Exploring Web Search Engines to Find Architectural Knowledge

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

doi:10.1109/ICSA51549.2021.00023

Exploring Web Search Engines to Find Architectural Knowledge

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

6 Citations (Scopus)

73 Downloads (Pure)

Abstract

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.

Original language	English
Title of host publication	Proceedings - IEEE 18th International Conference on Software Architecture, ICSA 2021
Publisher	IEEE
Pages	162-172
Number of pages	11
ISBN (Electronic)	978-1-7281-6260-7
ISBN (Print)	978-1-7281-6261-4
DOIs	https://doi.org/10.1109/ICSA51549.2021.00023
Publication status	Published - Mar-2021
Event	18th IEEE International Conference on Software Architecture, ICSA 2021 - Virtual, Stuttgart, Germany Duration: 22-Mar-2021 → 26-Mar-2021

Conference

Conference	18th IEEE International Conference on Software Architecture, ICSA 2021
Country/Territory	Germany
City	Virtual, Stuttgart
Period	22/03/2021 → 26/03/2021

Keywords

Architecture knowledge
Architecture design decisions
Search engines

Access to Document

10.1109/ICSA51549.2021.00023

Exploring Web Search Engines to Find Architectural KnowledgeFinal publisher's version, 2.13 MBLicence: Taverne

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@inproceedings{92f60e7d8441485b8047ada3debd1018,

title = "Exploring Web Search Engines to Find Architectural Knowledge",

abstract = "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.",

keywords = "Architecture knowledge, Architecture design decisions, Search engines",

author = "Mohamed Soliman and Marion Wiese and Yikun Li and Matthias Riebisch and Paris Avgeriou",

note = "Funding Information: This work was supported by ITEA3 and RVO under grant agreement No. 17038 VISDOM (https://visdom-project.github.io/website). Publisher Copyright: {\textcopyright} 2021 IEEE.; 18th IEEE International Conference on Software Architecture, ICSA 2021 ; Conference date: 22-03-2021 Through 26-03-2021",

year = "2021",

month = mar,

doi = "10.1109/ICSA51549.2021.00023",

language = "English",

isbn = "978-1-7281-6261-4",

pages = "162--172",

booktitle = "Proceedings - IEEE 18th International Conference on Software Architecture, ICSA 2021",

publisher = "IEEE",

}

Soliman, M, Wiese, M, Li, Y, Riebisch, M & Avgeriou, P 2021, Exploring Web Search Engines to Find Architectural Knowledge. in Proceedings - IEEE 18th International Conference on Software Architecture, ICSA 2021., 9426740, IEEE, pp. 162-172, 18th IEEE International Conference on Software Architecture, ICSA 2021, Virtual, Stuttgart, Germany, 22/03/2021. https://doi.org/10.1109/ICSA51549.2021.00023

TY - GEN

T1 - Exploring Web Search Engines to Find Architectural Knowledge

AU - Soliman, Mohamed

AU - Wiese, Marion

AU - Li, Yikun

AU - Riebisch, Matthias

AU - Avgeriou, Paris

PY - 2021/3

Y1 - 2021/3

N2 - 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.

AB - 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.

KW - Architecture knowledge

KW - Architecture design decisions

KW - Search engines

UR - http://www.scopus.com/inward/record.url?scp=85106990641&partnerID=8YFLogxK

U2 - 10.1109/ICSA51549.2021.00023

DO - 10.1109/ICSA51549.2021.00023

M3 - Conference contribution

AN - SCOPUS:85106990641

SN - 978-1-7281-6261-4

SP - 162

EP - 172

BT - Proceedings - IEEE 18th International Conference on Software Architecture, ICSA 2021

PB - IEEE

T2 - 18th IEEE International Conference on Software Architecture, ICSA 2021

Y2 - 22 March 2021 through 26 March 2021

ER -

Exploring Web Search Engines to Find Architectural Knowledge

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