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Chapitre D'ouvrage Année : 2019

FAME: An Influencer Model for Service-Oriented Environments

Résumé

We propose FAME (inFluencer Apis in developer coMmunitiEs), a multi-dimensional influencer model for APIs in service-oriented environments. We define influence as the extent to which an API is likely to be adopted in mashups and service-oriented applications. The proposed model helps providers increase the visibility of their APIs and developers select the best-in-class APIs. We extract more than eighteen textual and non-textual API features from various programming communities such as GitHub, StackOverflow, HackerNews, and ProgrammableWeb. We perform sentiment analysis to quantify developers’ opinions towards using APIs. We introduce a cumulative API influence score to measure the influence of APIs across communities and categorize APIs into tiers based on their influence. We introduce a linear regression technique to predict the evolution of influence scores and correlate API features to those scores. We conduct experiments on large and real-world data-sets extracted from the above mentioned programming communities to illustrate the viability of our approach.
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Dates et versions

hal-02390506 , version 1 (03-12-2019)

Identifiants

Citer

Faisal Binzagr, Hamza Labbaci, Brahim Medjahed. FAME: An Influencer Model for Service-Oriented Environments. In: Yangui S., Bouassida Rodriguez I., Drira K., Tari Z. (eds) Service-Oriented Computing. ICSOC 2019. Lecture Notes in Computer Science, vol 11895. Springer, Cham, pp.216-230, 2019, ⟨10.1007/978-3-030-33702-5_16⟩. ⟨hal-02390506⟩
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