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Architectural mismatch or why it's hard to build systems out of existing parts

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Garlan, David, Allen, Robert, Ockerbloom, John·1995·Proceedings of the 17th international conference on Software engineering - ICSE '95

Abstract

Many would argue that future breakthroughs in software productivity will depend on our ability to combine existing pieces of software to produce new applications.An important step towards this goal is the development of new techniques to detect and cope with mismatches in the assembled parts.Some problems of composition are due to low-level issues of interoperability, such as mismatches in programming languages or database schemas.However, in this paper we highlight a different, and in many ways more pervasive, class of problem: architectural mismatch.Specifically, we use our experience in building a family of software design environments from existing parts to illustrate a variety of types of mismatch that center around the assumptions a reusable part makes about the structure of the application in which is to appear.Based on this experience we show how an architectural view of the mismatch problem exposes some fundamental, thorny problems for software composition and suggests possible research avenues needed to solve them.

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Metadata

Authors
Garlan, D., Allen, R., & Ockerbloom, J.
Venue
Proceedings of the 17th international conference on Software engineering - ICSE '95
Publisher
ACM Press
Published
1995
Pages
179-185
ISSN
0270-5257 (ISSN-L)
OpenAlex
W2109033710
Cited by
552
References
0
FWCI
18.56
Type
conference paper
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Architectural mismatch or why it's hard to build systems out of existing parts. https://app.cochat.ai/papers/10.1145/225014.225031
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Garlan, D., Allen, R., & Ockerbloom, J. (1995). Architectural mismatch or why it's hard to build systems out of existing parts. Proceedings of the 17th international conference on Software engineering - ICSE '95. https://doi.org/10.1145/225014.225031

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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.