Web API Usability: A Systematic Mapping Study

Abstract Context Web APIs play a key role in modern application development, and their usability is crucial for them to be of value. Aim: This systematic mapping study aims to identify and categorize metrics related to web API usability. Method We identified four research questions and a set of search terms related to these. We applied inclusion, exclusion, and quality criteria to filter out unrelated articles, and then performed data extraction on the remaining studies. Results We found a total of 96 metrics. Most of the usability metrics (40 %) were related to learnability. We also found that only one of the articles proposed metrics in the context of a usability model and that most of the studies obtained values for their metrics automatically. Conclusions Our findings highlight a lack of research in the field of web API usability + metrics, with only 14 % of the metrics we identified being explicitly related to web APIs.

Authors

Institutions

Publication Details

Journal
Interacting with Computers
Published
2024-11-19
DOI
https://doi.org/10.1093/iwc/iwae053
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Web API Usability: A Systematic Mapping Study

Ariel Machini, Sandra Casas
Interacting with Computers
Software Engineering Research
article

Web API Usability: A Systematic Mapping Study

Ariel Machini, Sandra Casas
article en

Abstract

Abstract Context Web APIs play a key role in modern application development, and their usability is crucial for them to be of value. Aim: This systematic mapping study aims to identify and categorize metrics related to web API usability. Method We identified four research questions and a set of search terms related to these. We applied inclusion, exclusion, and quality criteria to filter out unrelated articles, and then performed data extraction on the remaining studies. Results We found a total of 96 metrics. Most of the usability metrics (40 %) were related to learnability. We also found that only one of the articles proposed metrics in the context of a usability model and that most of the studies obtained values for their metrics automatically. Conclusions Our findings highlight a lack of research in the field of web API usability + metrics, with only 14 % of the metrics we identified being explicitly related to web APIs.

Interacting with ComputersVol. 37(2)
Consejo Nacional de Investigaciones Científicas y Técnicas (AR), National University of Austral Patagonia (AR)
Openalex Percentile: Top 68%
Software Engineering Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.