Results 271 to 280 of about 252,658 (290)
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Parametric Software Metric

2011
Software metrics make meaningful information such as reliability, maintainability to help developers, architecture and so on. It also decides what kind of information is needed to produce a meaningful result from a preset goal. Software metrics should be customizable according to the needs of different users. Earlier, software metrics were not flexible
Won Shin   +3 more
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Software product metrics

IEEE Potentials, 2000
Software metrics are measures of software. Their primary use is to help us plan and predict software development. We can better control software quality and development effort if we can quantify the software. This is especially true in the early stages of development.
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Software Metrics Reviewed

1993
Abstract This chapter reviews developments in the field of software metrics from the early 1970s to the present time. Metrics can be categorized according to the stage of software development with which they are associated. Thus we have code metrics, design metrics, and specification metrics. Although our primary interest in this book is
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Software Management Metrics

1988
Abstract : The metrics presented in this document are used to monitor the progress of a software development offer. They provide visibility into developing trends and thereby can be used to forecast potential problems. These metrics are based on Government and industry experiences with a previous set of their use.
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Software Metrics and Problem Solving

2017
This chapter is concerned with metrics and problem-solving, and this includes a discussion of the Balanced Scorecard which assists in identifying appropriate metrics for the organization. The Goal, Question, Metrics (GQM) approach is discussed, and this allows metrics related to the organization goals to be defined. A selection of sample metrics for an
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Software metrics

Information & Management, 1977
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Software Security Metrics

2022
Suhel Ahmad Khan   +2 more
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Dynamic software metrices

1993
In this paper a dynamic approach to measure the coupling of software systems is proposed. The conventionally used static measures are only limited suitable for the evaluation and characterization of such systems. We extend the static methodology with a dynamic component and define new measures based on this approach. A model for system characterization
openaire   +1 more source

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