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: 10.4121/1c8546e4-ecfd-4c60-986e-42198d5e0d5b

Džiugaitė, Neda (2023): Dataset of Software Testing Massive Open Online Courses (MOOCs). Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/1c8546e4-ecfd-4c60-986e-42198d5e0d5b.v1

Dataset

• Other Information and Computing Sciences
• Information and Computing Sciences

Education, Massive Open Online Courses, MOOC, Online learning, Software testing

2023

CC0

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

by Neda Džiugaitė

Software testing is a necessary aspect of software development. With high expectations placed on software testers and a shortage of qualified professionals, Massive Open Online Courses (MOOCs) have emerged as a potential solution to improve software testing education. MOOCs provide accessible education and can offer a comprehensive review of software testing principles and procedures, bridging the gap between formal education and industry expectations. A study of software testing MOOCs was conducted to examine key aspects. This dataset includes information about the MOOC providers used for the research, metadata about courses selected and the information gathered about course descriptions, teaching techniques and topics discussed.

• 2023-06-22 first online, published, posted

4TU.ResearchData

excel/xlsx

TU Delft, Faculty of Electrical Engineering, Mathematics & Computer Science (EEMCS)