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Towards comprehensive experience-based decision support

Jedlitschka, Andreas and Pfahl, Dietmar LU (2004) 11th European Conference, EuroSPI 2004 In Software process improvement / Lecture notes in computer science 3281. p.34-45
Abstract
In today’s software development organizations, methods and tools are employed that frequently lack sufficient evidence regarding their suitability, limits, qualities, costs, and associated risks. The need to select the best-suited method, technique or tool in a given business context is becoming more and more important. From a business perspective the trade-off between time-to-market, quality, and cost is a crucial factor for the decision process. While new findings from research await their transfer into industrial practice, systematic assessment, selection and infusion of these findings with regard to business objectives and context is lacking. This paper presents ongoing research towards the development of a decision support system that... (More)
In today’s software development organizations, methods and tools are employed that frequently lack sufficient evidence regarding their suitability, limits, qualities, costs, and associated risks. The need to select the best-suited method, technique or tool in a given business context is becoming more and more important. From a business perspective the trade-off between time-to-market, quality, and cost is a crucial factor for the decision process. While new findings from research await their transfer into industrial practice, systematic assessment, selection and infusion of these findings with regard to business objectives and context is lacking. This paper presents ongoing research towards the development of a decision support system that aims at improving software engineering technology selection by software managers with regard to business goals. The focus of this paper is on presenting the problems at hand, the idea for a comprehensive decision support, and discussing the results of the requirements analysis process. (Less)
Please use this url to cite or link to this publication:
author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Software process improvement / Lecture notes in computer science
volume
3281
pages
34 - 45
publisher
Springer
conference name
11th European Conference, EuroSPI 2004
external identifiers
  • scopus:35048898061
ISSN
1611-3349
0302-9743
ISBN
3-540-23725-9
DOI
10.1007/978-3-540-30181-3_4
language
English
LU publication?
no
id
bef35c80-16bf-45a0-9842-feb58deacbc1 (old id 1669840)
date added to LUP
2010-09-13 12:52:44
date last changed
2017-07-30 03:35:32
@inproceedings{bef35c80-16bf-45a0-9842-feb58deacbc1,
  abstract     = {In today’s software development organizations, methods and tools are employed that frequently lack sufficient evidence regarding their suitability, limits, qualities, costs, and associated risks. The need to select the best-suited method, technique or tool in a given business context is becoming more and more important. From a business perspective the trade-off between time-to-market, quality, and cost is a crucial factor for the decision process. While new findings from research await their transfer into industrial practice, systematic assessment, selection and infusion of these findings with regard to business objectives and context is lacking. This paper presents ongoing research towards the development of a decision support system that aims at improving software engineering technology selection by software managers with regard to business goals. The focus of this paper is on presenting the problems at hand, the idea for a comprehensive decision support, and discussing the results of the requirements analysis process.},
  author       = {Jedlitschka, Andreas and Pfahl, Dietmar},
  booktitle    = {Software process improvement / Lecture notes in computer science},
  isbn         = {3-540-23725-9},
  issn         = {1611-3349},
  language     = {eng},
  pages        = {34--45},
  publisher    = {Springer},
  title        = {Towards comprehensive experience-based decision support},
  url          = {http://dx.doi.org/10.1007/978-3-540-30181-3_4},
  volume       = {3281},
  year         = {2004},
}