Publication

A top-down strategy to reverse architecting execution views for a large and complex software-intensive system: An experience report

Callo Arias, T. B., Avgeriou, P., America, P., Blom, K. & Bachynskyy, S., 1-Dec-2011, In : Science of computer programming. 76, 12, p. 1098-1112 15 p.

Research output: Contribution to journalArticleAcademic

Copy link to clipboard

Documents

DOI

  • Trosky B. Callo Arias
  • Paris Avgeriou
  • Pierre America
  • Krelis Blom
  • Sergiy Bachynskyy

This article is an experience report about the application of a top-down strategy to use and embed an architecture reconstruction approach in the incremental software development process of the Philips MRI scanner, a representative large and complex software-intensive system. The approach is an iterative process to construct execution views without being overwhelmed by the system size and complexity. An execution view contains architectural information that describes what the software of a software-intensive system does at runtime and how it does this. The application of the strategy is illustrated with a case study, the construction of an up-to-date execution view for the start-up process of the Philips MRI scanner. The construction of this view helped the development organization to quickly reduce about 30% the start-up time of the scanner, and set up a new system benchmark for assuring the system performance through future evolution steps. The report provides detailed information about the application of the top-down strategy, including how it supports top-down analysis, communication within the development organization, and the aspects that influence the use of the top-down strategy in other contexts. (C) 2010 Elsevier B.V. All rights reserved.

Original languageEnglish
Pages (from-to)1098-1112
Number of pages15
JournalScience of computer programming
Volume76
Issue number12
Publication statusPublished - 1-Dec-2011

    Keywords

  • Software-intensive systems, Execution views, Downstream software development, Architecture reconstruction

Download statistics

No data available

ID: 2532349