Methodology for validating software metrics subscription dating site

Security is a software attribute that is hard to measure; hence validating a security measure is even harder. Abstract—Software defect prediction strives to improve software quality and testing efficiency by constructing predictive classification models from code attributes to enable a timely identification of fault-prone modules.

There is not much prior work on validating security measurements and metrics. Several classification models have been evaluated for this task.

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Hence the need for metrics is more pressing now due to a growing demand for secure software...." Abstract—Measurement of software security is a long standing challenge to the research community.We formalize the notion of a system’s attack surface and introduce an attack surface metric to measure the attack surface in a systematic manner.Our measurement method is agnostic to a software system’s implementation language and is applicable to systems of all sizes; we demonstrate our method by measuring the attack surfaces of small desktop applications and large enterprise systems implemented in C and Java.To perform our validation accurately, we collected data on the development of eight medium-sized information management systems based on identical requirements.

All eight projects were developed using a sequential life cycle model, a well-known OO analysis/design method and the C programming language.

However, due ..." Abstract—Software defect prediction strives to improve software quality and testing efficiency by constructing predictive classification models from code attributes to enable a timely identification of fault-prone modules.

Several classification models have been evaluated for this task.

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 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].

The merits of each of the six MOOD metrics is discussed from a measurement theory viewpoint, taking into account the recognized object-oriented features which they were int ..." This paper describes the results of an investigation into a set of metrics for object-oriented design, called the MOOD metrics.