S
Santonu Sarkar
Researcher at Birla Institute of Technology and Science
Publications - 134
Citations - 2237
Santonu Sarkar is an academic researcher from Birla Institute of Technology and Science. The author has contributed to research in topics: Software as a service & Software system. The author has an hindex of 22, co-authored 125 publications receiving 2048 citations. Previous affiliations of Santonu Sarkar include Jadavpur University & Accenture.
Papers
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Proceedings ArticleDOI
Mining business topics in source code using latent dirichlet allocation
TL;DR: Preliminary results indicate that LDA is able to identify some of the domain topics and is a satisfactory starting point for further manual refinement of topics, and a human assisted approach based on LDA for extracting domain topics from source code is proposed.
Journal ArticleDOI
Parametric analysis and optimization of wire electrical discharge machining of γ-titanium aluminide alloy
TL;DR: In this paper, an extensive research study has been carried out with an aim to select the optimum cutting condition with an appropriate wire offset setting in order to get the desired surface finish and dimensional accuracy.
Journal ArticleDOI
Modeling and optimization of wire electrical discharge machining of γ-TiAl in trim cutting operation
TL;DR: In this paper, a second-order mathematical model in terms of machining parameters was developed for surface roughness, dimensional shift and cutting speed using response surface methodology (RSM) for wire electrical discharge machining of γ-titanium aluminide.
Journal ArticleDOI
Parametric optimisation of wire electrical discharge machining of γ titanium aluminide alloy through an artificial neural network model
TL;DR: In this paper, a feed-forward back-propagation neural network is developed to model the machining process, which is capable of predicting the response parameters as a function of six different control parameters, i.e. pulse on time, pulse off time, peak current, wire tension, dielectric flow rate and servo reference voltage.
Journal ArticleDOI
API-Based and Information-Theoretic Metrics for Measuring the Quality of Software Modularization
TL;DR: A new set of metrics that measure the quality of modularization of a non-object-oriented software system are presented and proposed, based on information-theoretic principles.