Shukla, A., Gao, X., & Ayele, Y. Z. (2023). STPA-Based Safety Approach on the Emergency Ventilation System in Nuclear Power Plant.
Chatterjee, S., Chaudhuri, B., Bhar, C., & Shukla, A. (2020). Optimal release time determination using FMOCCP involving randomized cost budget for FSDE-based software reliability growth model. International Journal of Reliability, Quality and Safety Engineering, 27(01), 2050004.
Chatterjee, S., & Shukla, A. (2019). A unified approach of testing coverage‐based software reliability growth modelling with fault detection probability, imperfect debugging, and change point. Journal of Software: Evolution and Process, 31(3), e2150.
Chatterjee, S., Shukla, A., & Pham, H. (2019). Modeling and analysis of software fault detectability and removability with time variant fault exposure ratio, fault removal efficiency, and change point. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 233(2), 246-256.
Chatterjee, S., Singh, J. B., Roy, A., & Shukla, A. (2020). NHPP-based software reliability growth modeling and optimal release policy for N-Version programming system with increasing fault detection rate under imperfect debugging. Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 90(1), 11-26.
Shukla, A., Chatterjee, S., and Chaudhuri, B. (2017). Performance Analysis of Change Point-based Software Reliability Growth Model Incorporating Both Fault Reduction Factor and Test Coverage, Proceedings of the 23rd ISSAT International Conference on Reliability and Quality in Design August 3-5, 2017 - Chicago, Illinois, U.S.A.
Chatterjee, S., Chaudhuri, B., Bhar, C., & Shukla, A. (2017, December). Estimation of software reliability and development cost using interval type-2 fuzzy AHP. In 2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions)(ICTUS) (pp. 682-688). IEEE.
Chatterjee, S., & Shukla, A. (2017). An ideal software release policy for an improved software reliability growth model incorporating imperfect debugging with fault removal efficiency and change point. Asia-Pacific Journal of Operational Research, 34(03), 1740017.
Chatterjee, S., & Shukla, A. (2016). Modeling and analysis of software fault detection and correction process through Weibull-type fault reduction factor, change point and imperfect debugging. Arabian Journal for Science and Engineering, 41(12), 5009-5025.
Chatterjee, S., & Shukla, A. (2016). Change point–based software reliability model under imperfect debugging with revised concept of fault dependency. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 230(6), 579-597.
Chatterjee, S., Chaudhuri, B., Bhar, C., & Shukla, A. (2016, September). Modeling and analysis of reliability and optimal release policy of software with testing domain coverage efficiency. In 2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO) (pp. 90-95). IEEE. (Best paper award)
Chatterjee, S., & Shukla, A. (2016). Effect of Test Coverage and Change Point on Software Reliability Growth Based on Time Variable Fault Detection Probability. J. Softw., 11(1), 110-117.
Chatterjee, S., & Shukla, A. (2015, September). Software reliability modeling with different type of faults incorporating both imperfect debugging and change point. In 2015 4th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO)(Trends and Future Directions) (pp. 1-5). IEEE.
