The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/9e59a43d-474b-46c2-9e29-c7c0b21bd6b4

De Munck, Philip (2023): Data underlying the Bachelor Thesis: Using Newsletters to Analyze Curated Software Testing Content. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/9e59a43d-474b-46c2-9e29-c7c0b21bd6b4.v1

Dataset

• Computer Software
• Information and Computing Sciences

newsletters, software testing, software testing knowledge, software testing practitioners

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Philip De Munck

The objective of this research was to analyze curated content published via newsletters and find out what software testing knowledge was present in those resources. Software Testing newsletters were analyzed in this research and the AtlasTI software was used with a grounded theory approach to tag the resources mentioned in these newsletters. The resources were obtained by visiting multiple curated software testing-related newsletters and downloading articles as PDFs. After downloading, open/axial coding was used to code each file based on various different categories. The attached excel files provide a detailed view of what common software testing technologies, techniques, problems, and more are mentioned in newsletter resources. This data set is linked to a bachelor thesis completed at the EEMCS faculty at the TU Delft. A link will be added after publication.

• 2023-06-21 first online, published, posted

4TU.ResearchData

*.xlsx

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science