@article {12121,
	title = {An operational process for goal-driven definition of measures},
	journal = {Software Engineering, IEEE Transactions on},
	volume = {28},
	year = {2002},
	month = {2002/12//},
	pages = {1106 - 1125},
	abstract = {We propose an approach (GOM/MEDEA) for defining measures of product attributes in software engineering. The approach is driven by the experimental goals of measurement, expressed via the GQM paradigm, and a set of empirical hypotheses. To make the empirical hypotheses quantitatively verifiable, GQM/MEDEA supports the definition of theoretically valid measures for the attributes of interest based on their expected mathematical properties. The empirical hypotheses are subject to experimental verification. This approach integrates several research contributions from the literature into a consistent, practical, and rigorous approach.},
	keywords = {attributes;, definition;, development, empirical, engineering;, expected, experimental, goal-driven, GQM, GQM/MEDEA;, hypotheses;, management;, mathematical, measure, measurement;, metrics;, operational, paradigm;, process;, Product, properties;, quality;, software, verification;},
	isbn = {0098-5589},
	doi = {10.1109/TSE.2002.1158285},
	author = {Briand,L.C. and Morasca,S. and Basili, Victor R.}
}
@article {18378,
	title = {Complexity measure evaluation and selection},
	journal = {Software Engineering, IEEE Transactions on},
	volume = {21},
	year = {1995},
	month = {1995/08//},
	pages = {641 - 650},
	abstract = {A formal model of program complexity developed earlier by the authors is used to derive evaluation criteria for program complexity measures. This is then used to determine which measures are appropriate within a particular application domain. A set of rules for determining feasible measures for a particular application domain are given, and an evaluation model for choosing among alternative feasible measures is presented. This model is used to select measures from the classification trees produced by the empirically guided software development environment of R.W. Selby and A.A. Porter, and early experiments show it to be an effective process},
	keywords = {alternative, complexity, criteria;evaluation, development, domain;classification, environment;evaluation, evaluation;empirically, evaluation;software, feasible, guided, measure, measures;application, measures;program, measures;software, metrics;software, model;feasible, performance, quality;software, selection;, software, trees;complexity},
	isbn = {0098-5589},
	doi = {10.1109/32.403788},
	author = {Tian,J. and Zelkowitz, Marvin V}
}
