We hope you can join us for the upcoming SIGSOFT and ACM PD sponsored webinars.
Follow the links below to register for these free 60 minute webinars and be sure to share this with friends and colleagues who may be interested in these topics. Check out our past events, all available on demand.
Each talk will be followed by a moderated live question and answer session.
Note: If you’d like to attend but can’t make it to the virtual event, you still need to register to receive a recording of the webinar when it becomes available. You can stream this and all ACM SIGSOFT and ACM Learning Webinars on your mobile device, including smartphones and tablets.
Interested in presenting a webinar? Check our page for prospective presenters to find out how.
Upcoming Webinars
Stay tuned for more webinars coming soon!
Software Developer Accountability in the AI Era
Abstract
Being accountable to one’s teammates has positive effects on teamwork and efficiency. In this webinar, we introduce a series of studies we have conducted on the nature of accountability in software teams. We introduce the concepts of institutional and grassroots accountability, and expand on how intrinsic drivers of accountability, like pride in one’s code quality, impact team dynamics. We conclude by examining how the introduction of AI tools in code review influence these feelings of accountability. Our findings imply that the introduction of AI into SE must preserve social integrity and collective accountability mechanisms.
Bios
Neil Ernst, PhD, is an associate professor at the University of Victoria in the Department of Computer Science and Director, Matrix Institute for Data Science. He is a world-leading researcher in software architecture and requirements. His research focuses on building next generation software systems. He leverages past experience consulting with large government stakeholders and empirical datasets on software development and analysis. Current projects include technical debt in scientific software, climate informatics, and the impacts of AI on human aspects of software development. Neil teaches in the software engineering program, covering courses on software architecture, requirements, and data science for software analysis. Neil holds a PhD in Computer Science from the University of Toronto, and previously worked at the Software Engineering Institute, Carnegie Mellon University, as a senior researcher. Currently:
- Director, UVic Matrix Institute for Data Science
- Senior Associate Editor, Journal of Systems and Software
- Associate Editor, Journal of Empirical Software Engineering, registered reports
- program committees - among others, at various times, ICSE, RE, XP, CAISE, ER, MODELS
Adam Alami is an Associate Professor of Software Engineering at the University of Southern Denmark (SDU). He possesses extensive experience in the information technology sector, with a career spanning over two decades. Initially a software developer, Adam’s professional journey has evolved to encompass business analysis and project management. He has contributed to numerous major IT transformation projects. His research interests are centered on the cooperative, social, and human aspects of software engineering. Adam is dedicated to exploring how software development teams can enhance the quality of their output. His research examines the processes, ceremonies, and the underlying behaviors, norms, and traditions that significantly influence their pursuit of quality. Adam holds a PhD in Computer Science from the IT University of Copenhagen, Denmark, a Master’s degree in Computer Science from the University of Technology Sydney (UTS), and a Bachelor’s degree in Software Engineering from the Université du Québec à Montréal (UQAM).
Date and Time:
September 25, 2025, 1-2pm ET
Click here to join the webinar
Previous Webinars
Playlist of previous webinars is available on YouTube.
Quantum Software Engineering: Building Dependable Software for Quantum Computers
Abstract
Quantum computers are becoming increasingly powerful and accessible. For instance, it is now possible to access IBM’s quantum computers of up to 156 qubits via cloud services through open access. This opens up new opportunities for building novel quantum computing applications, which are enabled through quantum software. However, developing dependable software that runs on quantum computers and delivers these applications requires new software engineering methods. To this end, a novel field of Quantum Software Engineering (QSE) is emerging. This talk will introduce the field of QSE, covering various aspects such as requirements engineering, modeling, coding, testing, and debugging of quantum software. Moreover, the talk will discuss how classical AI can potentially assist in QSE activities and briefly touch on quantum artificial intelligence, which holds the potential to help with QSE. Finally, the talk will conclude by discussing open research questions and the outlook for future work.
Bio
Shaukat Ali is a Chief Research Scientist, Research Professor, and Head of the Department at Simula Research Laboratory in Oslo, Norway. He focuses on developing novel methods for creating cyber-physical systems by applying various advanced techniques, including artificial intelligence, digital twins, and quantum computing. He has led multiple national and European projects related to testing, search-based software engineering, model-based system engineering, and quantum software engineering. He is a co-founder of the International Workshop on Quantum Software Engineering at ICSE, the International Conference on Quantum Software, and the QC+AI workshop at AAAI. He represents Simula in various national and international quantum computing research and industrial networks.
Date and Time:
Tuesday September 9, 2025, 14:00-15:00 CEST (17:30-18:30 IST)
Recording:
Working with Non-Traditional Subjects; Lessons Learned from Using VR to Help Students with ADHD Focus
Abstract
Have you ever considered working with subjects other than traditional developers? For the past three years, we have done just that. We have found the journey full of new challenges and unexpected twists, but ultimately extremely rewarding. In this webinar we will detail our multi-year research project where we studied over 100 students with ADHD, helping them increase their focus on work using virtual reality headsets. Whether you are interested in studying students with ADHD, programmers with autism, or another non-traditional population, we walk you through the techniques and procedures, often outside of the typical computer scientists’ wheelhouse, that enabled our research. By the end of this webinar you will not only understand our findings on this particular project, you will understand what it takes to work with non-traditional subjects, populations that are often eager to engage with researchers and respond dramatically to the right interventions.
Bio
David Shepherd is an Associate Professor in the Department of Computer Science at Louisiana State University. He earned his Ph.D. and M.S. in Computer Science at the University of Delaware, and his B.S. in Computer Science at Virginia Commonwealth University. David has since worked as a postdoctoral fellow in the Department of Computer Science at the University of British Columbia, built sweat equity as employee #9 at Tasktop Technologies, and risen to Senior Principal Scientist at ABB Corporate Research. His research has produced tools that have been used by thousands, innovations that have been featured in the popular press, and practical ideas that have won business plan competitions. Dr. Shepherd currently serves as the Co-Editor-in-Chief of the Journal of Systems & Software.
Date:
Wednesday July 30, 10-11am ET
Recording:
From SBOM to Trusted Software Supply Chain: How Far Are We?
Dec 13, 2022 7:00 PM Eastern Standard Time
Registration and more information
Speaker: Xin Xia, moderator: Xing Hu
Abstract:
The security and transparency of the software supply chain have been an emergency problem met by the government, industry, and academia. Software Bill of Materials (SBOM), which records the ingredients that makeup software components, is widely used as a key building block to support the trusted software supply chain (TSSC). Except for SBOM, do we need to invent other technologies to support TSSC? What is the future road of TSSC? In this talk, I will present our recent progress in this area. I will introduce our initial works on SBOM generation and consumption, and then I will present our works relevant to vulnerability management (e.g., silent vulnerability bug reports and fixes identification, vulnerability detection, and CVE improvement) and supply chain attack prevention. Finally, I will briefly mention the future direction of TSSC.