Towards the Support of Contextual Information to a Measurement and Evaluation Framework

Weber, Kival Chaves; Araujo, Ertostenes Edson Ramalho de; Scaler, D.; Andrade, Elzimar; Rocha, Ana Regina; Montoni, Mariano

doi:10.1109/quatic.2007.21

Cited by 21 publications

(21 citation statements)

References 7 publications

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“…C-INCAMI is a conceptual framework [7], [8], which defines the concepts and their related components for the M&E area in software organizations. It provides a domain (ontological) model defining all the terms [5], properties, and relationships needed to design and implement M&E processes.…”

Section: The Original Measurement and Evaluation Conceptual Frameworkmentioning

confidence: 99%

“…We consider Context as a special kind of Entity in which related relevant entities are involved. To describe the context, attributes of the relevant entities are used -which are also Attributes called Context Properties (See [8] for details).…”

Section: The Original Measurement and Evaluation Conceptual Frameworkmentioning

confidence: 99%

“…The first version of C-INCAMI/MIS [6] is based on the original version of C-INCAMI [7], [8]. From the introduced changes in the section 2.3., we managed to update the measurement interchange schema for supporting the quantitative measures (deterministic or estimated) and complementary data jointly.…”

Section: The Updated Measurement Interchange Schemamentioning

confidence: 99%

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Towards a Consistent Measurement Stream Processing from Heterogeneous Data Sources

Diván¹,

Martín²

2017

IJECE

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In this work an updating of the C-INCAMI (Context-Information Need, Concept model, Attribute, Metric and Indicator) conceptual framework for Measurement and Evaluation projects was proposed. The updating incorporated better supporting for the measures stream processing. Therefore, a new version of the measurement interchange schema based on the updated C-INCAMI framework was introduced. This new schema incorporated the concept of "complementary data" linking them with geographic information. The complementary data could be associated with the measures and allowed us incorporating video, geographic information, text plain, audio or pictures with the quantitative measures (deterministic or estimated) jointly. A practical case associated with the Weather Radar of the Experimental Agricultural Station (EAS) INTA Anguil (Province of La Pampa, Argentina) was shown, indicating the advantages of the new schema.

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Section: The Original Measurement and Evaluation Conceptual Frameworkmentioning

confidence: 99%

Section: The Original Measurement and Evaluation Conceptual Frameworkmentioning

confidence: 99%

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Towards a Consistent Measurement Stream Processing from Heterogeneous Data Sources

Diván¹,

Martín²

2017

IJECE

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“…C-INCAMI is a conceptual framework [12], which defines the concepts and their related components for the M&E area in software organizations. It is an approach in which the requirements specification, M&E, and analysis of results are performed for satisfying a specific information need in a given context.…”

Section: C-incami Overviewmentioning

confidence: 99%

Applications of Case Based Organizational Memory Supported by the PAbMM Architecture

Martín¹,

Diván²

2017

Adv. sci. technol. eng. syst. j.

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“…It is supported by an M&E framework called C-INCAMI (Context-Information Need, Concept Model, Attribute, Metric and Indicator) [3], [4] which fosters the repeatability, comparability, extensibility and consistence associated with the measurement process. Each M&E project is defined through of GOCAME (Goal Oriented Context-Aware Measurement and Evaluation) strategy [5], using the concepts and relationships defined in C-INCAMI.…”

Section: Introductionmentioning

confidence: 99%

A new storm topology for synopsis management in the processing architecture

Diván

Martín

2017

2017 XLIII Latin American Computer Conference (CLEI)

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Abstract-The Processing Architecture based on Measurement Metadata (PAbMM) is a data stream management system specialized in measurement and evaluation (M&E) projects, which incorporates predictive and detective behavior on data streams. It uses a case based organizational memory for recommending courses of action in each detected online situation and previously modeled by the project definition. In this work the storm topology associated with the online processing in PAbMM is described. Additionally, a new synopses strategy for monitoring entities under analysis is presented and a new schema for training the online classifiers is introduced. This new schema allows indicating to the classifiers the problem characterization, the proposal solution and the associated indicator value (target class). A practical case associated with the weather radar of the Experimental Agricultural Station (EAS) INTA Anguil (Province of La Pampa, Argentina) is shown, indicating the advantages of this storm topology and the new schema oriented to training data set.

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Towards the Support of Contextual Information to a Measurement and Evaluation Framework

Cited by 21 publications

References 7 publications

Towards a Consistent Measurement Stream Processing from Heterogeneous Data Sources

Towards a Consistent Measurement Stream Processing from Heterogeneous Data Sources

Applications of Case Based Organizational Memory Supported by the PAbMM Architecture

A new storm topology for synopsis management in the processing architecture

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