TY - GEN
T1 - An Empirical Study of Web API Quality Formulation
AU - Adeborna, Esi
AU - Fletcher, Kenneth K.
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Factor analysis
KW - Mashup development
KW - Web API
KW - Web API quality
KW - Web API quality factors
UR - https://www.scopus.com/pages/publications/85091580063
UR - https://www.scopus.com/pages/publications/85091580063#tab=citedBy
U2 - 10.1007/978-3-030-59592-0_10
DO - 10.1007/978-3-030-59592-0_10
M3 - Conference contribution
AN - SCOPUS:85091580063
SN - 9783030595913
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 145
EP - 153
BT - Services Computing – SCC 2020 - 17th International Conference, held as part of the Services Conference Federation, SCF 2020, Proceedings
A2 - Wang, Qingyang
A2 - Xia, Yunni
A2 - Seshadri, Sangeetha
A2 - Zhang, Liang-Jie
PB - Springer Science and Business Media Deutschland GmbH
T2 - 17th International Conference on Services Computing, SCC 2020, held as part of the Services Conference Federation, SCF 2020
Y2 - 18 September 2020 through 20 September 2020
ER -