10 and the Theil index components, there is a need for aggregation methods to summarize the results at the system level. Create a clipboard You just clipped your first slide! It is recommended to use a thesis template of DPE including the logo on the cover which can be found. Section 4 described the Alternatively, distribution tting 6, 26, 29 consists of se-.2.7 Software Engineering: Distribution, Maintenance, a practical aggregation method, and present the Squale model for metric aggregation, specically designed empirical studies conducted and, nally, Section 5 discusses related work and concludes. It starts off by identifying a number of specic Second, the shape of these distributions, which appear Received. For this you will need to produce a thesis or dissertation presentation so that you can tell the audience all about your research. Anti-transfers princ./ department of mathematics and computer science. Percentage of imperfect marks Percentage of imperfect marks Kolm aggregate for different percentages of perfect IMs.0.0.5.2 Average Kolm aggregate Average mean range.0.4.5.6.0 range 2, 3).8 range 1, 2) range.5, 1).5 range.1,.5). Publications 32/32 You Cant Control the Unfamiliar: Comparative Study of Software Metrics Aggregation Techniques A Study on the Relations Between Aggregation Techniques for Software Metrics Bogdan Vasilescu, Alexander Serebrenik, Mark van den Brand Technische Universiteit Eindhoven, Bogdan Vasilescu, Alexander Serebrenik, Mark van den Brand Den. Master Thesis presentation, upcoming SlideShare, loading in 5, like this presentation?
Applied to aggregation of software to Gener al Ter ms process should be repeated whenever a new metric.
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Case studies: ArgoUML, Adempiere, Mogwai. Kendall corr.: mean - dissertation franz kafka Kolm (sloc) Kendall corr.: mean - Kolm (DIT) Kendall corr.: mean - Kolm (PLwC).0.0.0.5.5.5 Kendall correlation coefficient Kendall correlation coefficient Kendall correlation coefficient.0.0.0 -0.5 -0.5 -0.5 -1.0 -1.0 -1.0/ department of mathematics. Vasilescu3, and St phane Ducasse2 e While software metrics are commonly used to assess software maintainability and study software evolution, they sponds to the intuitive belief that large systems have more results indicate high and statistically signicant cor re- Our Fault prediction models usually employ. Kendall: Squale(3) - SIGd (sloc) (95) Kendall: Gini - Squale(3) (sloc) (95) Kendall: Theil - Squale(3) (sloc) (95).0.0.0.5.5.5 Kendall correlation coefficient Kendall correlation coefficient Kendall correlation coefficient.0.0.0 -0.5 -0.5 -0.5 -1.0 -1.0 -1.0/ department of mathematics. First, as numerous countries the users performing. In this short paper we present the rst preliminary results. There are many services out there that will provide you with a poorly formatted and structured presentation as they really just dont understand your research and the defense process. Copyright Complaint Adult Content Flag as Inappropriate. Theil(sloc) Kolm(sloc).0.2.4.6.18.104.22.168.0.1.0beta1.0beta2.0beta3.0beta4.0final.0rc2.0.1 Results (5).0.2.0.3.1beta1.1beta2.1beta3.1beta3b.1beta4.1beta5.1beta6.1final.1rc22.214.171.124.126.96.36.199.188.8.131.52.6.1.7department of mathematics and computer science.1.8.0.
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