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Scalable Prediction of Non-functional Properties in Software Product Lines
 

Summary: Scalable Prediction of Non-functional Properties in
Software Product Lines
Norbert Siegmund, Marko Rosenm¨uller
University of Magdeburg, Germany
Christian K¨astner, Paolo G. Giarrusso
Phillips University Marburg, Germany
Sven Apel, Sergiy S. Kolesnikov
University of Passau, Germany
Abstract--A software product line is a family of related
software products, typically, generated from a set of common
assets. Users can select features to derive a product that fulfills
their needs. Often, users expect a product to have specific non-
functional properties, such as a small footprint or a minimum
response time. Because a product line can contain millions of
products, it is usually not feasible to generate and measure non-
functional properties for each possible product of a product
line. Hence, we propose an approach to predict a product's non-
functional properties, based on the product's feature selection. To
this end, we generate and measure a small set of products, and
by comparing the measurements, we approximate each feature's

  

Source: Apel, Sven - Fakultät für Informatik und Mathematik, Universität Passau

 

Collections: Computer Technologies and Information Sciences