Norbert Siegmund

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Customizable programs and program families provide user-selectable features to allow users to tailor a program to an application scenario. Knowing in advance which feature selection yields the best performance is difficult because a direct measurement of all possible feature combinations is infeasible. Our work aims at predicting program performance based(More)
A software product line (SPL) is a family of related programs of a domain. The programs of an SPL are distinguished in terms of features, which are end-user visible characteristics of programs. Based on a selection of features, stakeholders can derive tailor-made programs that satisfy functional requirements. Besides functional requirements, different(More)
The increased use of software product lines (SPLs) results in complex software systems in which products of multiple SPLs communicate and interact with each other. Such a system of interdependent SPLs has to be considered as a whole to achieve compatibility between different SPL instances. In this paper, we present an approach to design and configure multi(More)
Software product lines (SPLs) are used to create tailor-made software products by managing and composing reusable assets. Generating a software product from the assets of an SPL is possible statically before runtime or dynamically at load-time or runtime. Both approaches have benefits and drawbacks with respect to composition flexibility, performance, and(More)
Context: A software product line is a family of related software products, typically created from a set of common assets. Users select features to derive a product that fulfills their needs. Users often expect a product to have specific non-functional properties, such as a small footprint or a bounded response time. Because a product line may have an(More)
Almost every complex software system today is configurable. While configurability has many benefits, it challenges performance prediction, optimization, and debugging. Often, the influences of individual configuration options on performance are unknown. Worse, configuration options may interact, giving rise to a configuration space of possibly exponential(More)
Data management functionality is not only needed in large-scale server systems, but also in embedded systems. Resource restrictions and heterogeneity of hardware, however, complicate the development of data management solutions for those systems. In current practice, this typically leads to the redevelopment of data management because existing solutions(More)
<i>Software product lines (SPLs)</i> and <i>adaptive systems</i> aim at variability to cope with changing requirements. Variability can be described in terms of <i>features</i>, which are central for development and configuration of SPLs. In traditional SPLs, features are bound statically before runtime. By contrast, adaptive systems support feature binding(More)
A software product line (SPL) is a family of programs that share assets from a common code base. The programs of an SPL can be distinguished in terms of features, which represent units of program functionality that satisfy stakeholders’ requirements. The features of an SPL can be bound either statically at program compile time or dynamically at run time.(More)
A software product line is a set of program variants, typically generated from a common code base. Feature models describe variability in product lines by documenting features and their valid combinations. In product-line engineering, we need to reason about variability and program variants for many different tasks. For example, given a feature model, we(More)