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Lalita Bhanu Murthy Neti

3 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 author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.SE2
  • cs.CL1

identity via Semantic Scholar / OpenAlex

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

26 citations · 27 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2024★ 1 cited

Unfair TOS: An Automated Approach using Customized BERT

Bathini Sai Akash, Akshara Kupireddy, Lalita Bhanu Murthy

Terms of Service (ToS) form an integral part of any agreement as it defines the legal relationship between a service provider and an end-user. Not only do they establish and deline…

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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