FM+SE School

November 16-17, 2023, Mexico City

About The School

About The School

The impact of Foundation/Large Models (FM) on the Software Industry and on Software Engineering (SE) is breathtaking, especially given the rapid and impactful progress in this nascent field. FMs promise to dramatically change and improve how we develop software (FM4SE) as well as the actual definition of software and the software engineering needs for this new nascent field itself (SE4FM).

As academics and practitioners alike need to prepare for the FM revolution, it is of critical importance that we kickstart a global dialogue on important strategic future directions and challenges, on important community-wide initiatives and on the shape of Software and SE in the next few years. Such a dialogue requires close interactions between industry and academia.

Furthermore, young professionals and researchers require training in state-of-the-art and state-of-the-future techniques and insights that will guide the future of FM4SE and SE4FM.

On behalf of the organizing committee of FM+SE Vision 2030, we announce the FM+SE School. The School will be held on Nov 16-17, 2023 in Mexico City. The School will provide lectures and panels by leading industrial and academic experts.

School Program

INTRO

[room Nogal 1/2]


FM+SE Vision Opening


Demos


Panel A: Impact of Foundation Models on Software

  • Zhen Ming (Jack) Jiang, York University
  • Rob DeLine, Microsoft Research
  • Charles Sutton, Google
  • Ipek Ozkaya, SEI
  • Prem Devanbu, UC Davis

Chair: Ahmed E. Hassan, Queen’s University


Panel B: Impact of Foundation Models on Developer Productivity

  • Edward Aftandilian, GitHub
  • Peggy Storey, University of Victoria
  • Foutse Khomh, Polytechnique Montreal
  • Hironori Washizaki, Waseda University
  • Priyanshu Gupta, Microsoft Research

Chair: Tom Zimmermann, Microsoft Research

Break

FM+SE 101 LECTURES (PART 1)

[room Nogal 1/2]


Lecture covers FM4SE, SE4FM, SE4FMApps; core technologies, state of the arts and practices

Lunch in lobby

FM+SE 101 LECTURES (PART 2)

[room Nogal 1/2]


Lecture covers FM4SE, SE4FM, SE4FMApps; core technologies, state of the arts and practices

Break

FM-DRIVEN SE

[room Nogal 1/2; Filipe Cogo]


"Beyond Code: Helping Software Teams with LLMs"

by Rob DeLine and Thomas Zimmermann from Microsoft Research, USA


"DIDACT: Large sequence models for software development activities"

by Petros Maniatis from Google DeepMind

LIGHTNING TALKS

[room Nogal 1/2; Foutse Khomh]

Reception in lobby

TODAY'S CHALLENGES of SE for FMs

[room Nogal 1/2]


Demos


Panel C: SE Challenges for Foundation Models

  • Raymond Li, servicenow
  • Petros Maniatis, Google
  • Kensen Shi, Google
  • Vincent Hellendoorn, Google
  • Boyuan Chen, Huawei

Chair: Zhen Ming (Jack) Jiang, York University


Panel D: Foundation Models for Software Engineering

  • Gustavo Soares, Microsoft
  • Andreas Zeller, Saarland University
  • Alberto Bacchelli, University of Zurich
  • Jie Zhang, King's College London
  • Yiling Lou, Fudan University

Chair: Bram Adams, Queen’s University

Break

INDUSTRIAL EXPERIENCE in BUILDING FMs

[room Nogal 1/2; Ali Ouni]


"Starcoder: may the source be with you"

by Raymond Li, ServiceNow and StarCoder Team, Canada


"CodeCompose: A Large-Scale Industrial Deployment of AI-assisted Code Authoring"

by Vijayaraghavan Murali, Chandra Shekhar Maddila from Meta, USA

Lunch in lobby

SOFTWARE QUALITY and FMs

[room Nogal 1/2; Abdul Ali Bangash]


"Towards Better Software Quality in the Era of Large Language Models"

by Prof. Lingming Zhang from University of Illinois at Urbana-Champaign, USA. (covering topics including program synthesis, program repair, and fuzz testing)


"To Err is Inhuman: Language Models and Buggy Code"

by Prof. Prem Devanbu, UC Davis, USA

Break

CHALLENGES of NEXT-GEN SOFTWARE

[room Nogal 1/2; Ahmed E. Hassan]


"Building Trustworthy Foundation Model Applications"

by Dayi Lin, Huawei, Canada


"The legal and governance landscape of large language models and their use"

by Prof. Daniel German at University of Victoria, Canada

Closing

Event Venue

Hilton Mexico City Santa Fe

Antonio Dovali Jaime 70, Santa Fe,
Zedec Sta Fé, Álvaro Obregón,
01219 Ciudad de México,
CDMX, Mexico
website

Registration

Academic registration:

The school cost is $300 USD for students and $500 USD for professors and researchers.

Industry registration/sponsorship:

$1,000 USD sponsorship would provide one FREE registration as well as logo and acknowledgement on all school material and website. Please contact us if your company wishes to send several employees, however please keep in mind that space is quite limited and we wish to provide access to a wider range of groups.

Registration process:

Due to limited spots, please express your interest to register at this link by Sept 30th, 2023. Notification will be sent out by Oct 2nd, 2023 with a link to register and pay your registration. You then have one week to pay your registration fee otherwise we will move your spot to another participant in the waiting list.

Accommodation:

School participants are expected to arrange their own accommodations. There are many international hotels around the Hilton, in addition to the Hilton itself, which has ample room availability at this moment.

Mexico VISA:

Unfortunately, we are not able to provide invitation letters for Mexico visas at this time. However, please check the Mexico embassy in your country as nationals from many countries might not require one. Check here for more details.

Sponsors

(pending)

The school is partially funded by NSERC, SEMLA, IVADO, Huawei, and ACM SIGSOFT (pending). Please contact us if your company wishes to co-sponsor the event.

Contact Us

If you have any questions or concerns, do not hesitate to contact us. We hope you can join us in Mexico this November!


Ahmed E. Hassan, Fellow of ACM/IEEE/NSERC Steacie, Queen’s University
Bram Adams, IEEE Senior Member, Queen’s University
Foutse Khomh, IEEE Senior Member, Canada CIFAR AI Chair and IVADO Research Chair, Polytechnique Montreal
Nachi Nagappan, Fellow of ACM/IEEE, Meta
Thomas Zimmermann, Fellow of ACM/IEEE, Microsoft Research