Published June 23, 2022 | Version v1.0.0
Software Open

Source code detectors for calculating excessive data exposure in microservice APIs

Authors/Creators

  • 1. University of Vienna, Faculty of Computer Science, Research Group Software Architecture

Description

Python based implementation of source code detectors to calculate excessive data exposure for microservice APIs.
Part of our study "Avoiding Excessive Data Exposure through Microservice APIs", accepted for ECSA 2022

Files

excessive-data-exposure-src.zip

Files (18.0 MB)

Name Size Download all
md5:c4adde084483066c2cfdf0b02531c9fc
18.0 MB Preview Download

Additional details

Funding

FWF Austrian Science Fund
Infrastructure-as-code Architecture Decision Compliance I 4731
European Commission
AssureMOSS - Assurance and certification in secure Multi-party Open Software and Services. 952647
FWF Austrian Science Fund
Analytics-centric Continuous Design of Microservice APIs I 4268