommendation System for Software Requirement Reusability. In Crowdsourcing and Probabilistic Decision-Making in Software Engineering: Emerging Research and Opportunities (pp. 23-34). IGI Global.
  • Gupta, V., Mehta, A., & Gupta, C. (2019). Improvisation of Reusability Oriented Software Testing. In System Performance and Management Analytics (pp. 139-145). Springer, Singapore.
  • Saini, A., Verma, A., Arora, A., & Gupta, C. (2019). Linguistic rule-based ontology-driven chatbot system. In Advances in Computer Communication and Computational Sciences (pp. 47-57). Springer, Singapore.
  • Gupta, V., Vij, Y., & Gupta, C. (2019). Toward Analysis of Requirement Prioritization Based Regression Testing Techniques. In System Performance and Management Analytics (pp. 97-101). Springer, Singapore.
  • Gupta, C., & Gupta, V. (2018). Semi-Automated Tool Support for Identification and Prioritization of Impacted Functions in Software Systems. In Multidisciplinary Approaches to Service-Oriented Engineering (pp. 168-181). IGI Global.
  • CONFERENCES (SCOPUS indexed):
  • Gupta, C.,& Gupta, V. (2020, December). Requirements Risk Estimation Using TOPSIS Method. In 2020 27th Asia-Pacific Software Engineering Conference (APSEC) (pp. 505-506). IEEE.
  • Chandani, P., & Gupta, C. (2018, August). Requirement Risk Prioritization Using Analytic Hierarchy Process: A Gateway to Identify Risky Requirements. In 2018 Eleventh International Conference on Contemporary Computing (IC3) (pp. 1-6). IEEE.
  • Bhatt, A. J., Gupta, C., & Mittal, S. (2018, August). Network Forensics Analysis of iOS Social Networking and Messaging Apps. In 2018 Eleventh International Conference on Contemporary Computing (IC3) (pp. 1-6). IEEE.
  • Gupta, A., & Gupta, C. (2018, August). Towards dependency based collaborative method for requirement prioritization. In 2018 Eleventh International Conference on Contemporary Computing (IC3) (pp. 1-3). IEEE.
  • Gupta, V., Khan, M. T., & Gupta, C. (2017, December). Non-functional requirement prioritization approach based on historical similar project. In 2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions)(ICTUS) (pp. 396-399). IEEE.
  • Gupta, V., Gupta, S., & Gupta, C. (2017, December). Towards systematic literature survey of feedback oriented mass market software development. In 2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions)(ICTUS) (pp. 410-412). IEEE.
  • Gupta, V., Dalal, S., Gupta, C., & Ram, C. B. A. S. (2017, December). Towards systematic literature survey of requirement prioritization in global software engineering. In 2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions)(ICTUS) (pp. 444-446). IEEE.
  • Gupta, V., Sethi, S., Chopra, K., & Gupta, C. (2017, December). Decision aspect prioritization technique for incremental software. In 2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions)(ICTUS) (pp. 447-450). IEEE.
  • Gupta, V., Bansal, M., Gupta, C., & Singh, S. (2017, December). Analysis of incremental software projects status in software industries. In 2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions)(ICTUS) (pp. 432-435). IEEE.
  • Gupta, C.,Bhatt, A. J., & Mittal, S. (2017, August). Disassembling and patching iOS applications at assembly level. In 2017 Tenth International Conference on Contemporary Computing (IC3) (pp. 1-6). IEEE.
  • Srivastav, M., Singh, Y., Gupta, C., & Chauhan, D. S. (2010, May). Complexity estimation approach for debugging in parallel. In 2010 Second International Conference on Computer Research and Development (pp. 223-227). IEEE.
  • Prakash, N., Srivastav, M., Gupta, C., & Arora, V. (2007). An Intention Driven Method Engineering Approach. In First International Conference on Research Challenges in Information Science (RCIS) (pp. 281-288). IEEE.
  • Gupta, V., Tyagi, V., & Gupta, C. (2017). An Empirical Study of Change Request Management Practices of Software Industries, In Joint International Conference on Interdisciplinary Research and 8th International Conference on Quality, Reliability, Infocom Technology and Business Operations, 08-10, Feb 2017, Springer.

Others:

  • Gupta, C., Jain, E., Agarwal R., & Mahendru, S. (2009). RegS: Automated Regression Test Selection Tool. International Conference on Arts, Science, Management and Engineering, Goa, India, 23-25 April 2009.
  • Gupta, C., & Srivastav, M. (2009). Automated Computer Aided Framework for Learning.  International Conference on Arts, Science, Management and Engineering, Goa, India, 23-25 April 2009.
  • Gupta, C.,Srivastav, M., & Gupta, V. (2009). Adult Education Software System Using Computer Aided Instructions. International Conference on e-Commerce, e-Administration, e-Society, and e-Education (e-CASE), Singapore, 08-10 January 2009.

Book(s)

  • Gupta, V. & Gupta, C. (2022). Emerging Technologies for Innovation Management in the Software Industry. IGI Global, USA, DOI: 10.4018/978-1-7998- 9059-1 (ISBN: 9781799890591) (Scopus Indexed).
  • Gupta, V. & Gupta, C. (2021). Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts. Taylor & Francis (CRC Press). ISBN: 9780367358525.

Thesis And Project Supervision

  • No. of Ph. D’s Supervision: 05 (03 completed & awarded, 02 ongoing)
  • No. of M. Tech completed & awarded: 09
  • No. of Undergraduate Project supervised: more than 100 (completed)