Crowd-sourced Collection and Analysis of Software Packages

Master thesis (2023)

Authors

B. Li Electrical Engineering, Mathematics and Computer Science

Contributors

S. Proksch Software Engineering - EEMCS (mentor)
A. van Deursen Software Technology (graduation committee member)
S. Dumančić Algorithmics - EEMCS (coach)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2023 Bowu Li
More Info
expand_more

Published Date

22-08-2023

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

The escalating complexity of software systems in the digital age heavily relies on reusable code collections(packages) for their development and operation. Despite the numerous advantages of pre-existing libraries, managing dependencies can be intricate and time-consuming. This thesis focuses on enhancing package management tools through a decentralized, crowd-sourced approach to distribute the preprocessing load more effectively across the software development ecosystem. We propose a novel platform comprising a back-end server and a Maven plugin, fostering an efficient and collaborative environment for developers to share computational results. This platform not only alleviates server load but also allows for the storage and reuse of frequently used artifacts, thereby avoiding redundant computations and reducing production costs for users. This crowd-sourcing model empowers developers to seamlessly request and contribute analysis results, saving time and resources while benefiting the broader community.

Files

Bowu_MSc_Thesis.pdf
(.pdf | 0.538 Mb)