1990
DOI: 10.1049/sej.1990.0007
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An evaluation of some design metrics

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Cited by 61 publications
(27 citation statements)
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“…As mentioned earlier, similar experiments to these have been performed for imperative languages within di erent application domains 3,6,7]. The programme of work described here has been in uenced by these experiments, particularly those partially funded by the Alvey Software Reliability M o d e l l i n g Project and the ESPRIT REQUEST project 7].…”
Section: The Application Domainmentioning
confidence: 78%
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“…As mentioned earlier, similar experiments to these have been performed for imperative languages within di erent application domains 3,6,7]. The programme of work described here has been in uenced by these experiments, particularly those partially funded by the Alvey Software Reliability M o d e l l i n g Project and the ESPRIT REQUEST project 7].…”
Section: The Application Domainmentioning
confidence: 78%
“…Metrics based on internal attributes are often employed in the belief that there is a strong correlation between internal attributes and the desired external attributes. Internal attributes such as length, modularity, reuse, coupling and cohesion are much easier to measure than external attributes, and some work has already been done on correlating internal and external attributes for programs written in imperative languages 3,6,7]. The experiment described here used established statistical techniques to ascertain whether or not there is any correlation between a selection of internal attributes (based on length and modularity) and certain characteristics of the development process, such a s t h e n umber of errors found during development, which are assumed to be indicative o f q u a l i t y.…”
Section: Methodsmentioning
confidence: 99%
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“…Assessing distribution by means of one of the statistical deviation values, e.g., the standard deviation, should be considered as one of the alternatives. However, the metrics are usually distributed in a highly asymmetric way [2,8] making standard deviation ill-suited for the distribution assessment. Therefore, one should estimate the probability density function for the distribution of the metrics being studied.…”
Section: Discussionmentioning
confidence: 99%
“…Kitchenham et al showed that a useful prediction system can be created using statistical methods [7]. Following their example, we use a statistical method for discovering relations between internal and external attributes (Section 3.2).…”
Section: Measurement For Predictionmentioning
confidence: 99%