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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). ...

Online social networks have become an integral aspect of our daily lives and play a crucial role in shaping our relationships with others. However, bugs and glitches, even minor ones, can cause anything from frustrating problems to serious data leaks ...

A workshop is proposed in which participants will build an electronic circuit on a piece of wood that creates a musical instrument. Creativity and non-conformity are encouraged. Participants will keep their creation with which they can entertain or ...

Industry panelists share perspectives and insights for students, educators, and creative professionals who are considering careers in animation, computer graphics, creative technologies, and interactive techniques. Within rapid and ever-expanding fields ...

This paper introduces a simple but innovative assignment technique, the "How-To" as a way to simplify the relationship with AI in assessment events. As an assignment, the "How-To" guide merges reflective practice with technical skill development in ...

In game development curriculum, mastering programming skills is important. Traditional methods to teach programming in computer science curriculum often face challenges in relevance for game development students, leaning towards individual mastery of the ...

Trust is crucial for technological acceptance, continued usage, and teamwork. However, human-robot trust, and human-machine trust more generally, suffer from terminological disagreement and construct proliferation. By comparing, mapping, and analyzing ...

Federated learning involves training statistical models over edge devices such as mobile phones such that the training data are kept local. Federated Learning (FL) can serve as an ideal candidate for training spatial temporal models that rely on ...

Modern Code Review (MCR) is an integral part of the software development process where developers improve product quality through collaborative discussions. Unfortunately, these discussions can sometimes become heated by the presence of inappropriate ...

GitHub's Copilot for Pull Requests (PRs) is a promising service aiming to automate various developer tasks related to PRs, such as generating summaries of changes or providing complete walkthroughs with links to the relevant code. As this innovative ...

We investigate the influence of Human Factors on reproducible machine learning, using a novel “Idealized Machine Learning Pipeline” we introduce as a conceptual framework. The study of Human Factors seeks to ensure that systems meet the needs and ...

The increasing reliance on machine learning models in scientific research and day-to-day applications – and the near-opacity of their associated computational methods – creates a widely recognized need to enable others to verify results coming from ...

Searching for novelty-destroying prior art is an important part of patent application drafting and invalidation. The task is challenging due to the detailed information needed to determine whether a document is novelty-destroying or simply closely ...

Creating efficient and effective search and recommendation algorithms has been the main objective of industry practitioners and academic researchers over the years. However, recent research has shown how these algorithms trained on historical data lead ...

During the past decades, healthcare institutions continually amassed clinical data that is not intended to support research. Despite the increasing number of publicly available electronic health record (EHR) datasets, it is difficult to find publicly ...

Modern Query Auto-Completion (QAC) systems utilize natural language generation (NLG) using large language models (LLM) to achieve remarkable performance. However, these systems are prone to generating biased and toxic completions due to inherent learning ...

Objectives. The increasing demand for computing skills has led to a rapid rise in the development of new computer science (CS) curricula, many with the goal of equitably broadening participation of underrepresented students in CS. While such initiatives ...

Crowdsourcing tasks have been widely used to collect a large number of human labels at scale. While some of these tasks are deployed by requesters and performed only once by crowd workers, others require the same worker to perform the same task or a ...