%0 Book Section %B Open Source Software: Mobile Open Source Technologies %D 2014 %T How Do Social Interaction Networks Influence Peer Impressions Formation? A Case Study %A Bosu, Amiangshu %A Carver, JeffreyC. %E Corral, Luis %E Sillitti, Alberto %E Succi, Giancarlo %E Vlasenko, Jelena %E Wasserman, AnthonyI. %K COLLABORATION %K FOSS %K open source %K OSS %K social network analysis %X Due to their lack of physical interaction, Free and Open Source Software (FOSS) participants form impressions of their teammates largely based on sociotechnical mechanisms including: code commits, code reviews, mailing-lists, and bug comments. These mechanisms may have different effects on peer impression formation. This paper describes a social network analysis of the WikiMedia project to determine which type of interaction has the most favorable characteristics for impressions formation. The results suggest that due to lower centralization, high interactivity, and high degree of interactions between participants, the code review interactions have the most favorable characteristics to support impression formation among FOSS participants. %B Open Source Software: Mobile Open Source Technologies %S IFIP Advances in Information and Communication Technology %I Springer Berlin Heidelberg %V 427 %P 31-40 %@ 978-3-642-55127-7 %U http://dx.doi.org/10.1007/978-3-642-55128-4_4 %R 10.1007/978-3-642-55128-4_4 %0 Book Section %B Open Source Software: Mobile Open Source Technologies %D 2014 %T When Are OSS Developers More Likely to Introduce Vulnerable Code Changes? A Case Study %A Bosu, Amiangshu %A Carver, JeffreyC. %A Hafiz, Munawar %A Hilley, Patrick %A Janni, Derek %E Corral, Luis %E Sillitti, Alberto %E Succi, Giancarlo %E Vlasenko, Jelena %E Wasserman, AnthonyI. %K FOSS %K open source %K OSS %K security %K vulnerability %X We analyzed peer code review data of the Android Open Source Project (AOSP) to understand whether code changes that introduce security vulnerabilities, referred to as vulnerable code changes (VCC), occur at certain intervals. Using a systematic manual analysis process, we identified 60 VCCs. Our results suggest that AOSP developers were more likely to write VCCs prior to AOSP releases, while during the post-release period they wrote fewer VCCs. %B Open Source Software: Mobile Open Source Technologies %S IFIP Advances in Information and Communication Technology %I Springer Berlin Heidelberg %V 427 %P 234-236 %@ 978-3-642-55127-7 %U http://dx.doi.org/10.1007/978-3-642-55128-4_37 %R 10.1007/978-3-642-55128-4_37