arXiv Open Access 2021

Exploring Web Search Engines to Find Architectural Knowledge

Mohamed Soliman Marion Wiese Yikun Li Matthias Riebisch Paris Avgeriou
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Abstrak

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 Attribute-Driven-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.

Topik & Kata Kunci

Penulis (5)

M

Mohamed Soliman

M

Marion Wiese

Y

Yikun Li

M

Matthias Riebisch

P

Paris Avgeriou

Format Sitasi

Soliman, M., Wiese, M., Li, Y., Riebisch, M., Avgeriou, P. (2021). Exploring Web Search Engines to Find Architectural Knowledge. https://arxiv.org/abs/2103.11705

Akses Cepat

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Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓