Methodology for validating software metrics azdg dating site in polska

Based on experimental results, the advantages and drawbacks of these OO metrics are discussed. Abstract—Measurement of software security is a long standing challenge to the research community.Several of Chidamber& Kemerer's OO metrics appear to be useful to predict class fault-proneness during the early phases of the life-cycle. At the same time, practical security metrics and measurements are essential for secure software development.However, our results indicate that the importance of the particular classification algorithm may be less than previously assumed since no significant performance differences could be detected among the top 17 classifiers.Index Terms—Complexity measures, data mining, formal methods, statistical methods, software defect prediction. This paper describes the results of an investigation into a set of metrics for object-oriented design, called the MOOD metrics.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.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 intended to measure: encapsulation, inheritance, coupling, and polymorphism.

Validating a software attribute’s measure is hard in general [51]; also, there is no consensus in the community on a validation framework =-=[89, 66, 12, 104, 107, 51, 74, 52]-=-.At the same time, practical security metrics and measurements are essential for secure software development.In this paper, we propose to use a software system’s attack surface measurement as an indicator of the system’s security.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.

Search for methodology for validating software metrics:

methodology for validating software metrics-47methodology for validating software metrics-58methodology for validating software metrics-53

Leave a Reply

Your email address will not be published. Required fields are marked *

One thought on “methodology for validating software metrics”

  1. There is no builtin method for handling different encodings, but demo\edita handles all such files with ease, including the nifty little encoding drop-down on the open/close dialog.