Towards a network ecology of software ecosystems: an analysis of two OSGi ecosystems
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Towards a network ecology of software ecosystems : an analysis of two OSGi ecosystems. / Hansen, Klaus Marius; Manikas, Konstantinos.
The 25th International Conference on Software Engineering & Knowledge Engineering SEKE 2013: proceedings. Knowledge Systems Institute Graduate School, 2013. p. 326-331 (Proceedings of the International Conference on Software Engineering and Knowledge Engineering, Vol. 2013).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Towards a network ecology of software ecosystems
T2 - The 25th International Conference on Software Engineering and Knowledge Engineering (SEKE)
AU - Hansen, Klaus Marius
AU - Manikas, Konstantinos
N1 - Conference code: 25
PY - 2013
Y1 - 2013
N2 - "Software ecosystems'' are gaining importance in commercial software development; the iPhone iOS and Salesforce.com ecosystems are examples of this. In contrast to traditional forms of software reuse, such as common platforms or product lines, software ecosystems have a heterogeneous set of actors sharing and collaborating over one or more technological platforms and business model(s) that serve the actors. However, little research has investigated the properties of actual software ecosystems.In this paper, we present an exploratory study of software ecosystems using the formalizations and metrics of the "network ecology'' approach to the analysis of natural ecosystems. In doing so, we mine the Maven central Java repository and analyze two OSGi ecosystems: Apache Felix and Eclipse Equinox. In particular, we define the concept of an ecosystem ``neighborhood'', apply network ecology metrics to these neighborhoods (including a keystone index that identifies the importance of elements in the ecosystem), and compare the ecosystems.
AB - "Software ecosystems'' are gaining importance in commercial software development; the iPhone iOS and Salesforce.com ecosystems are examples of this. In contrast to traditional forms of software reuse, such as common platforms or product lines, software ecosystems have a heterogeneous set of actors sharing and collaborating over one or more technological platforms and business model(s) that serve the actors. However, little research has investigated the properties of actual software ecosystems.In this paper, we present an exploratory study of software ecosystems using the formalizations and metrics of the "network ecology'' approach to the analysis of natural ecosystems. In doing so, we mine the Maven central Java repository and analyze two OSGi ecosystems: Apache Felix and Eclipse Equinox. In particular, we define the concept of an ecosystem ``neighborhood'', apply network ecology metrics to these neighborhoods (including a keystone index that identifies the importance of elements in the ecosystem), and compare the ecosystems.
KW - Faculty of Science
KW - software ecosystems
KW - dependency structure
KW - dependency graphs
KW - network ecology
M3 - Article in proceedings
SN - 978-1-891706-33-2
T3 - Proceedings of the International Conference on Software Engineering and Knowledge Engineering
SP - 326
EP - 331
BT - The 25th International Conference on Software Engineering & Knowledge Engineering SEKE 2013
PB - Knowledge Systems Institute Graduate School
Y2 - 27 June 2013 through 29 June 2013
ER -
ID: 120839340