%0 Conference Paper %B 2009 6th IEEE International Working Conference on Mining Software Repositories (MSR)2009 6th IEEE International Working Conference on Mining Software Repositories %D 2009 %T On mining data across software repositories %A Anbalagan, Prasanth %A Vouk, Mladen %K bug reports %K bugzilla %K Fedora %K Firefox %K htmlscraper %K integration %K launchpad %K national vulnerability database %K RedHat %K Suse %K tracker %K Ubuntu %X Software repositories provide abundance of valuable information about open source projects. With the increase in the size of the data maintained by the repositories, automated extraction of such data from individual repositories, as well as of linked information across repositories, has become a necessity. In this paper we describe a framework that uses web scraping to automatically mine repositories and link information across repositories. We discuss two implementations of the framework. In the first implementation, we automatically identify and collect security problem reports from project repositories that deploy the Bugzilla bug tracker using related vulnerability information from the National Vulnerability Database. In the second, we collect security problem reports for projects that deploy the Launchpad bug tracker along with related vulnerability information from the National Vulnerability Database. We have evaluated our tool on various releases of Fedora, Ubuntu, Suse, RedHat, and Firefox projects. The percentage of security bugs identified using our tool is consistent with that reported by other researchers. %B 2009 6th IEEE International Working Conference on Mining Software Repositories (MSR)2009 6th IEEE International Working Conference on Mining Software Repositories %I IEEE %C Vancouver, BC, Canada %P 171 - 174 %@ 978-1-4244-3493-0 %R 10.1109/MSR.2009.5069498 %> https://flosshub.org/sites/flosshub.org/files/171MiningAcrossmsr09.pdf %0 Journal Article %J Information Systems Journal %D 2002 %T Code quality analysis in open source software development %A Ioannis Stamelos %A Lefteris Angelis %A Apostolos Oikonomou %A Georgios L. Bleris %K C %K Code quality characteristics %K functions %K linux %K metrics %K open source development %K software measurement %K structural code analysis %K Suse %K user satisfaction %X Proponents of open source style software development claim that better software is produced using this model compared with the traditional closed model. However, there is little empirical evidence in support of these claims. In this paper, we present the results of a pilot case study aiming: (a) to understand the implications of structural quality; and (b) to figure out the benefits of structural quality analysis of the code delivered by open source style development. To this end, we have measured quality characteristics of 100 applications written for Linux, using a software measurement tool, and compared the results with the industrial standard that is proposed by the tool. Another target of this case study was to investigate the issue of modularity in open source as this characteristic is being considered crucial by the proponents of open source for this type of software development. We have empirically assessed the relationship between the size of the application components and the delivered quality measured through user satisfaction. We have determined that, up to a certain extent, the average component size of an application is negatively related to the user satisfaction for this application. %B Information Systems Journal %V 12 %P 43–60