A study of ripple effects in software ecosystems (NIER track)

When the Application Programming Interface (API) of a framework or library changes, its clients must be adapted. This change propagation - known as a ripple effect - is a problem that has garnered interest: several approaches have been proposed in the literature to react to these changes. Although s...

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Veröffentlicht in:2011 33rd International Conference on Software Engineering (ICSE) S. 904 - 907
Hauptverfasser: Robbes, Romain, Lungu, Mircea
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: New York, NY, USA ACM 21.05.2011
IEEE
Schriftenreihe:ACM Conferences
Schlagworte:
Adaptation models
Communities
Data mining
Ecosystems
empirical studies
Kernel
Libraries
mining software repositories
Software and its engineering > Software creation and management > Software post-development issues > Software reverse engineering
software ecosystems
software ecosystems
mining software repositories
empirical studies
ISBN:9781450304450, 1450304451
ISSN:0270-5257
Online-Zugang:Volltext
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Zusammenfassung:When the Application Programming Interface (API) of a framework or library changes, its clients must be adapted. This change propagation - known as a ripple effect - is a problem that has garnered interest: several approaches have been proposed in the literature to react to these changes. Although studies of ripple effects exist at the single system level, no study has been performed on the actual extent and impact of these API changes in practice, on an entire software ecosystem associated with a community of developers. This paper reports on early results of such an empirical study of API changes that led to ripple effects across an entire ecosystem. Our case study subject is the development community gravitating aroung the Squeak and Pharo software ecosystems: six years of evolution, nearly 3,000 contributors, and close to 2,500 distinct systems.
ISBN:9781450304450
1450304451
ISSN:0270-5257
DOI:10.1145/1985793.1985940