Mining accurate message formats for service APIs

Md Arafat Hossain, Steve Versteeg, Jun Han, Ashad Kabir, Jiaojiao Jiang, Jean-Guy Schneider

Research output: Book chapter/Published conference paperConference paper

6 Citations (Scopus)

Abstract

APIs play a significant role in the sharing, utilization and integration of information and service assets for enterprises, delivering significant business value. However, the documentation of service APIs can often be incomplete, ambiguous, or even non-existent, hindering API-based application development efforts. In this paper, we introduce an approach to automatically mine the fine-grained message formats required in defining the APIs of services and applications from their interaction traces, without assuming any prior knowledge. Our approach includes three major steps with corresponding techniques: (1) classifying the interaction messages of a service into clusters corresponding to message types, (2) identifying the keywords of messages in each cluster, and (3) extracting the format of each message type. We have applied our approach to network traces collected from four real services which used the following application protocols: REST, SOAP, LDAP and SIP. The results show that our approach achieves much greater accuracy in extracting message formats for service APIs than current state-of-art approaches.
Original languageEnglish
Title of host publicationIEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER)
PublisherIEEE Xplore
Pages266-276
ISBN (Electronic)9781538649695
ISBN (Print)9781538649701
DOIs
Publication statusPublished - 05 Apr 2018
Event25th IEEE International Conference on Software Analysis, Evolution and Reengineering: SANER 2018 - University of Molise , Campobasso, Italy
Duration: 20 Mar 201823 Mar 2018
http://saner.unimol.it/index
https://ieeexplore.ieee.org/xpl/conhome/8326467/proceeding (proceedings)

Conference

Conference25th IEEE International Conference on Software Analysis, Evolution and Reengineering
CountryItaly
CityCampobasso
Period20/03/1823/03/18
Internet address

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  • Cite this

    Hossain, M. A., Versteeg, S., Han, J., Kabir, A., Jiang, J., & Schneider, J-G. (2018). Mining accurate message formats for service APIs. In IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER) (pp. 266-276). IEEE Xplore. https://doi.org/10.1109/SANER.2018.8330215