GI LogoGI Logo
  • Login
Digital Library
    • All of DSpace

      • Communities & Collections
      • Titles
      • Authors
      • By Issue Date
      • Subjects
    • This Collection

      • Titles
      • Authors
      • By Issue Date
      • Subjects
Digital Library Gesellschaft für Informatik e.V.
GI-DL
    • English
    • Deutsch
  • English 
    • English
    • Deutsch
View Item 
  •   DSpace Home
  • Lecture Notes in Informatics
  • Proceedings
  • Software Engineering and Software Management
  • P239 - Software Engineering & Management 2015
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
  •   DSpace Home
  • Lecture Notes in Informatics
  • Proceedings
  • Software Engineering and Software Management
  • P239 - Software Engineering & Management 2015
  • View Item

Advances in quantitative software product line analysis

Author:
Dubslaff, Clemens [DBLP]
Abstract
The quantitative analysis of software is important, e.g., for energy-aware systems having constraints on energy consumption while guaranteeing a certain degree of utility. Analyzing software product lines is challenging due to the possibly exponential number of feature combinations. This paper sketches new approaches using probabilistic model checking for a quantitative analysis of software product lines and the integration of such into the software development process.
  • Citation
  • BibTeX
Dubslaff, C., (2015). Advances in quantitative software product line analysis. In: Aßmann, U., Demuth, B., Spitta, T., Püschel, G. & Kaiser, R. (Hrsg.), Software-engineering and management 2015. Bonn: Gesellschaft für Informatik e.V.. (S. 59-60).
@inproceedings{mci/Dubslaff2015,
author = {Dubslaff, Clemens},
title = {Advances in quantitative software product line analysis},
booktitle = {Software-engineering and management 2015},
year = {2015},
editor = {Aßmann, Uwe AND Demuth, Birgit AND Spitta, Thorsten AND Püschel, Georg AND Kaiser, Ronny} ,
pages = { 59-60 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
DateienGroesseFormatAnzeige
59.pdf35.11Kb PDF View/Open

Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Send Feedback

More Info

ISBN: 978-3-88579-633-6
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2015
Language: en (en)
Content Type: Text/Conference Paper
Collections
  • P239 - Software Engineering & Management 2015 [114]

Show full item record


About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.

 

 


About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.