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International Conference on Services Computing

SCC 2020: Services Computing – SCC 2020 pp 145–153Cite as

An Empirical Study of Web API Quality Formulation

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12409))

Abstract

This paper presents an empirical study on one of the most popular web API repositories, www.programmableweb.com. The study is to ascertain the impact of the structure and formulation of external web API quality factors on the overall web API quality. The study is based on the hypothesis that, in such a multi-factor quality measurement, the structure and formulation of the quality factors can make a substantial difference in its quantification. Specifically, we employ statistical tools such as exploratory factor analysis, to determine the latent factors that contributes to web API quality. We subsequently determine the loading of each latent factors to propose a new quality model for web API quality computation.

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Author information

Authors and Affiliations

  1. University of Massachusetts Lowell, Lowell, MA, 01854, USA

    Esi Adeborna

  2. University of Massachusetts Boston, Boston, MA, 02125, USA

    Kenneth K. Fletcher

Authors
  1. Esi Adeborna
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  2. Kenneth K. Fletcher
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Corresponding author

Correspondence to Kenneth K. Fletcher .

Editor information

Editors and Affiliations

  1. Louisana State University, Baton Rouge, LA, USA

    Qingyang Wang

  2. Chongqing University, Chongqing, China

    Yunni Xia

  3. IBM Almaden Research Center, San Jose, CA, USA

    Sangeetha Seshadri

  4. Kingdee International Software Group Co. Ltd., Shenzhen, China

    Liang-Jie Zhang

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Adeborna, E., Fletcher, K.K. (2020). An Empirical Study of Web API Quality Formulation. In: Wang, Q., Xia, Y., Seshadri, S., Zhang, LJ. (eds) Services Computing – SCC 2020. SCC 2020. Lecture Notes in Computer Science(), vol 12409. Springer, Cham. https://doi.org/10.1007/978-3-030-59592-0_10

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  • DOI: https://doi.org/10.1007/978-3-030-59592-0_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59591-3

  • Online ISBN: 978-3-030-59592-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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