Methodology for validating software metrics

17-Mar-2016 10:47 by 2 Comments

Methodology for validating software metrics

..." Abstract—Measurement of software security is a long standing challenge to the research community.

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To perform our validation accurately, we collected data on the development of eight medium-sized information management systems based on identical requirements.In this paper, we present a process to build Bayesian networks to represent the uncertainties of software metrics-based models.The proposed solution is composed of two activities and focuses on the selection and validation of metrics to construct the Bayesian networks. Given the successful results, we concluded that the proposed solution is promising.In the software measurement validations, assessing the validation of software metrics in software engineering is a very difficult task due to lack of theoretical methodology and empirical methodology [41, 44, 45].During recent years, there have been a number of researchers addressing the issue of validating software metrics.Typically, one defines the properties of the attribute that is to be measured, for example, the properties of module coupling.

Then one demonstrates analytically that the product metric satisfies these properties.

Further, validation objective is to discover defects in a system and assess whether or not the system is useful and usable in operational situation.

In the case of software engineering, validation is one of the software engineering disciplines that help build quality into software.

In order to do this, we assessed these metrics as predictors of fault-prone clas ..." This paper presents the results of a study conducted at the University of Maryland in which we experimentally investigated the suite of Object-Oriented (OO) design metrics introduced by [Chidamber& Kemerer, 1994].

In order to do this, we assessed these metrics as predictors of fault-prone classes.

here to be consistent with prevailing international standards.

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