2 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
A Critical Study of What Code-LLMs (Do Not) Learn
Abhinav Anand, Shweta Verma, Krishna Narasimhan +1
Large Language Models trained on code corpora (code-LLMs) have demonstrated impressive performance in various coding assistance tasks. However, despite their increased size and tra…
Towards Trustworthy AI Software Development Assistance
Daniel Maninger, Krishna Narasimhan, Mira Mezini
It is expected that in the near future, AI software development assistants will play an important role in the software industry. However, current software development assistants te…
Towards Code Generation from BDD Test Case Specifications: A Vision
Leon Chemnitz, David Reichenbach, Hani Aldebes +3
Automatic code generation has recently attracted large attention and is becoming more significant to the software development process. Solutions based on Machine Learning and Artif…
Fex: Assisted Identification of Domain Features from C Programs
Patrick Müller, Krishna Narasimhan, Mira Mezini
Modern software typically performs more than one functionality. These functionalities or features are not always organized in a way for modules representing these features to be us…