Large-Scale Automated Software Diversity—Program Evolution Redux

Large-Scale Automated Software Diversity - Program Evolution Redux

The software monoculture favors attackers over defenders, since it makes all target environments appear similar. Code-reuse attacks, for example, rely on target hosts running identical software. Attackers use this assumption to their advantage by automating parts of creating an attack. This article presents large-scale automated software diversification as a means to shore up this vulnerability...

Automated Approach for Testing Large Scale Software

Analyzing the Evolution of Large-Scale Software

This special issue reports on approaches that address the issue of analyzing and visualizing the evolution of large-scale software. These approaches were discussed during the IEEE Workshop on Evolution of Large-Scale Industrial Software Evolution (ELISA), which was co-located with the International Conference on Software Maintenance in Amsterdam in September 2003. After a thorough review proces...

A partition-based algorithm for clustering large-scale software systems

Clustering techniques are used to extract the structure of software for understanding, maintaining, and refactoring. In the literature, most of the proposed approaches for software clustering are divided into hierarchical algorithms and search-based techniques. In the former, clustering is a process of merging (splitting) similar (non-similar) clusters. These techniques suffered from the drawba...

Evolution of Open Source Software Systems – A Large-Scale Investigation

In this paper, the evolution of a large sample of open source software projects will be analysed. The evolution of commercial systems has been an issue that has long been a center of research, thus a coherent theoretical framework of software evolution has been developed and empirically tested. Therefore these results can be used to compare the situation in open source projects to the evolution...