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Service-based software: the future for flexible software

Authors: Keith H. Bennett; Paul J. Layzell 0001; David Budgen; Pearl Brereton; Linda A. Macaulay; Malcolm Munro;

Service-based software: the future for flexible software

Abstract

For the past 40 years, the techniques, processes and methods of software development have been dominated by supply-side issues, giving rise to a software industry oriented towards developers rather than users. To achieve the levels of functionality, flexibility and time-to-market required by users, a radical shift is required in the development of software, with a more demand-centric view, leading to software which will be delivered as a service within the framework of an open marketplace. Already, there are some signs that this approach is being adopted by industry, but in a very limited way. We summarise research and a research method which has resulted in a long-term strategic view of software engineering innovation. Based on this foundation, we describe more recent work, which has resulted in an innovative demand-side model for the future of software. We propose a service architecture in which components may be bound instantly, just at the time they are needed, and then the binding may be discarded. A major benefit of this approach is that it leads to highly flexible and agile software that should be able to meet rapidly changing business needs.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
79
Top 10%
Top 1%
Top 10%
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