article_brosch.bib

@article{brosch2011b,
  abstract = {With the increasing importance of reliability in business and industrial software systems, new techniques of architecture-based reliability engineering are becoming an integral part of the development process. These techniques can assist system architects in evaluating the reliability impact of their design decisions. Architecture-based reliability engineering is only effective if the involved reliability models reflect the interaction and usage of software components and their deployment to potentially unreliable hardware. However, existing approaches either neglect individual impact factors on reliability or hard-code them into formal models, which limits their applicability in component-based development processes. This paper introduces a reliability modelling and prediction technique that considers the relevant architectural factors of software systems by explicitly modelling the system usage profile and execution environment and automatically deriving component usage profiles. The technique offers a UML-like modelling notation, whose models are automatically transformed into a formal analytical model. Our work builds upon the Palladio Component Model, employing novel techniques of information propagation and reliability assessment. We validate our technique with sensitivity analyses and simulation in two case studies. The case studies demonstrate effective support of usage profile analysis and architectural configuration ranking, together with the employment of reliability-improving architecture tactics.},
  author = {Franz Brosch and Heiko Koziolek and Barbora Buhnova and Ralf Reussner},
  doi = {10.1109/TSE.2011.94},
  journal = {IEEE Transactions on Software Engineering},
  publisher = {{IEEE Computer Society}},
  title = {Architecture-based Reliability Prediction with the Palladio Component Model},
  volume = {38},
  number = {6},
  pages = {1319-1339},
  year = {2012},
  issn = {0098-5589},
  month = {November},
  keywords = {Unified Modeling Language;object-oriented programming;software architecture;software reliability;UML like modeling notation;architectural configuration ranking;architecture based reliability engineering;architecture based reliability prediction;architecture tactics;assist system architects;component based development process;component usage profiles;execution environment;formal analytical model;industrial software system;information propagation;palladio component model;reliability assessment;reliability impact;reliability modeling;sensitivity analysis;software component;system usage profile;usage profile analysis;Design methodology;Markov processes;Phase change materials;Software architecture;Software quality;Software reliability;Unified modeling language;Software architectures;design tools and techniques;quality analysis and evaluation;reliability}
}