Ellis Emmanuel Eghan

• Doctor of Philosophy
• Lecturer at University of Cape Coast

Machine Learning (ML) academic publications commonly provide open-source implementations on GitHub, allowing their audience to replicate, validate, or even extend the ML algorithms, data sets and metadata. However, thus far little is known about the degree of collaboration activity happening on such ML research repositories, in particular regarding...

Despite their proliferation, growing sustainable software ecosystems (SECOs) remains a substantial challenge. One approach to mitigate this challenge is by collecting and integrating feedback from distributors (distros) and end-users of the SECO releases into future SECO releases, tools, or policies. This paper performs a socio-technical analysis o...

The use of external libraries in today’s software projects allows developers to take advantage of features provided by such application programming interfaces (APIs) without having to reinvent the wheel. However, APIs have also introduced new challenges to the software engineering community (e.g. API incompatibilities, software vulnerabilities, and...

Machine Learning (ML) research publications commonly provide open-source implementations on GitHub, allowing their audience to replicate, validate, or even extend machine learning algorithms, data sets, and metadata. However, thus far little is known about the degree of collaboration activity happening on such ML research repositories, in particula...

Despite the growing success of open-source software ecosystems (SECOs), their sustainability depends on the recruitment and involvement of ever-larger contributors. As such, onboarding, i.e., the socio-technical adaptation of new contributors to a SECO, forms a significant aspect of a SECO's growth that requires substantial resources. Unfortunately...

Previous studies have investigated a wide range of factors potentially explaining software build breakages, focusing primarily on build-triggering code changes or previous CI outcomes. However, code quality factors such as the presence of code/test smells have not been yet evaluated in the context of CI, even though such factors have been linked to...

The role of machine learning frameworks in software applications has exploded in recent years. Similar to non-machine learning frameworks, those frameworks need to evolve to incorporate new features, optimizations, etc., yet their evolution is impacted by the interdisciplinary development teams needed to develop them: scientists and developers. One...

Nowadays, developers are often using multiple programming languages to exploit the advantages of each language and to reuse code. However, dependency analysis across multi-language is more challenging compared to mono-language systems. In this paper, we introduce two approaches for multi-language dependency analysis: S-MLDA (Static Multi-language D...

The globalization of the software industry has led to an emerging trend where software systems depend increasingly on the use of external open-source external libraries and application programming interfaces (APIs). While a significant body of research exists on identifying and recommending potentially reusable libraries to end users, very little i...

The introduction of the Internet has revolutionized not only our society but also transformed the software industry, with knowledge and information sharing becoming a central part of software development processes. The resulting globalization of the software industry has not only increased software reuse, but also introduced new challenges. Among t...