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Experience-based model-driven improvement management with combined data sources from industry and academia

Jedlitschka, Andreas and Pfahl, Dietmar LU (2003) ISESE 2003 - International Symposium on Empirical Software Engineering In [Host publication title missing] p.154-161
Abstract
Experience-based improvement using various modelling techniques is an important issue in software engineering. Many approaches have been proposed and applied in both industry and academia, e.g., case studies, pilot projects, controlled experiments, assessments, expert opinion polls, experience bases, goal-oriented measurement, process modelling, statistical modelling, data mining, and simulation. Although these approaches can be combined and organized according to the principles of the Quality Improvement Paradigm (QIP) and the associated Experience Factory (EF) concepts. there are serious problems with: a) effective and efficient integration of the various approaches; and, b) the exchange of experience and data between industry and... (More)
Experience-based improvement using various modelling techniques is an important issue in software engineering. Many approaches have been proposed and applied in both industry and academia, e.g., case studies, pilot projects, controlled experiments, assessments, expert opinion polls, experience bases, goal-oriented measurement, process modelling, statistical modelling, data mining, and simulation. Although these approaches can be combined and organized according to the principles of the Quality Improvement Paradigm (QIP) and the associated Experience Factory (EF) concepts. there are serious problems with: a) effective and efficient integration of the various approaches; and, b) the exchange of experience and data between industry and academia. In particular the second problem strongly limits opportunities for joint research efforts and cross-organizational synergy. Based upon lessons learned from large-scale European joint research initiatives involving both industry and academia, this paper proposes the vision of all integrated software process improvement framework, that facilitates solutions to the problems mentioned above. (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
keywords
model-driven improvement, improvement management, industry data, experience-based improvement, software
in
[Host publication title missing]
pages
154 - 161
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
ISESE 2003 - International Symposium on Empirical Software Engineering
external identifiers
  • Scopus:11244287944
ISBN
0-7695-2002-2
DOI
10.1109/ISESE.2003.1237974
language
English
LU publication?
no
id
f9c71f11-ddda-4de6-907d-9cf8b8b6492b (old id 1662028)
date added to LUP
2010-10-12 13:51:41
date last changed
2016-10-13 04:51:07
@misc{f9c71f11-ddda-4de6-907d-9cf8b8b6492b,
  abstract     = {Experience-based improvement using various modelling techniques is an important issue in software engineering. Many approaches have been proposed and applied in both industry and academia, e.g., case studies, pilot projects, controlled experiments, assessments, expert opinion polls, experience bases, goal-oriented measurement, process modelling, statistical modelling, data mining, and simulation. Although these approaches can be combined and organized according to the principles of the Quality Improvement Paradigm (QIP) and the associated Experience Factory (EF) concepts. there are serious problems with: a) effective and efficient integration of the various approaches; and, b) the exchange of experience and data between industry and academia. In particular the second problem strongly limits opportunities for joint research efforts and cross-organizational synergy. Based upon lessons learned from large-scale European joint research initiatives involving both industry and academia, this paper proposes the vision of all integrated software process improvement framework, that facilitates solutions to the problems mentioned above.},
  author       = {Jedlitschka, Andreas and Pfahl, Dietmar},
  isbn         = {0-7695-2002-2},
  keyword      = {model-driven improvement,improvement management,industry data,experience-based improvement,software},
  language     = {eng},
  pages        = {154--161},
  publisher    = {ARRAY(0xaba62d0)},
  series       = {[Host publication title missing]},
  title        = {Experience-based model-driven improvement management with combined data sources from industry and academia},
  url          = {http://dx.doi.org/10.1109/ISESE.2003.1237974},
  year         = {2003},
}