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Development of flexible software process lines with variability operations: A longitudinal case study

Autor(en):
Schramm, Joachim [DBLP] ;
Dohrmann, Patrick [DBLP] ;
Kuhrmann, Marco [DBLP]
Zusammenfassung
Context: A software process line helps to systematically develop and manage families of processes and, as part of this, variability operations provide means to modify and reuse predefined process assets. Objective: Our goal is to evaluate the feasibility of variability operations to support the development of flexible software process lines. Method: We conducted a longitudinal study in which we studied 5 variants of the V-Modell XT process line for 2 years. Results: Our results show the variability operation instrument feasible in practice. We analyzed 616 operation exemplars addressing various customization scenarios, and we found 87 different operation types. Conclusions: Although variability operations are only one instrument among others, our results suggest this instrument useful to implement variability in real-life software process lines. This summary refers to the paper Development of Flexible Software Process Lines with Variability Operations: A Longitudinal Case Study [Do15]. This paper was published as full research paper in the EASE'2015 proceedings.
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Schramm, J., Dohrmann, P. & Kuhrmann, M., (2016). Development of flexible software process lines with variability operations: A longitudinal case study. In: Knoop, J. & Zdun, U. (Hrsg.), Software Engineering 2016. Bonn: Gesellschaft für Informatik e.V.. (S. 111-112).
@inproceedings{mci/Schramm2016,
author = {Schramm, Joachim AND Dohrmann, Patrick AND Kuhrmann, Marco},
title = {Development of flexible software process lines with variability operations: A longitudinal case study},
booktitle = {Software Engineering 2016},
year = {2016},
editor = {Knoop, Jens AND Zdun, Uwe} ,
pages = { 111-112 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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Mehr Information

ISBN: 978-3-88579-646-6
ISSN: 1617-5468
Datum: 2016
Sprache: en (en)
Typ: Text/Conference Paper
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  • P252 - Software Engineering 2016 [58]

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Über uns | FAQ | Hilfe | Impressum | Datenschutz

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