CESEApr 18, 2013

Expressando Atributos Não-Funcionais em Workflows Científicos

arXiv:1304.5099v11 citations
Originality Synthesis-oriented
AI Analysis

This addresses the challenge of managing non-functional attributes in scientific workflows for researchers and practitioners, but it appears incremental as it builds on existing software architecture principles.

The paper tackles the problem of expressing non-functional attributes in scientific workflows by introducing OSC, a specification language based on software architecture principles that uses connectors as first-class constructs, resulting in improved reusability and compositionality in workflow modeling.

In this paper we present OSC, a scientific workflow specification language based on software architecture principles. In contrast with other approaches, OSC employs connectors as first-class constructs. In this way, we leverage reusability and compositionality in the workflow modeling process, specially in the configuration of mechanisms that manage non-functional attributes.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes