A Model-Driven Approach to Specifying and Monitoring Controlled Experiments in Software Engineering

Freire, Marília; Accioly, Paola; Sizílio, Gustavo; Neto, Edmilson Campos; Kulesza, Uirá; Aranha, Eduardo; Borba, Paulo

doi:10.1007/978-3-642-39259-7_8

Cited by 13 publications

(2 citation statements)

References 8 publications

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“…Freire et al [11] presented a customizable model-driven environment for supporting and conducting controlled experiments in Software Engineering. The approach is composed of a domain-specific language for modeling the domain of controlled experiments, model-driven transformations that map abstractions from the domain-specific language to workflow models for each participant in the experiment, and a workflow execution environment that guides experiment execution and monitoring.…”

Section: Empirical Software Engineeringmentioning

confidence: 99%

Recent developments in product-focused software process improvement

Graziotin

Jedlitschka

2013

SIGSOFT Softw. Eng. Notes

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This report summarizes the presentations and discussions that happened at PROFES 2013, the 14th International Conference on ProductFocused Software Process Improvement, which was held June 12-14, 2013 in Paphos, Cyprus. The main theme of PROFES is software process improvement (SPI) motivated by product, process, and service quality needs. PROFES 2013 addressed both quality engineering and management topics, divided into the areas of Decision Support in

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Section: Empirical Software Engineeringmentioning

confidence: 99%

Recent developments in product-focused software process improvement

Graziotin

Jedlitschka

2013

SIGSOFT Softw. Eng. Notes

View full text Add to dashboard Cite

show abstract

“…Any Abstract Component subclass shares some characteristic, such as a label. Unlike other solutions (such as ExpDSL [21] and eSEE [10] , a questionnaire component can have more than one label. Allowing many labels for a same component allows researchers to specify their questionnaire in different languages [39] .…”

Section: Questionnaire Packagementioning

confidence: 99%