Proceedings

The year 2024 has sparked extensive discussions about the future of software engineering research, particularly for library dependencies and the software ecosystems they create. In this talk, I will take you on an experiential journey spanning the last ...

A vast number of incoming bug reports demand effective methods to identify priority and severity for bug triaging. With increased technological advancement, machine learning and deep learning have been extensively examined to address this problem. ...

Open Source Software (OSS) hosting platforms like GitHub also contain many non-software projects that should be excluded from the dataset for most software engineering research studies. However, due to the lack of obvious indicators, researchers have to ...

Blockchain and Smart Contracts (SCs) have emerged as a promising avenue for organizations looking to innovate. Similar to other fields of software engineering, collaborative platforms, such as GitHub, are gaining attention in SCs development. Moreover, ...

Smart contracts (SCs) significance and popularity increased exponentially with the escalation of decentralised applications (dApps), which revolutionised programming paradigms where network controls rest within a central authority. Since SCs constitute ...

Vulnerability datasets have become an important instrument in software security research, being used to develop automated, machine learning-based vulnerability detection and patching approaches. Yet, any limitations of these datasets may translate into ...

Communities on GitHub often use issue labels as a way of triaging issues by assigning them priority ratings based on how urgently they should be addressed. The labels used are determined by the repository contributors and not standardised by GitHub. This ...

This paper investigates the relationships between hyperparameters of machine learning and fairness. Data-driven solutions are increasingly used in critical socio-technical applications where ensuring fairness is important. Rather than explicitly encoding ...