The goal of industrial talks is to share experiences in industrial applications of software engineering of AI-enabled systems and lessons learned from applications of various techniques and practices. This type of submission is only open to individuals willing to share practical lessons learned directly from the field.
Accepted Papers
| Title | |
|---|---|
| Helping companies de-risk the integration of first, second and third-party AI models into a customer engagement platform Industrial Talks |
Call for Industrial Talks
We solicit practitioner-oriented talks on topics that are likely to be relevant to both industrial and academic attendees. Talk proposals should include a short abstract (150 words), and up to 8 keywords. In addition, the proposal should include a “talk description”, which describes what the talk will be about, highlighting its key points and the reason why it is relevant and important to the software engineering community (500 words). This description will be included in the CAIN’23 proceedings as a two-page long extended abstract for each industrial talk.
In addition, please include up to 10 slides that represent the content of your talk. Submissions should also include the title, the name and affiliation of each presenter, and a speaker biography. Talk proposals can include supporting supplemental materials such as white papers or videos. Please indicate a desired length of either 15 min or 30 min for your talk.
The submitted proposals will be reviewed by the Industrial Track Committee.
Industry talk proposals should be submitted through this HotCRP URL
Mon 15 MayDisplayed time zone: Hobart change
17:15 - 18:45 | Data & Model OptimizationPapers / Posters / Industrial Talks at Virtual - Zoom for CAIN Chair(s): Justus Bogner University of Stuttgart Click here to Join us over zoomClick here to watch the session recording on Youtube | ||
17:15 15mShort-paper | Automatically Resolving Data Source Dependency Hell in Large Scale Data Science Projects Papers Pre-print | ||
17:30 15mShort-paper | Dataflow graphs as complete causal graphs Papers Andrei Paleyes Department of Computer Science and Technology, Univesity of Cambridge, Siyuan Guo Max Planck Institute for Intelligent Systems, Bernhard Schölkopf MPI Tuebingen, Neil D. Lawrence Department of Computer Science and Technology, Univesity of Cambridge Pre-print | ||
17:45 20mLong-paper | Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AIDistinguished paper Award Candidate Papers Tim Yarally Delft University of Technology, Luís Cruz Delft University of Technology, Daniel Feitosa University of Groningen, June Sallou Delft University of Technology, Arie van Deursen Delft University of Technology Pre-print | ||
18:05 15mShort-paper | Prevalence of Code Smells in Reinforcement Learning Projects Papers Nicolás Cardozo Universidad de los Andes, Ivana Dusparic Trinity College Dublin, Ireland, Christian Cabrera Department of Computer Science and Technology, Univesity of Cambridge Pre-print Media Attached | ||
18:20 20mLong-paper | Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges Papers Hans-Martin Heyn University of Gothenburg & Chalmers University of Technology, Khan Mohammad Habibullah University of Gothenburg, Eric Knauss Chalmers | University of Gothenburg, Jennifer Horkoff Chalmers and the University of Gothenburg, Markus Borg CodeScene, Alessia Knauss Zenseact AB, Polly Jing Li Kognic AB Pre-print | ||
Sat 20 MayDisplayed time zone: Hobart change
11:00 - 12:30 | |||
11:00 30mTalk | safe.trAIn – Engineering and Assurance of a Driverless Regional Train Industrial Talks Marc Zeller Siemens AG | ||
11:30 30mTalk | Developing ethical and trustworthy AI/ML in the warfare domain Industrial Talks Hector Barron-Escobar Leidos Australia | ||
12:00 30mTalk | Helping companies de-risk the integration of first, second and third-party AI models into a customer engagement platform Industrial Talks Hilary Cinis Salesforce Ignite APAC | ||
| Fri 17 Feb 2023 Proposals |
