Searched for: subject%3A%22Software%22
(1 - 8 of 8)
document
Plomp, E. (author), Dintzner, N.J.R. (author), Teperek, M. (author), Dunning, Alastair (author)
Research data management (RDM) is increasingly important in scholarship. Many researchers are, however, unaware of the benefits of good RDM and unsure about the practical steps they can take to improve their RDM practices. Delft University of Technology (TU Delft) addresses this cultural barrier by appointing Data Stewards at every faculty....
journal article 2019
document
Dintzner, N.J.R. (author)
Most modern software systems can be adjusted to satisfy sets of conflicting requirements issued by different groups of users, based on their intended usage or execution context. For systems where configurations are a core concern, specific implementation mechanisms are put in place to allow the instantiation of sets of tailored components. Among...
doctoral thesis 2017
document
Dintzner, N.J.R. (author), van Deursen, A. (author), Pinzger, M. (author)
Evolving a large scale, highly variable system is a challenging task. For such a system, evolution operations often require to update consistently both their implementation and its feature model. In this context, the evolution of the feature model closely follows the evolution of the system. The purpose of this work is to show that fine...
journal article 2017
document
Dintzner, N. (author), Van Deursen, A. (author), Pinzger, M. (author)
Evolving a large scale, highly variable systems is a challenging task. For such a system, evolution operations often require to update consistently both their implementation and its feature model. In this context, the evolution of the feature model closely follows the evolution of the system. The purpose of this work is to show that fine-grained...
report 2015
document
Dintzner, N.J.R. (author), Van Deursen, A. (author), Pinzger, M. (author)
Evolving a large scale, highly variable system is a challenging task. For such a system, evolution operations often require to update consistently both their implementation and its feature model. In this context, the evolution of the feature model closely follows the evolution of the system. The purpose of this work is to show that fine-grained...
journal article 2015
document
Dintzner, N.J.R. (author), Van Deursen, A. (author), Pinzger, M. (author)
Evolving a large scale, highly variable sys- tems is a challenging task. For such a system, evolution operations often require to update consistently both their implementation and its feature model. In this con- text, the evolution of the feature model closely follows the evolution of the system. The purpose of this work is to show that fine...
report 2015
document
Dintzner, N.J.R. (author), Kulesza, U. (author), Van Deursen, A. (author), Pinzger, M. (author)
Evolving large-scale, complex and highly variable systems is known to be a difficult task, where a single change can ripple through various parts of the system with potentially undesirable effects. In the case of product lines, and moreover multi-product lines, a change may affect only certain variants or certain combinations of features, making...
report 2014
document
Dintzner, N.J.R. (author), Van Deursen, A. (author), Pinzger, M. (author)
The Linux kernel feature model has been studied as an example of large scale evolving feature model and yet details of its evolution are not known. We present here a classification of feature changes occurring on the Linux kernel feature model, as well as a tool, FMDiff, designed to automatically extract those changes. With this tool, we...
report 2014
Searched for: subject%3A%22Software%22
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