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Titlebook: Software Metrics; Research and Practic Franz Lehner,Reiner Dumke,Alain Abran Textbook 1997 Springer Fachmedien Wiesbaden 1997 Compliance.En

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Applying Knowledge-Based Techniques to Software Quality Managementor rate or that need high development effort. Fuzzy knowledge-based techniques are introduced as a basis for constructing ruelbased quality models that can identify outlying software components that might cause potential quality problems. The suggested approach and ist advantages towards common clas
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The Use of Factor Analysis in the Area of Software Metricsegrees of freedom of the transformability allowed for factor loading matrices in interpreting correlations. Moreover we suppose that investigations with the principal component model are too roughly designed for a better utilization of factor analysis in this field of applica­tion.
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Quality and Productivity Improvement in Object-Oriented Software Developmenttivity in an industrial environment. Firstly, we will describe the basic quality methods applied like QIP and software metrics, then the main characteristics of the environment at the Daimler-Benz Aerospace AG (DASA) in Ulm. Finally, we present the experiences gained with the improvement of the industrial object-oriented systems development.
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Really Object-Oriented Software Metricscribes an object-oriented approach of a software measurement framework. The presented framework was applied to the object-oriented software metrics area and leads to really object-oriented software metrics. The usability of this approach was described in some object-oriented software development examples.
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Measuring the Size of Small Functional Enhancements to Software This paper describes an extended version of FPA which is proposed to address this measurement issue of lack of sensitivity to small size changes. It also presents the design and the results of an empirical study carried out using this extended version.
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Validation Process in Software Engineering: An example with Function Pointes of validation are required to ensure the quality and the integrity of the data for meaningful benchmarking studies in software engineering due the current immaturity of both software metrics and software engineering processes at industrial sites as assessed the maturity model developed by the Software Engineering Institute (USA).
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