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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
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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
The role of ligand efficiency metrics in drug discovery
Nature Reviews Drug Discovery, 2014Andrew L Hopkins +2 more
exaly
Towards software metrics for evaluating quality of IEC 61499 automation software
2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA), 2015G. Zhabelova, V. Vyatkin
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Bridging the academic and industrial metrics for next-generation practical batteries
Nature Nanotechnology, 2019Yu-Liang Cao, Matthew Li, Jun Lu
exaly
Empirical analysis of change metrics for software fault prediction
Computers & electrical engineering, 2018Garvit Rajesh Choudhary +4 more
semanticscholar +1 more source
A fuzzy logic based approach for phase-wise software defects prediction using software metrics
Information and Software Technology, 2015Harikesh Bahadur Yadav, D. Yadav
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Model-Based Quantitative Network Security Metrics: A Survey
IEEE Communications Surveys and Tutorials, 2017Raimir Holanda Filho +1 more
exaly
Innovations in Systems and Software Engineering, 2017
Raed A. Shatnawi
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Raed A. Shatnawi
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