Arie van Deursen 🇪🇺🇳🇱Oct 16, 2023

Super happy and very proud: JetBrains and TU Delft are launching an exciting five year collaboration: the AI for Software Engineering Lab (AI4SE).

There are five research tracks in this program:
- Validating (AI) generated cocde
- Optimizing code language models
- IDE-AI alignment
- Run time information in the IDE
- Programming education.

There are five PhD positions at TU Delft in this lab: Apply now!

https://lp.jetbrains.com/research/ai-for-se/

#jetbrains #tudelft #ai4se #icai @seresearchers

AI for Software Engineering Lab

The emergence of advanced AI-driven tools has led to a wide range of opportunities and transformations in software engineering practices and education.

JetBrains: Developer Tools for Professionals and Teams
Arie van Deursen 🇪🇺🇳🇱Sep 13, 2023

Today's #ASE2023 keynote on "resolving code review comments with ML".

Presented by Danny Tarlow (Google Deepmind).

Blog: https://blog.research.google/2023/05/resolving-code-review-comments-with-ml.html

Based on the DIDACT "Large sequence models for software development activities". https://blog.research.google/2023/05/large-sequence-models-for-software.html

#ai4se #codereview #ml4se #DannyTarlow #DIDACT

Resolving code review comments with ML

Eric BoddenJun 30, 2023
Currently working on a survey in the area of #AI4SE, I am seriously considering a "hall of shame" of the worst papers we found. It's truly unbelievable what kind of rubbish is published at some venues. The recipe seems: Take some random input representation, apply some random embedding, use some randomly chosen classifier, if you feel fancy use an attention mechanism (but don't say which one, let alone why), pick some subset of some badly biased data set, report success! Nothing can be learned from such work! Really, nothing. It's so disappointing.