Experience-based model-driven improvement management with combined data sources from industry and academia
(2003) ISESE 2003 - International Symposium on Empirical Software Engineering 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:
https://lup.lub.lu.se/record/1662028
- author
- Jedlitschka, Andreas and Pfahl, Dietmar LU
- publishing date
- 2003
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- model-driven improvement, improvement management, industry data, experience-based improvement, software
- host publication
- [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
- conference location
- Rome, Italy
- conference dates
- 2003-09-30 - 2003-10-01
- 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
- 2016-04-04 12:22:24
- date last changed
- 2022-01-29 23:19:36
@inproceedings{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}},
booktitle = {{[Host publication title missing]}},
isbn = {{0-7695-2002-2}},
keywords = {{model-driven improvement; improvement management; industry data; experience-based improvement; software}},
language = {{eng}},
pages = {{154--161}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
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}},
doi = {{10.1109/ISESE.2003.1237974}},
year = {{2003}},
}