PyHintSearch: Validated Combinatorial Search for Probabilistic Type Inference Models

Type annotations in Python are an integral part of static analysis. They can be used for code documentation, error detection and the development of cleaner architectures. By enhancing code quality, they contribute to the robustness, maintainability and comprehensibility of codebases. Tools like static type checkers use type annotations to detect...

Towards More Effective Querying of Medical Literature in Alexandria3K: How useful can Alexandria3K be for performing literature reviews

The Alexandria3K library, a versatile Python-based tool, has been expanded to include the integra- tion of the PubMed dataset, enriching its capabil- ities in the analysis of scientific papers. Origi- nally supporting major datasets like Crossref and US patents, and smaller yet significant datasets like ORCID. The addition of PubMed enables in...

Use of LLMs to Improve Affiliation Disambiguation in Alexandria3k

The growth of academic publications, heterogeneity of datasets and the absence of a globally accepted organization identifier introduce the challenge of affiliation disambiguation in bibliographic databases. In this paper, we create a baseline using the currently implemented algorithm for author affiliation linkage in Alexandria3k by comparing...

Topic Classification of Publications: Identifying publication topics based on existing journals

Accurate topic classification is crucial in the scientific community when it comes to finding relevant journals. However, the efficiency and accuracy of topic classification of publications do not seem to be at its best performance, especially with the fast-paced rise in the quantity of research papers. Our research aims to address this problem...

Author Name Disambiguation using Large Language Models: Contributions to a system for open reproducible publication research

Author name disambiguation, otherwise described as (publication) record linking, is a problem that has had considerable research dedicated to its solv- ing. Author attributions, calculating research met- rics and conducting literature reviews are amongst processes that experience increased difficulty due to ambiguous author names. In this study,...

Static Analysis Complements Machine Learning: A Type Inference Use Case

Type inference plays a pivotal role in modern software development as it aids in understanding code, detecting errors, and facilitating code completion. Two main approaches, static analysis, and machine learning, contribute to this process. Each approach has its own benefits and limitations. This thesis investigates the potential of combining...

Analyzing the Criticality of NPM Packages Through a Time-Dependent Dependency Graph

In (open-source) development, developers routinely rely on other libraries to improve their coding efficiency by reusing code. This reliance on other packages could cause issues when critical dependencies have suddenly have a vulnerability introduced to them. This work analyzes the criticality for NPM. To get an accurate picture of what the most...

Finding most used software application by using a time-dependency graph

Using open-source packages when developing software applications is the general practice among a vast amount of software developers. However, importing open-source code which may depend on other existing technologies may lead to the appearance of a transitive dependency chain. As a result, failure of packages with a high amount of transitive...

Analyzing the effect of introducing time as a component in Python dependency graphs

The use of open-source packages is a common practice among developers. It decreases the development time and improves maintainability. But adding a dependency to a project comes with inherit risks such as introducing vulnerabilities. A few solutions that help visualize all of the dependencies of a project exist already. However, none provide the...

Using a Time Dependency Graph to find the most widely used Debian package

The main principle of Open Source development is that developers can reuse different libraries over and over again to make their lives easier. That is why this practice has gained a lot of popularity. However, libraries usually depend on other already existing pieces of code. This means that whenever some small piece of code fails, the whole...

Analyzing the Criticality of Apache Maven Packages Through a Temporal Dependency Graph

Developers rely on different software to improve their efficiency as to reuse parts of code and be able to maintain it with ease, which is why open source software libraries have gained much pop- ularity over the past years. This paper analyzes what are the most used packages from Apache Maven, which is a build automation tool used primarily for...

Data Driven Decisions: Validating and Supporting a Continuous Experimentation Development Environment

The number of conducted A/B tests is growing throughout companies in software development. Many of these companies develop their own in-house Experimentation Platform to support these experiments. In this thesis we identify factors that influence the trustworthiness and soundness of A/B tests by conducting a literature review. We discuss...