2024 Proceeding- General Chairs:
- Tim Menzies,
- Bowen Xu,
- Program Chairs:
- Hong Jin Kang,
- Jie M. Zhang
- Sponsor:
- sigsoft
Welcome to the The 4th International Workshop on Software Engineering and AI for Data Quality (SEA4DQ 2024), held in Brazil, on 16 July, 2024, co-located with the 32nd ACM International Conference on the Foundations of Software Engineering (FSE 2024). SEA4DQ received a total of three submissions from all over the world, from which all the papers were included in the program. The program also features two keynotes, by Denys Poshyvanyk and Qinghua Lu, on the promises, dangers, and best practices of working at the intersection of data science, machine learning and software engineering.
Proceeding Downloads
Responsible AI Engineering from a Data Perspective (Keynote)
The rapid advancements in AI, particularly with the emergence of large language models (LLMs) and their diverse applications, have attracted huge global interest and raised significant concerns on responsible AI and AI safety. While LLMs are impressive ...
Evaluating the Quality of Open Source Ansible Playbooks: An Executability Perspective
Infrastructure as code (IaC) is the practice of automatically managing computing platforms, such as Internet of Things (IoT) platforms. IaC has gained popularity in recent years, yielding a plethora of software artifacts, such as Ansible playbooks that ...
A Pilot Study in Surveying Data Challenges of Automatic Software Engineering Tasks
The surge in automatic SE research aims to boost development efficiency and quality while reducing costs. However, challenges such as limited real-world project data and inadequate data conditions constrain the effectiveness of these methods. To ...
A Hitchhiker’s Guide to Jailbreaking ChatGPT via Prompt Engineering
- Yi Liu,
- Gelei Deng,
- Zhengzi Xu,
- Yuekang Li,
- Yaowen Zheng,
- Ying Zhang,
- Lida Zhao,
- Tianwei Zhang,
- Kailong Wang
Natural language prompts serve as an essential interface between users and Large Language Models (LLMs) like GPT-3.5 and GPT-4, which are employed by ChatGPT to produce outputs across various tasks. However, prompts crafted with malicious intent, known ...
Index Terms
- Proceedings of the 4th International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things