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@PHDTHESIS{Koren:793376,
author = {Koren, István},
othercontributors = {Jarke, Matthias and Schuh, Günther and Klamma, Ralf},
title = {{D}ev{O}ps{U}se: community-driven continuous innovation of
web information infrastructures},
school = {Rheinisch-Westfälische Technische Hochschule Aachen},
type = {Dissertation},
address = {Aachen},
reportid = {RWTH-2020-06868},
pages = {1 Online-Ressource (xiv,207 Seiten) : Illustrationen,
Diagramme},
year = {2020},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University; Dissertation, Rheinisch-Westfälische Technische
Hochschule Aachen, 2020},
abstract = {Since its invention in 1989, the only reliable factor on
the Web has been its continuous change and diffusion into
more and more application areas. The evolution was shaped by
an interplay of new technologies on the one hand, and
innovative application ideas from communities on the other.
At a technological scale, alternation between vastly
distributed and centralized architectures can be observed.
The current challenges caused by the ongoing digital
transformation are changing workplace settings and the
adoption of the Internet of Things in industrial use cases,
as for example in the context of Industry 4.0. On the Web,
new technologies and device types sprawl together with new
communication protocols and revised application programming
interfaces (APIs). This inhibits the demanded rapid
innovation cycles and creates a disruptive and unstable
environment in which the requirements of endless communities
must be met. Information systems infrastructure, while only
partially visible and thus hard to grasp, has a strong
influence on user practices. Therefore, the aim of this
thesis is to stabilize the dichotomies apparent in the Web
by means of an agile information systems development
methodology. It supports the evolution of infrastructure
through community-driven and model-based technologies to
guide it on a sustainable path of continuous innovation. Our
DevOpsUse methodology includes users in the process of
infrastructuring, i.e. the appropriation of infrastructure
during its usage. Agile development practices in software
engineering, in particular DevOps, promote stronger
cooperation between development and operating teams.
DevOpsUse additionally fosters a stronger involvement of end
users in software development processes. It intends to
empower communities of practice to create and run their own
software on their specific infrastructure, with the help of
various newly developed software artifacts. The
instantiation of our DevOpsUse life cycle model starts with
Requirements Bazaar, a Web-based tool involving end users in
the idea generation and evolution phases. Direwolf is a
model-based framework bridging the gap between technocratic
API descriptions created by developers, and user interfaces
understood by end users. Faster development times require a
streamlined deployment, which we achieve with the software
container-based Layers Box. Ultimately, distributed
development and operation go hand in hand with our
evolutionary analytics platform SWEVA. The newly developed
DevOpsUse methodology with its four areas, all involving end
users, has been successfully validated by the transitions
between three generations of technologies: near real-time
peer-to-peer Web architectures, edge computing, and the
Internet of Things. All technological leaps could be
adequately mastered and supported by significantly
end-user-oriented measures. In particular, we were able to
demonstrate our methodology's capabilities through
longitudinal studies in several large-scale international
digitalization projects. DevOpsUse scalability and
involvement aspects were confirmed in entrepreneurial and
medical teaching courses. Beyond Web information systems,
the framework and its open source tools are applicable in
further innovative areas like mixed reality and Industry
4.0. Its broad adaptability testifies that DevOpsUse has the
potential to unlock sustainable innovation capabilities.},
cin = {121810 / 120000},
ddc = {004},
cid = {$I:(DE-82)121810_20140620$ / $I:(DE-82)120000_20140620$},
pnm = {LAYERS - Learning Layers - Scaling up Technologies for
Informal Learning in SME Clusters (318209) / WEKIT -
Wearable Experience for Knowledge Intensive Training
(687669) / EXC 2023: Internet of Production (IoP)
(390621612)},
pid = {G:(EU-Grant)318209 / G:(EU-Grant)687669 /
G:(GEPRIS)390621612},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2020-06868},
url = {https://publications.rwth-aachen.de/record/793376},
}
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