2000
DOI: 10.1016/s0164-1212(00)00050-9
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A method and tool for assessing object-oriented projects and metrics management

Abstract: The number of metrics and tools for the assessment/control of object-oriented project is increasing. In the last years, the eort spent in de®ning new metrics has not been followed by a comparable eort in establishing methods and procedures for their systematic application. To make the investment on project assessment eective, speci®c methods and tools for product and process control have to be applied and customized on the basis of speci®c needs. In this paper, the experience of the authors cumulated in interp… Show more

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Cited by 38 publications
(4 citation statements)
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“…We played out the item metric examination on the given instructive gathering. From the data examination [13], [14], [17], [22], [23], [25] we can pick which property can be viewed as and which quality can be disregarded. For instance, in the Pearson procedure if the estimation of r is more than 0.5 then the attributes are thought to be immovably related and if it is underneath 0.3 the characteristics are insufficiently related.…”
Section: )mentioning
confidence: 99%
“…We played out the item metric examination on the given instructive gathering. From the data examination [13], [14], [17], [22], [23], [25] we can pick which property can be viewed as and which quality can be disregarded. For instance, in the Pearson procedure if the estimation of r is more than 0.5 then the attributes are thought to be immovably related and if it is underneath 0.3 the characteristics are insufficiently related.…”
Section: )mentioning
confidence: 99%
“…)-(y i )) 2 values  Supplant the total values in the accompanying structure to get the enhanced cost of 0 J(θ1) =1/2m∑(hθ (x i )-(y i )) 2 Table.3. Linear Regression A1 A2 A3 A4 A5 A6 A7 A8 A9 A1 1 1.9, 1 2.0, 1 1.2, 0.5 1.4, 0.5 -1.3, 1 1.3, 1 -A2 1.9, 1 1 0.1, 1 -1.8, 0.5 -2, 1 0.6, 1 -A3 2.0, 1 0.1, 1 1 -1.8, 0.5 -2, 1 0.6, 1 -A4 1.2, 0.5 --1 0.7, 1 -1.2, 1 --A5 1.4, 0.5 1.8, 0.5 1.8, 0.5 0.7, 1 1 2.9, 0.5 1.3, 1 - (Fioravanti, 2000), we will get the enhanced θ value, and for this θ trait value can be proficiently relapsed after the Pearson likeness measure (where r>0.8). This technique is utilized for cost improving which implies advancing the variable.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, one important future application of this research is related to research that have studied software quality decay and proposed ways to measure such decay, e.g. [3,4,26,31,[33][34][35]41,43,45].…”
Section: Introductionmentioning
confidence: 99%