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Software Contracts for Component-Based Web Engineering

Authors: Gaedke, Martin; Nussbaumer, Martin; Tonkin, Emma;

Software Contracts for Component-Based Web Engineering

Abstract

As an emerging technology, the Web is full of unique challenges for developers, designers – and engineers. Its use for increasingly complex applications such as e-commerce and banking, involving connection to many data sources, highlighted a number of common difficulties. During the design phase, good modeling of complex sites is difficult; during implementation, the design models are often found to be difficult to translate into an implementation model; afterwards, maintenance and long-term management of the site’s evolution offer problems of their own. Qualities such as integrity, security, and usability are often afterthoughts, or left unconsidered – most particularly during the site’s post-deployment evolution. Many organizations working for the Web still use ad-hoc, chaotic development and maintenance methods, even though the issues surrounding development are now widely known.

Countries
United Kingdom, Germany
Keywords

ddc:004, 000, DATA processing & computer science, info:eu-repo/classification/ddc/004, 004

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citations
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!
0
Average
Average
Average
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