Defining and validating metrics for assessing the understandability of entity–relationship diagrams

Genero, Marcela; Poels, Geert; Piattini, Mario

doi:10.1016/j.datak.2007.09.011

Cited by 75 publications

(37 citation statements)

References 36 publications

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“…Personal factors relate to the reader of such a model, for example with respect to one's educational background or the perceptions that are held about a process model. While insights are missing into the impact of any of such factors -beyond size -on process model understandability, research has suggested the importance of similar factors in other conceptual data models [11], [12].…”

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confidence: 99%

A Study Into the Factors That Influence the Understandability of Business Process Models

Reijers

Mendling

2011

IEEE Trans. Syst., Man, Cybern. A

225

163

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Abstract-Business process models are key artifacts in the development of information systems. While one of their main purposes is to facilitate communication among stakeholders, little is known about the factors that influence their comprehension by human agents. On the basis of a sound theoretical foundation, this paper presents a study into these factors. Specifically, the effects of both personal and model factors are investigated. Using a questionnaire, students from three different universities evaluated a set of realistic process models. Our findings are that both types of investigated factors affect model understanding, while personal factors seem to be the more important of the two. The results have been validated in a replication that involves professional modelers.

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mentioning

confidence: 99%

A Study Into the Factors That Influence the Understandability of Business Process Models

Reijers

Mendling

2011

IEEE Trans. Syst., Man, Cybern. A

225

163

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“…From the last column we observe that Distance framework has been rarely used to corroborate measures in the context of DW. However, lots of researchers (Genero et al [18], Tripathi et al [19], Rossi and Fernandez [20], Bajeh et al [21], Munoz et al [22]) in software engineering have used the said framework to validate quality measures. This further motivated us to validate the DW conceptual model metrics using the Distance framework.…”

Section: Related Workmentioning

confidence: 99%

“…This further motivated us to validate the DW conceptual model metrics using the Distance framework. Genero et al [18] have proposed objective measures to quantify the structural properties of entity relationship diagrams. Their measures are related to the understandability and inturn quality of the diagrams.…”

Section: Related Workmentioning

confidence: 99%

Formal Validation of Data Warehouse Complexity Metrics using Distance Framework

Aggarwal¹,

Sabharwal²

2017

IJISA

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Abstract-DataWarehouse is the cornerstone for organizations that base their strategic decisions on the large scale processing of numerical data. The success of the organization depends on these decisions and hence it becomes extremely important to have a quality data warehouse. Conceptual models have been widely recognized as a key determinant of data warehouse quality during the early stages of design. Recently, metrics have been proposed by authors based on hierarchies to quantify the complexity and inturn quality of the conceptual models of data warehouse. They have formally corroborated the measures against Briand's property based framework to ensure their validity. However, Briand's set of properties for software measures are a set of necessary but not sufficient measure axioms. They are advantageous to refute software metrics but not to validate them. Thus, we focus on the theoretical validation of the data warehouse conceptual model metrics using the Distance framework whose sufficiency is ensured by the measurement theory. The results indicate that the metrics are valid measures of the complexity of data warehouse conceptual models. Besides, validation by Distance framework assures that the metrics are in the ratio scale which further aids in data analysis.

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“…The perceived semantic quality of the model produced was measured using the five-item scale developed and applied in [43], which has been used in a variety of modeling studies [32,46]. The scale measures the perceived process model quality in terms of correctness, realistic representation, extent of contradictions, relevance and completeness.…”

Section: Measurementmentioning

confidence: 99%

How collaborative technology supports cognitive processes in collaborative process modeling: A capabilities-gains-outcome model

Recker

Mendling

Hahn

2013

Information Systems

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Defining and validating metrics for assessing the understandability of entity–relationship diagrams

Cited by 75 publications

References 36 publications

A Study Into the Factors That Influence the Understandability of Business Process Models

A Study Into the Factors That Influence the Understandability of Business Process Models

Formal Validation of Data Warehouse Complexity Metrics using Distance Framework

How collaborative technology supports cognitive processes in collaborative process modeling: A capabilities-gains-outcome model

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