+91 8197978383, 8197978484 +91 8197978383 admissions.b@isbm.ac.in International School of Business & Media - Bangalore

Core Faculty

Prof. Vibha Verma

Ph.D. Software Reliability (Thesis Submitted), M.Phil.

Area of Expertise- Quantitative Techniques, Research Methodology, Operations Research & Supply Chain Management

Official e-mail ID vibha.v@isbmb.ac.in

A brief profile

Ms. Vibha Verma has submitted her thesis on Quantitative Assessment of Software Reliability in Department of Operational Research, University of Delhi and is waiting for her viva-voce examination. She has completed her M.Phil. in Marketing Management from Department of Operational Research, University of Delhi. The topic of her M.Phil. Dissertation is “A study on Warranty Models in Marketing”. She has published 8 research papers in SCI/SCOPUS/ABDC/ reputed peer reviewed journals. She has attended 6 International Conferences and got some of the papers published in SCOPUS indexed conference proceedings. She has also published four edited book chapters. Currently she is working on her three research papers.

Ph.D. Software Reliability (Thesis Submitted), Department of Operational Research, University of Delhi

M.Phil. (Marketing Management), Department of Operational Research, University of Delhi

M.Sc. (Operational Research) Department of Operational Research, University of Delhi

B.Sc. (Honors) Mathematics, Miranda House, University of Delhi

Research Publication & Books:

Verma, V., Anand, S., Kapur, P.K. & Aggarwal, A.G. (2022). Unified Framework to Assess Software Reliability and Determine Optimal Release Time in Presence of Fault Reduction Factor, Error Generation and Fault Removal Efficiency. International Journal of Systems Assurance Engineering and Management. https://doi.org/10.1007/s13198-022-01653-x

Verma, V., Tandon, A., & Aggarwal, A. G. (2021). The Moderating Effect of Management Review in Enhancing Software Reliability: A Partial Least Square Approach. Information Systems Frontiers. https://doi.org/10.1007/s10796-021-10209-6.

Verma, V., Anand, S., & Aggarwal, A. G. (2021). Intuitionistic fuzzy AHP based reliability allocation model for multi-software system. International Journal of Services Operations and Informatics, 11(2-3), 240-259. https://doi.org/10.1504/IJSOI.2021.117263.

Verma, V., Tandon, A., & Aggarwal, A. G. (2021). Software reliability allocation incorporating pythagorean fuzzy theory and AHP. International Journal of Industrial and Systems Engineering, 38(1), 19-34. https://doi.org/10.1504/IJISE.2021.115128.

Verma, V., Anand, S., & Aggarwal, A. G. (2019). Software warranty cost optimization under imperfect debugging. International Journal of Quality & Reliability Management, 37(9/10), 1233-1257. https://doi.org/10.1108/IJQRM-03-2019-0088.

Aggarwal, A.G., Gandhi, N., Verma, V. & Tandon, A. (2019). Multi-release software reliability growth assessment: an approach incorporating fault reduction factor and imperfect debugging, International Journal of Mathematics in Operational Research, 15(4), 446–463. https://doi.org/10.1504/IJMOR.2019.103006.

Arora, R., Tandon, A., Aggarwal, A.G. and Verma, V. (2019). Testing Resource-based Optimal Release Policy for Software System Incorporating Fault Reduction Factor and Change point, International Journal of Recent Technology and Engineering (IJRTE), 8(3), 1909-1920. https://do.org/10.35940/ijrte.C5277.118419

8. Anand, S., Verma, V., and Aggarwal, A.G. (2018). 2-Dimensional Multi-Release Software Reliability Modelling considering Fault Reduction Factor under Imperfect Debugging. Ingenieria Solidaria, 14(25), 1-12. https://doi.org/10.16925/.v14i0.2229

Verma, V., Anand, S., Aggarwal, A.G. (2021). User Growth-Based Reliability Assessment of OSS During the Operational Phase Considering FRF and Imperfect Debugging. In: Kapur, P.K., Singh, G., Panwar, S. (eds) Advances in Interdisciplinary Research in Engineering and Business Management. Asset Analytics (pp. 293-304). Springer, Singapore. https://doi.org/10.1007/978-981-16-0037-1_23.

Verma, V., & Anand, S. (2020). Two-Dimensional Release Policy for Software Systems Incorporating FRF, Opportunity Cost and Environment Factor. In ICDSMLA 2019: Proceedings of the 1st International Conference on Data Science, Machine Learning and Applications (pp. 879-885). Springer Singapore. https://doi.org/10.1007/978-981-15-1420-3_95.

Verma, V., Anand, S. & Aggarwal, A.G. (2020). Reliability Assessment of Multi-release Software System Under Imperfect Fault Removal Phenomenon. In: Kapur P., Singh G., Klochkov Y., Kumar U. (eds) Decision Analytics Applications in Industry. Asset Analytics (Performance and Safety Management) (pp. 367-380). Springer, Singapore. https://doi.org/10.1007/978-981-15-3643-4_29.

Aggarwal, A. G., Verma, V. & Anand, S. (2017). Architecture-based Optimal Software Reliability Allocation under uncertain preferences. Proceedings of the First International Conference on Information Technology and Knowledge Management (ICITKM). Annals of Computer Science and Information Systems, 14, 3-12. https://doi.org/10.15439/2018KM43

Verma, V. Anand, S., Aggarwal, A.G. (2022). Neutrosophic AHP Approach for Budget Constrained Reliability Allocation Among Modules of Software System. In: Aggarwal A.G., Tandon A., Pham H. (eds) Optimization Models in Software Reliability (pp. 193-213). Springer Series in Reliability Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-78919-0_9

Verma, V. Aggarwal A.G., Pham H. (2022) Understanding Interactions Among Software Development Attributes and Release Planning Problem Through ISM and MAUT. In: Aggarwal A.G., Tandon A., Pham H. (eds) Optimization Models in Software Reliability (pp. 111-133). Springer Series in Reliability Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-78919-0_6

Verma, V. Neha, N., & Aggarwal, A. G. (2020). Software release planning using grey wolf optimizer. In Soft Computing Methods for System Dependability (pp. 1-44). IGI Global. https://doi.org/10.4018/978-1-7998-1718-5.ch001

Verma, V. Neha, N., & Aggarwal, A. G. (2020). Applications of Machine Learning for Software Management. In Handbook of Research on Emerging Trends and Applications of Machine Learning (pp. 130-156). IGI Global. https://doi.org/10.4018/978-1-5225-9643-1.ch007

Trimester II-
  • Research Methodology
  • Supply Chain Management