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</script>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.
ddc:004, 000, DATA processing & computer science, info:eu-repo/classification/ddc/004, 004
ddc:004, 000, DATA processing & computer science, info:eu-repo/classification/ddc/004, 004
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
