Exploring Web Search Engines to Find Architectural Knowledge

Mohamed Soliman, Marion Wiese, Yikun Li, Matthias Riebisch, Paris Avgeriou

OnderzoeksoutputAcademicpeer review

7 Citaten (Scopus)
85 Downloads (Pure)


Software engineers need relevant and up-to-date architectural knowledge (AK), in order to make well-founded design decisions. However, finding such AK is quite challenging. One pragmatic approach is to search for AK on the web using traditional search engines (e.g. Google); this is common practice among software engineers. Still, we know very little about what AK is retrieved, from where, and how useful it is. In this paper, we conduct an empirical study with 53 software engineers, who used Google to make design decisions using the AttributeDriven-Design method. Based on how the subjects assessed the nature and relevance of the retrieved results, we determined how effective web search engines are to find relevant architectural information. Moreover, we identified the different sources of AK on the web and their associated AK concepts.

Originele taal-2English
TitelProceedings - IEEE 18th International Conference on Software Architecture, ICSA 2021
Aantal pagina's11
ISBN van elektronische versie978-1-7281-6260-7
ISBN van geprinte versie978-1-7281-6261-4
StatusPublished - mrt.-2021
Evenement18th IEEE International Conference on Software Architecture, ICSA 2021 - Virtual, Stuttgart, Germany
Duur: 22-mrt.-202126-mrt.-2021


Conference18th IEEE International Conference on Software Architecture, ICSA 2021
StadVirtual, Stuttgart

Citeer dit