Hello, Graduate students of Dal! We present to you the much-awaited list of executives for the Dalhousie Organization of Graduate Students. We all hope to get acquainted with you in person soon, as we work towards fostering a wholesome graduate experience.

It was a great honour to chair the program of IEEE SANER with Maria Teresa Baldassarre. Thanks to GC Foutse and Mohammad Hamdaqa for entrusting us with it. Thanks to the vibrant IEEE SANER community for making it a success! #SoftwareEngineering #SANER2025

Happy to share that our research paper - "Understanding the Impact of Domain Term Explanation on Duplicate Bug Report Detection" - by Usmi Mukherjee and Masud Rahman 🇧🇩🇨🇦 got accepted EASE 2025 (A). Pre-print is coming soon. cc RAISE Lab, Dalhousie University Dal Computer Science #SoftwareEngineering #debugging

Congratulations to indranil palit for getting his paper accepted in EASE 2025 (Research track).

🇨🇦 Attention Canadian #SoftwareEngineering researchers! Calling new faculty & students: Consider submitting your talk proposals to CSER 2025 (Spring). A great opportunity to connect with fellow researchers and discuss your amazing research. 📅 Apr 25 🔗 cser.ca/2025s

Join us at CSER 2025 in Halifax.

We will present our study on the reproducibility of deep learning bugs at FSE 2025, as our work has been accepted as a part of the journal-first track!

We will be here ICSE whole week, and I will be presenting my work on Fine-grained energy profiles of DL frameworks. Would love have a chat👋

Join CSER 2025 (spring), featuring two inspiring keynotes, one distinguished invited talk, one fishbowl discussion, and 18 student presentations. Registration closes on **May 25, 2025**. cser.ca/2025s/ Tushar Sharma Masud Rahman 🇧🇩🇨🇦 @[email protected] Foutse Olga Baysal (she/her) Dal Computer Science

Join us!

We start off the CSER Meetings - Canadian Software Eng. Research with Foutse’s keynote about Reliable ML Models for Code! Dalhousie University Dal Computer Science

Thanks to EASE 2025 for showcasing our work with a comprehensive summary and implications for stakeholders (tinyurl.com/yc259utr). If you are attending, please join our talk. Usmi Mukherjee will present our work. cc RAISE Lab, Dalhousie University Dal Computer Science

dear RL reward function designers: I hate that my AI-generated code is putting everything in try-except blocks. The program executes without exceptions but it’s all wrong and such a pain to debug. I cannot seem to steer my prompts out of this undesired behavior 😭

To what extent does refactoring actually remove smells? Which refactoring remove which smells? How often do smells disappear w/o any known refactoring? Do all smells live equally long? Our paper exploring these questions has recently accepted at ESEM 2025. Preprint coming soon!

I will present our work, "Towards Enhancing the Reproducibility of Deep Learning Bugs" today at FSE 2025, Cosmos 3A (3:00 PM). I will be happy to discuss this work and answer any questions. I am also open to discussions related to debugging of DL systems. cc Masud Rahman 🇧🇩🇨🇦 Foutse

SMART lab's PI, Tushar Sharma, has been honored with the Dean's Research Excellence Award for his contributions to Software Engineering and Green AI! #AcademicExcellence

There are many great researchers out there. But the ones that really stand out to me are the ones who are also kind, even when they don't need to be.

Happy to share that our article, "Towards Understanding the Challenges of Bug Localization in Deep Learning Systems", by @JahanSigma, Mehil Shah and Masud Rahman 🇧🇩🇨🇦, got accepted emsejournal. Pre-print: arxiv.org/abs/2402.01021. cc RAISE Lab, Dalhousie University Dal Computer Science #Debugging

good time to remind everyone that a high score on SWEbench really just indicates the training data contained a sufficiently large proportion of Django

Happy to share that our article - "Towards Understanding the Impact of Data Bugs on Deep Learning Models in Software Engineering" - by Mehil Shah, Masud Rahman 🇧🇩🇨🇦 and Foutse got accepted emsejournal. Preprint: arxiv.org/abs/2411.12137 cc RAISE Lab, Dalhousie University Dal Computer Science #debugging #bugs