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Ompal Singh

Researcher at University of Delhi

Publications -  108
Citations -  941

Ompal Singh is an academic researcher from University of Delhi. The author has contributed to research in topics: Software quality & Software. The author has an hindex of 13, co-authored 108 publications receiving 726 citations. Previous affiliations of Ompal Singh include Bose Corporation & Guru Jambheshwar University of Science and Technology.

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Flexible software reliability growth model with testing effort dependent learning process

TL;DR: A Non-Homogeneous Poisson Process (NHPP) based SRGM is proposed in this paper which is flexible enough to describe various software failure/reliability curves and comparisons with established models in terms of goodness of fit, the Akaike Information Criterion, Mean of Squared Errors (MSE), etc.
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Multi up-gradation software reliability growth model with imperfect debugging

TL;DR: A multi up-gradation, multi release software reliability model that uniquely identifies the faults left in the software when it is in operational phase during the testing of the new code i.e. developed while adding new features to the existing software.
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Consumer behaviour-based innovation diffusion modelling using stochastic differential equation incorporating change in adoption rate

TL;DR: In this paper, a diffusion model based on Ito's type of stochastic differential equation with repeat purchasing and balking is proposed for predicting adoption curve of products from different segments of market.
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Profit maximization by virtue of price & warranty length optimization

TL;DR: In this article, the authors presented a methodical approach to obtain optimal price and warranty length for a product using a two dimensional innovation diffusion model to demonstrate product sales cycle, the model examines significance of these decision variables and estimates the overall maximum profit for the manufacturer.
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Determining adoption pattern with pricing using two-dimensional innovation diffusion model

TL;DR: In this article, the authors derived a two-dimensional technology diffusion innovation model which combines the adoption time of technological diffusion and price of the technology product, based on two main assumptions: the rate of adoption growth decreases in price and that there is diminishing returns to time because initial market size is fixed.