CRITICAL COMPONENTS IDENTIFICATION USING MUTATION BASED COMPONENTS IMPACT ANALYSIS

Persian Handwriting Analysis Using Functional Principal Components

Principal components analysis is a well-known statistical method in dealing with large dependent data sets. It is also used in functional data for both purposes of data reduction as well as variation representation. On the other hand "handwriting" is one of the objects, studied in various statistical fields like pattern recognition and shape analysis. Considering time as the argument,...

Trustable Components: Yet Another Mutation-Based Approach

This paper presents the use of mutation analysis as the main qualification technique for: estimating and automatically enhancing a test set (using genetic algorithms), qualifying and improving a component’s contracts (that is the specification facet) measuring the impact of contractable robust components on global system robustness and reliability. The methodology is based on an integrated desi...

Using COTS Components in Safety-Critical Systems

Risk is a broadranging and multidimensional topic, including both management risks and technical risks. Management risks for COTS are well known, such as loss of market control, rapid obsolescence, and the shift from a buyer’s market to a seller’s market. Technical risk factors are less well understood. These factors include interoperability and performance issues as well as safety. This paper ...

Critical Review of Components

Model-Based Identification of Fault-Prone Components

The validation and verification of software is typically a costly part of the development. A possibility to reduce costs is to concentrate these activities on the fault-prone components of the system. A classification approach is proposed that identifies these components based on detailed UML models. For this mainly existing code metrics are tailored to be applicable to models and are combined ...