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researcher

Lalita Bhanu Murthy Neti

2 papers hereh-index 12610 citations54 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.SE2

identity via Semantic Scholar / OpenAlex

most citedAn Empirical Study on Predictability of Software Code Smell Using Deep Learning Models

26 citations · 26 across the 2 of their papers we have counts for

collaborators

2 papers

cs.SE2021★ 26 cited

An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models

Himanshu Gupta, Tanmay G. Kulkarni, Lov Kumar +2

Code Smell, similar to a bad smell, is a surface indication of something tainted but in terms of software writing practices. This metric is an indication of a deeper problem lies w…

cs.SE2021

Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell

Himanshu Gupta, Abhiram Anand Gulanikar, Lov Kumar +1

A code smell is a surface indicator of an inherent problem in the system, most often due to deviation from standard coding practices on the developers part during the development p…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.