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Automated provenance graphs for models@run.time

https://doi.org/10.1145/3417990.3419503

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-08915-7_3openalex-snapshot

Living with Uncertainty in the Age of Runtime Models

inferredcites →https://doi.org/10.1007/978-3-540-24769-2_15openalex-snapshot

Using Architectural Models at Runtime: Research Challenges

inferredcites →https://doi.org/10.1007/978-3-642-30436-1_9openalex-snapshot

Towards a Universal Data Provenance Framework Using Dynamic Instrumentation

inferredcites →https://doi.org/10.1007/978-3-642-30982-3_10openalex-snapshot

An Introduction to Model Versioning

inferredcites →https://doi.org/10.1007/978-3-662-44871-7_5openalex-snapshot

Self-Explanation in Adaptive Systems Based on Runtime Goal-Based Models

inferredcites →https://doi.org/10.1007/s00778-017-0486-1openalex-snapshot

A survey on provenance: What for? What form? What from?

inferredcites →https://doi.org/10.1007/s10115-018-1164-3openalex-snapshot

A systematic review of provenance systems

inferredcites →https://doi.org/10.1007/s10270-018-00712-xopenalex-snapshot

Models@run.time: a guided tour of the state of the art and research challenges

inferredcites →https://doi.org/10.1016/j.future.2010.07.005openalex-snapshot

The Open Provenance Model core specification (v1.1)

inferredcites →https://doi.org/10.1109/dsd.2016.42openalex-snapshot

Verifying Linear Temporal Logic Properties in UML/OCL Class Diagrams Using Filmstripping

inferredcites →https://doi.org/10.1109/icse.2009.5070514openalex-snapshot

Taming Dynamically Adaptive Systems using models and aspects

inferredcites →https://doi.org/10.1109/mc.2009.326openalex-snapshot

Models@ run.time

inferredcites →https://doi.org/10.1109/models.2019.000-2openalex-snapshot

Querying and Annotating Model Histories with Time-Aware Patterns

inferredcites →https://doi.org/10.1109/models.2019.00005openalex-snapshot

RaM: Causally-Connected and Requirements-Aware Runtime Models using Bayesian Learning

inferredcites →https://doi.org/10.1109/ms.2003.1231147openalex-snapshot

What models mean

inferredcites →https://doi.org/10.1109/re.2010.21openalex-snapshot

Requirements-Aware Systems: A Research Agenda for RE for Self-adaptive Systems

inferredcites →https://doi.org/10.1109/sbgames.2017.00016openalex-snapshot

Capturing Game Telemetry with Provenance

inferredcites →https://doi.org/10.1109/seams.2015.10openalex-snapshot

Modeling and Analyzing MAPE-K Feedback Loops for Self-Adaptation

inferredcites →https://doi.org/10.1145/1810295.1810329openalex-snapshot

Requirements reflection

inferredcites →https://doi.org/10.1145/2997364.2997380openalex-snapshot

Experiences of models@run-time with EMF and CDO

inferredcites →https://doi.org/10.18293/seke2017-048openalex-snapshot

Analyzing Complex Data in Motion at Scale with Temporal Graphs

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4029618openalex-extracted

inferred← citeshttps://doi.org/10.1007/978-3-031-57327-9_7openalex-snapshot

What Impact Do My Preferences Have?

inferred← citeshttps://doi.org/10.1016/j.infsof.2021.106694openalex-snapshot

Cronista: A multi-database automated provenance collection system for runtime-models

inferred← citeshttps://doi.org/10.1016/j.jss.2022.111538openalex-snapshot

Explaining Quality Attribute Tradeoffs in Automated Planning for Self-Adaptive Systems

inferred← citeshttps://doi.org/10.1109/acsos55765.2022.00023openalex-snapshot

Explaining Online Reinforcement Learning Decisions of Self-Adaptive Systems

inferred← citeshttps://doi.org/10.1109/models-c53483.2021.00127openalex-snapshot

From a Series of (Un)fortunate Events to Global Explainability of Runtime Model-Based Self-Adaptive Systems

inferred← citeshttps://doi.org/10.1145/3419804.3420262openalex-snapshot

Towards automated provenance collection for runtime models to record system history

inferred← citeshttps://doi.org/10.1145/3524844.3528054openalex-snapshot

Extending MAPE-K to support human-machine teaming

inferred← citeshttps://doi.org/10.1145/3618001openalex-snapshot

Human–machine Teaming with Small Unmanned Aerial Systems in a MAPE-K Environment

inferred← citeshttps://doi.org/10.1145/3666005openalex-snapshot

A User Study on Explainable Online Reinforcement Learning for Adaptive Systems

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