Excited to welcome AI4SE interns from TU Delft as full-time JetBrains employees! 🚀 Their MSc theses tackled everything from AI code assistants to test generation, bridging research with real-world engineering. #AI4SE #JetBrains 👉 jb.gg/hdk87w

#FSE2025

Four PhD positions opening at SERL Sweden related to AI4SE and SE4AI:

- Software Maintenance: www.bth.se/eng/about-bt...

SW Development: www.bth.se/eng/about-bt...

Software Design and Architecture: www.bth.se/eng/about-bt...

Verification and Validation: www.bth.se/eng/about-bt...

Where are they now?
Dr Xiaoyu Sun is now a Lecturer @ANU, leading impactful research in software security & AI4SE.

She’s:
🔹 published 25+ papers
🔹 built tools like SEEKER (9,905 sensor leaks detected!)
🔹 co-leading a $977K project w/ CSIRO

And still collaborating with us!

#SEresearch #PhDAlumni

(e.g., advisor, problem solver). We find that assigning multiple roles to AI correlates positively with Perceived Usefulness and Perceived Ease of Use, indicating that diverse conceptualizations enhance AI adoption. These insights suggest that AI4SE [3/4 of https://arxiv.org/abs/2504.20329v1]

🚨 Registration for #SIESTA2025 is OPEN!

📆 Aug 27–29 in Lugano, Switzerland 🇨🇭

💡 Topics include #AI4SE, #SE4AI, and the human side of #SoftwareEngineering

🎤 Speakers: Egor Bogomolov, Robert Feldt, Sonia Haiduc, Lori Pollock, and Alexander Serebrenik!

🔗 siesta.si.usi.ch/2025/

Challenges and Paths Towards AI for Software Engineering

This paper presents a broad analysis of AI4SE, offering a structured taxonomy of tasks, and identifying challenges limiting systems. Argues for automation that allows humans to focus on high-level design while AI handles routine development.

On the same topic, a cynical person would point out that the current message of human-centering of AI4SE from an early/established researcher in AI4SE could be read as a strong indication that they've seen the limits of the whole approach and decided they need a way out/forward. But not me, no

broader exploration of human-centric methods in next-generation AI4SE. [5/5 of https://arxiv.org/abs/2503.14936v1]

🚀 We’re gearing up for #SIESTA2025, the coolest summer school in #SoftwareEngineering that will take place in Lugano 🇨🇭 on Aug 27–29, 2025! We'll cover a broad range of topics, with a special focus on #AI for Software Engineering (#AI4SE). Stay tuned! 🔥 siesta.si.usi.ch/2025/

limitations of existing benchmarks. In this paper, we review 173 studies and identify 204 AI4SE benchmarks. We classify these benchmarks, analyze their limitations, and expose gaps in practices. Based on our review, we created BenchScout, a semantic [3/7 of https://arxiv.org/abs/2503.05860v1]

arXiv:2503.05860v1 Announce Type: new
Abstract: Benchmarks are essential for consistent evaluation and reproducibility. The integration of Artificial Intelligence into Software Engineering (AI4SE) has given rise to numerous benchmarks for tasks such [1/7 of https://arxiv.org/abs/2503.05860v1]

Happy to announce that our paper has been accepted at
@icseconf.bsky.social 🎉

💭 What if your whiteboard sketch could generate working code?

Read the details at arxiv.org/abs/2412.13386

@vhellendoorn.bsky.social
@ruimaranhao.bsky.social
@jonathanaldrich.bsky.social

#AI4SE #SE #Software

Envisioning the Next-Generation AI Coding Assistants: Insights & Proposals
As a research-product hybrid group in AI for Software Engineering (AI4SE), we present four key takea
https://arxiv.org/abs/2403.14592

Envisioning the Next-Generation AI Coding Assistants: Insights & Proposals
As a research-product hybrid group in AI for Software Engineering (AI4SE), we present four key takea
https://arxiv.org/abs/2403.14592

Envisioning the Next-Generation AI Coding Assistants: Insights & Proposals
As a research-product hybrid group in AI for Software Engineering (AI4SE), we present four key takea
https://arxiv.org/abs/2403.14592