Tushar Sharma
6 papers in the PaperMetrix corpus
Papers by this author
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Designite
2016
Poor design quality and huge technical debt are common issues perceived in real-life software projects. Design smells are indicators of poor design quality and the volume of design smells found could be treated as the …
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An Effective Phishing Site Prediction using Machine Learning
2022 · 2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)
As the human race is getting advanced with the technology in today’s era, the threat to get damage has also increased. In cyberspace in which we are using the internet and services, there are always …
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Quantifying Outlierness of Funds from their Categories using Supervised Similarity
2023 · arXiv (Cornell University)
Mutual fund categorization has become a standard tool for the investment management industry and is extensively used by allocators for portfolio construction and manager selection, as well as by fund managers for peer analysis and …
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On Inter-dataset Code Duplication and Data Leakage in Large Language Models
2024 · arXiv (Cornell University)
Motivation. Large language models (LLMs) have exhibited remarkable proficiency in diverse software engineering (SE) tasks. Handling such tasks typically involves acquiring foundational coding knowledge on large, general-purpose datasets during a pre-training phase, and subsequently refining …
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LLMs for Code: The Potential, Prospects, and Problems
2024
With the introduction of Large Language Models (LLMS) and their integration with software development tasks, the software development landscape has changed drastically in the last couple of years. In this session, we delve into the …
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DPy: Code Smells Detection Tool for Python
2025
Code smells violate best practices in software development that make code difficult to understand and maintain. Code smell detection tools help practitioners detect maintainability issues and enable researchers to conduct repository mining and empirical research …