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Towards scalable information modeling of requirements architectures

Wnuk, Krzysztof LU ; Borg, Markus LU and Assar, Saïd (2012) 1st International Workshop on Modeling for Data-Intensive Computing In Advances in Conceptual Modeling/Lecture Notes in Computer Science 7518. p.141-150
Abstract
The amount of data in large-scale software engineering contexts continues to grow and challenges efficiency of software engineering efforts. At the same time, information related to requirements plays a vital role in the success of software products and projects. To face the current challenges in software engineering information management, software companies need to reconsider the current models of information. In this paper, we present a modeling frame-work for requirements artifacts dedicated to a large-scale market-driven requirements engineering context. The underlying meta-model is grounded in a clear industrial need for improved flexible models for storing requirements engineering information. The presented framework is created in... (More)
The amount of data in large-scale software engineering contexts continues to grow and challenges efficiency of software engineering efforts. At the same time, information related to requirements plays a vital role in the success of software products and projects. To face the current challenges in software engineering information management, software companies need to reconsider the current models of information. In this paper, we present a modeling frame-work for requirements artifacts dedicated to a large-scale market-driven requirements engineering context. The underlying meta-model is grounded in a clear industrial need for improved flexible models for storing requirements engineering information. The presented framework is created in collaboration with industry and initially evaluated by industry practitioners from three large companies. Participants of the evaluation positively evaluated the presented modeling framework as well as pointed out directions for further research and improvements. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Large-scale requirements engineering, requirements architectures, empirical study, requirements modeling
in
Advances in Conceptual Modeling/Lecture Notes in Computer Science
volume
7518
pages
10 pages
publisher
Springer
conference name
1st International Workshop on Modeling for Data-Intensive Computing
external identifiers
  • Scopus:84868308599
ISBN
978-3-642-33998-1
DOI
10.1007/978-3-642-33999-8_17
project
EASE
language
English
LU publication?
yes
id
047dbf6c-7f17-4f56-8d81-41fad5328902 (old id 3132345)
date added to LUP
2012-10-25 17:17:09
date last changed
2016-10-13 04:44:18
@misc{047dbf6c-7f17-4f56-8d81-41fad5328902,
  abstract     = {The amount of data in large-scale software engineering contexts continues to grow and challenges efficiency of software engineering efforts. At the same time, information related to requirements plays a vital role in the success of software products and projects. To face the current challenges in software engineering information management, software companies need to reconsider the current models of information. In this paper, we present a modeling frame-work for requirements artifacts dedicated to a large-scale market-driven requirements engineering context. The underlying meta-model is grounded in a clear industrial need for improved flexible models for storing requirements engineering information. The presented framework is created in collaboration with industry and initially evaluated by industry practitioners from three large companies. Participants of the evaluation positively evaluated the presented modeling framework as well as pointed out directions for further research and improvements.},
  author       = {Wnuk, Krzysztof and Borg, Markus and Assar, Saïd},
  isbn         = {978-3-642-33998-1},
  keyword      = {Large-scale requirements engineering,requirements architectures,empirical study,requirements modeling},
  language     = {eng},
  pages        = {141--150},
  publisher    = {ARRAY(0x942c7f8)},
  series       = {Advances in Conceptual Modeling/Lecture Notes in Computer Science},
  title        = {Towards scalable information modeling of requirements architectures},
  url          = {http://dx.doi.org/10.1007/978-3-642-33999-8_17},
  volume       = {7518},
  year         = {2012},
}