Towards system analysis with variability model metrics

Thorsten Berger; Jianmei Guo

doi:10.1145/2556624.2556641

Towards system analysis with variability model metrics

Thorsten Berger
, Jianmei Guo

University of Waterloo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Variability models are central artifacts in highly configurable systems. They aim at planning, developing, and configuring systems by describing configuration knowledge at different levels of formality. The existence of large models using a variety of modeling concepts in heterogeneous languages with intricate semantics calls for a unified measuring approach. In this position paper, we attempt to take a first step towards such a measurement. We discuss perspectives of metrics, define low-level measurement goals, and conceive and implement metrics based on variability modeling concepts found in real-world languages and models. An evaluation of these metrics with real-world models and codebases provides insight into the benefits of such metrics for the defined perspectives.

Original language	English
Title of host publication	Proceedings of the 8th International Workshop on Variability Modelling of Software-Intensive Systems, VaMoS 2014
DOIs	https://doi.org/10.1145/2556624.2556641
State	Published - 2014
Externally published	Yes
Event	8th International Workshop on Variability Modelling of Software-Intensive Systems, VaMoS 2014 - Nice, France Duration: 22 Jan 2014 → 24 Jan 2014

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	8th International Workshop on Variability Modelling of Software-Intensive Systems, VaMoS 2014
Country/Territory	France
City	Nice
Period	22/01/14 → 24/01/14

Keywords

empirical software engineering
feature modeling
metrics
software product lines
variability modeling

Access to Document

10.1145/2556624.2556641

Cite this

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title = "Towards system analysis with variability model metrics",

abstract = "Variability models are central artifacts in highly configurable systems. They aim at planning, developing, and configuring systems by describing configuration knowledge at different levels of formality. The existence of large models using a variety of modeling concepts in heterogeneous languages with intricate semantics calls for a unified measuring approach. In this position paper, we attempt to take a first step towards such a measurement. We discuss perspectives of metrics, define low-level measurement goals, and conceive and implement metrics based on variability modeling concepts found in real-world languages and models. An evaluation of these metrics with real-world models and codebases provides insight into the benefits of such metrics for the defined perspectives.",

keywords = "empirical software engineering, feature modeling, metrics, software product lines, variability modeling",

author = "Thorsten Berger and Jianmei Guo",

year = "2014",

doi = "10.1145/2556624.2556641",

language = "英语",

isbn = "9781450325561",

series = "ACM International Conference Proceeding Series",

booktitle = "Proceedings of the 8th International Workshop on Variability Modelling of Software-Intensive Systems, VaMoS 2014",

note = "8th International Workshop on Variability Modelling of Software-Intensive Systems, VaMoS 2014 ; Conference date: 22-01-2014 Through 24-01-2014",

}

Berger, T & Guo, J 2014, Towards system analysis with variability model metrics. in Proceedings of the 8th International Workshop on Variability Modelling of Software-Intensive Systems, VaMoS 2014. ACM International Conference Proceeding Series, 8th International Workshop on Variability Modelling of Software-Intensive Systems, VaMoS 2014, Nice, France, 22/01/14. https://doi.org/10.1145/2556624.2556641

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AU - Berger, Thorsten

AU - Guo, Jianmei

PY - 2014

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AB - Variability models are central artifacts in highly configurable systems. They aim at planning, developing, and configuring systems by describing configuration knowledge at different levels of formality. The existence of large models using a variety of modeling concepts in heterogeneous languages with intricate semantics calls for a unified measuring approach. In this position paper, we attempt to take a first step towards such a measurement. We discuss perspectives of metrics, define low-level measurement goals, and conceive and implement metrics based on variability modeling concepts found in real-world languages and models. An evaluation of these metrics with real-world models and codebases provides insight into the benefits of such metrics for the defined perspectives.

KW - empirical software engineering

KW - feature modeling

KW - metrics

KW - software product lines

KW - variability modeling

UR - https://www.scopus.com/pages/publications/84897660283

U2 - 10.1145/2556624.2556641

DO - 10.1145/2556624.2556641

M3 - 会议稿件

AN - SCOPUS:84897660283

SN - 9781450325561

T3 - ACM International Conference Proceeding Series

BT - Proceedings of the 8th International Workshop on Variability Modelling of Software-Intensive Systems, VaMoS 2014

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Y2 - 22 January 2014 through 24 January 2014

ER -

Towards system analysis with variability model metrics

Abstract

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Keywords

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