Automated and non-intrusive provenance capture with UML2PROV

Abstract Data provenance is a form of knowledge graph providing an account what system performs, describing the data involved, and processes carried out over them. It crucial to ascertaining origin data, validating their quality, auditing applications behaviours, and, ultimately, making them accountable. However, instrumenting applications, especially legacy ones, track operations remains significant technical hurdle, hindering adoption technology. UML2PROV software-engineering methodology that facilitates instrumentation recording in designed with UML diagrams. automates generation (1) templates for be recorded (2) code capture values required instantiate those from application at run time, both application’s By so doing, frees developers manual capturing while ensuring quality provenance. In this paper, we present detail UML2PROV’s approach generating via means Bindings Generation Module (BGM). particular, propose set requirements BGM implementations describe event-based design relies on Aspect-Oriented Programming (AOP) paradigm automatically weave generated into application. Finally, three different following above analyze pros cons terms computing/storage overheads implications consumers.