2012 Sixth Brazilian Symposium on Software Components, Architectures and Reuse 2012
DOI: 10.1109/sbcars.2012.17
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Comparing Two Black-Box Testing Strategies for Software Product Lines

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Cited by 9 publications
(4 citation statements)
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“…Time analysis was conducted with R Statistical Software using the inputs extracted from each day. We used the linear model described in Figure 5.1 that considers the effect of different factors on the response variable as proposed by other authors (ACCIOLY, 2012;SANCHEZ, 2004).…”
Section: Resultsmentioning
confidence: 99%
“…Time analysis was conducted with R Statistical Software using the inputs extracted from each day. We used the linear model described in Figure 5.1 that considers the effect of different factors on the response variable as proposed by other authors (ACCIOLY, 2012;SANCHEZ, 2004).…”
Section: Resultsmentioning
confidence: 99%
“…The other two experiments (Accioly et al [54] and Vokáč et al [13] ) collect almost the same kind of variables. However, they also collect the artifacts produced during the experiment execution.…”
Section: Measurementsmentioning
confidence: 95%
“…Moreover, Ratiu et al [53] suggests a God Class detection technique considering the classes that use various data from the nearby classes having a high complexity or low cohesion between methods. Based on this concept, the objectives of Santos et al [28] , this study is to find empirical support to evaluate the impact of a tool in supporting god class detection; • Accioly et al [54] . This experiment was conducted with students simulating a test execution environment.…”
Section: Assessment Methodsmentioning
confidence: 99%
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