Managing software process measurement: A metamodel-based approach

García, Félix; Serrano, Manuel A.; Cruz-Lemus, José A.; Ruíz, Francisco; Piattini, Mario

doi:10.1016/j.ins.2007.01.018

Cited by 61 publications

(41 citation statements)

References 18 publications

(23 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A flexible method to measure any kind of software entity represented by its associated meta-model is proposed by [4]. In [18], authors discuss existing quality models before proposing a meta-model for specifying quality models in the context of model-driven engineering.…”

Section: Significant Problems In the Field And Their Current Solumentioning

confidence: 99%

A quality based approach for the analysis and design of Business Process models

Ayad

2012

2012 Sixth International Conference on Research Challenges in Information Science (RCIS)

View full text Add to dashboard Cite

Abstract-The scientific problem addressed in this paper consists in modeling and improving Business Process (BP) models quality. This problem is of growing interest as companies are realizing the undeniable impact of a better understanding of business processes (BP) on the effectiveness, consistency and transparency of their business operations. The research aims at proposing methods and tools for BP model quality measurement and improvement. We propose a semantic approach of quality exploiting domain knowledge.

show abstract

Section: Significant Problems In the Field And Their Current Solumentioning

confidence: 99%

A quality based approach for the analysis and design of Business Process models

Ayad

2012

2012 Sixth International Conference on Research Challenges in Information Science (RCIS)

View full text Add to dashboard Cite

show abstract

“…There are also works about a measurement-related metamodel [16,15,42,39,17,50]. A measurementrelated metamodel can address three different concerns: the measurement process, the measurement results, and the metric specifications.…”

Section: Abstraction Levels For Expressing Metricsmentioning

confidence: 99%

“…We address the metamodeling of metric specifications. On the contrary, [16,15,42,39,17,50] are more oriented towards metamodeling of measurement processes and measurement results. For instance, important classes of the metamodel of [16] are ScaleType and MeasurementResult.…”

Section: Abstraction Levels For Expressing Metricsmentioning

confidence: 99%

“…Existing work goes in the same direction [31,15,18,17,50]. Compared to them, our contributions are: 1) our metric metamodel encompasses a bigger variety of metrics 2) all elements related to the metric specification are metamodeled, including predicates on model elements 3) our evaluation is larger in breadth: we apply the same approach and use the same measurement software generator to four orthogonal domains.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Model-driven generative development of measurement software

et al. 2010

View full text Add to dashboard Cite

Metrics offer a practical approach to evaluate properties of domain-specific models. However, it is costly to develop and maintain measurement software for each domain specific modeling language. In this paper, we present a model-driven and generative approach to measuring models. The approach is completely domain-independent and operationalized through a prototype that synthesizes a measurement infrastructure for a domain specific modeling language. This model-driven measurement approach is model-driven from two viewpoints: 1) it measures models of a domain specific modeling language; 2) it uses models as unique and consistent metric specifications, w.r.t. a metric specification metamodel which captures all the necessary concepts for model-driven specifications of metrics. The benefit from applying the approach is evaluated by four case studies. They indicate that this approach significantly eases the measurement activities of model-driven development processes.

show abstract

“…Scholars of the university of Castilla La Mancha developed the Software Measurement Ontology (SMO) (García et al, 2006;García et al, 2009;García, Serrano, Cruz-Lemus, Ruiz, & Piattini, 2007), in which many concepts from measurement are introduced. It defines the concepts and compares definitions with other ISO and IEEE standards amongst others.…”

Section: Iso and Ieee Standardsmentioning

confidence: 99%

Quality of semantic standards

Folmer¹

View full text Add to dashboard Cite

Managing software process measurement: A metamodel-based approach

Cited by 61 publications

References 18 publications

A quality based approach for the analysis and design of Business Process models

A quality based approach for the analysis and design of Business Process models

Model-driven generative development of measurement software

Quality of semantic standards

Contact Info

Product

Resources

About