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Towards a taxonomy of software connectors

Mehta, Nikunj R., Medvidovic, Nenad, Phadke, Sandeep·2000·Proceedings of the 22nd international conference on Software engineering - ICSE '00

Abstract

Software systems of today are frequently composed from prefabricated, heterogeneous components that provide complex functionality and engage in complex interactions. Existing research on component-based development has mostly focused on component structure, interfaces, and functionality. Recently, software architecture has emerged as an area that also places significant importance on component interactions, embodied in the notion of software connectors. However, the current level of understanding and support for connectors has been insufficient. This has resulted in their inconsistent treatment and a notable lack of understanding of what the fundamental building blocks of software interaction are and how they can be composed into more complex interactions. This paper attempts to address this problem. It presents a comprehensive classification framework and taxonomy of software connectors. The taxonomy is obtained through an extensive analysis of existing component interactions. The taxonomy is used both to understand existing software connectors and to suggest new, unprecedented connectors. We demonstrate the use of the taxonomy on the architecture of a large, existing system.

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Metadata

Authors
Mehta, N. R., Medvidovic, N., & Phadke, S.
Venue
Proceedings of the 22nd international conference on Software engineering - ICSE '00
Publisher
ACM Press
Published
2000
Pages
178-187
ISSN
0270-5257 (ISSN-L)
OpenAlex
W2156437019
Cited by
397
References
2
FWCI
18.32
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Towards a taxonomy of software connectors. https://app.cochat.ai/papers/10.1145/337180.337201
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Mehta, N. R., Medvidovic, N., & Phadke, S. (2000). Towards a taxonomy of software connectors. Proceedings of the 22nd international conference on Software engineering - ICSE '00. https://doi.org/10.1145/337180.337201

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.