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Validating Quality of Service for Reusable Software Via Model-Integrated Distributed Continuous Quality Assurance

  • Arvind S. Krishna
  • Douglas C. Schmidt
  • Atif Memon
  • Adam Porter
  • Diego Sevilla
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3107)

Abstract

Quality assurance (QA) tasks, such as testing, profiling, and performance evaluation, have historically been done in-house on developer-generated workloads and regression suites. Performance-intensive systems software, such as that found in the scientific computing grid and distributed real-time and embedded (DRE) domains, increasingly run on heterogeneous combinations of OS, compiler, and hardware platforms. Such software has stringent quality of service (QoS) requirements and often provides a variety of configuration options to optimize QoS. As a result, QA performed solely in-house is inadequate since it is hard to manage software variability, i.e., ensuring software quality on all supported target platforms across all desired configuration options. This paper describes how the Skoll project is addressing these issues by developing advanced QA processes and tools that leverage the extensive computing resources of user communities in a distributed, continuous manner to improve key software quality attributes.

Keywords

Model Interpreter Reusable Software Quality Assurance Process Object Request Broker Generic Modeling Environment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Arvind S. Krishna
    • 1
  • Douglas C. Schmidt
    • 1
  • Atif Memon
    • 2
  • Adam Porter
    • 2
  • Diego Sevilla
    • 3
  1. 1.Electrical Engineering & Computer ScienceVanderbilt UniversityUSA
  2. 2.Computer Science DepartmentUniversity of MarylandCollege ParkUSA
  3. 3.Dept. of Computer EngineeringUniversity of MurciaSpain

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