18 citations · 18 across the 3 of their papers we have counts for
3 papers
Maintainability Challenges in ML: A Systematic Literature Review
Karthik Shivashankar, Antonio Martini
Background: As Machine Learning (ML) advances rapidly in many fields, it is being adopted by academics and businesses alike. However, ML has a number of different challenges in ter…
Better Python Programming for all: With the focus on Maintainability
Karthik Shivashankar, Antonio Martini
This study aims to enhance the maintainability of code generated by Large Language Models (LLMs), with a focus on the Python programming language. As the use of LLMs for coding ass…
Identifying Technical Debt and Its Types Across Diverse Software Projects Issues
Karthik Shivashankar, Mili Orucevic, Maren Maritsdatter Kruke +1
Technical Debt (TD) identification in software projects issues is crucial for maintaining code quality, reducing long-term maintenance costs, and improving overall project health.…