theses_martens.bib

@phdthesis{koziolek2011g,
  address = {Karlsruhe, Germany},
  author = {Anne Koziolek},
  month = {July},
  pdf = {http://sdqweb.ipd.kit.edu/publications/pdfs/koziolek2011g.pdf},
  school = {Institut f\"ur Programmstrukturen und Datenorganisation (IPD), Karlsruher Institut f\"ur Technologie},
  title = {Automated Improvement of Software Architecture Models for Performance and Other Quality Attributes},
  url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000024955},
  urn = {urn:nbn:de:swb:90-249552},
  year = {2011}
}
@mastersthesis{martens2007a,
  abstract = {To estimate the consequences of design decisions is a crucial element of an engineering discipline. Model-based performance prediction approaches target the estimation of a system's performance at design time. Next to accuracy, the approaches also need to be validated for their applicability to be usable in practice. The applicability of the model-based performance prediction approach Palladio was never validated before. Previous case studies validating Palladio were concerned with the accuracy of the predictions in comparison to measurements. In this thesis, I empirically validated the applicability of Palladio and, for comparison, of the well-known performance prediction approach SPE. While Palladio has the notion of a component, which leads to reusable prediction models, SPE makes not use of any componentisation of the system to be analysed. For the empirical validation, I conducted an empirical study with 19 computer science students. The study was designed as a controlled experiment to achieve a high validity of the results. The results showed that both approaches were applicable, although both have specific problems. Furthermore, it was found that the duration of conducting a prediction using Palladio was significantly higher than duration using SPE, however, the influence of potential reuse of the Palladio models was excluded by the experiment design.},
  author = {Martens, Anne},
  keywords = {Empirical study,controlled experiment,Palladio,SPE},
  month = {November},
  note = {one version with appendix, one short version under '.pdf' links},
  pdf = {http://sdqweb.ipd.kit.edu/publications/pdfs/martens2007a.pdf},
  school = {Carl-von-Ossietzky Universit{\"a}t Oldenburg},
  title = {{E}mpirical {V}alidation of the {M}odel-driven {P}erformance {P}rediction {A}pproach {P}alladio},
  url = {http://sdqweb.ipd.kit.edu/publications/pdfs/martens2007a-complete.pdf},
  year = {2007}
}
@misc{martens2005a,
  abstract = {For the design of component based systems, it is important to guarantee non-functional attributes before actually composing a system. Performance usually is a crucial property of a software system, for safety or usability reasons. Several approaches to predict performance characteristics of a component based system in an early stage of development have been introduced in recent times. However, for an engineering discipline, not only the propose of techniques is needed, but also empirical studies of their applicability. This work empirically compares and evaluates two approaches to early predict the performance of component based software systems. The empirical study is conducted in form of a case study, although attempts are made to achieve a good generalizability. The results attest the CB-SPE technique a good applicability, although some problems occured. The Palladio technique has less good results. Here, there have been problems with the specification of the distribution functions.},
  author = {Martens, Anne},
  howpublished = {Carl-von-Ossietzky Universit{\"a}t Oldenburg},
  keywords = {Empirical methods},
  month = {August},
  note = {individual project thesis (similar to a Bachelor's thesis)},
  pdf = {http://sdqweb.ipd.kit.edu/publications/pdfs/martens2005a.pdf},
  title = {{E}mpirical {V}alidation and {C}omparison of the {M}odel-{D}riven {P}erformance {P}rediction {T}echniques of {CB}-{SPE} and {P}alladio},
  type = {study thesis},
  year = {2005}
}