Title :
Changeset based developer communication to detect software failures
Author_Institution :
Dept. of Comput. Sci., Univ. of Victoria, Victoria, BC, Canada
Abstract :
As software systems get more complex, the companies developing them consist of larger teams and therefore results in more complex communication artifacts. As these software systems grow, so does the impact of every action to the product. To prevent software failure created by this growth and complexity, companies need to find more efficient and effective ways to communicate. The method used in this paper presents developer communication in the form of social networks of which have properties that can be used to detect software failures.
Keywords :
fault diagnosis; groupware; social networking (online); software engineering; software reliability; changeset based developer communication; complex communication artifacts; developer communication; failure-inducing communication pattern; social networks; software failure detection; software systems; Collaboration; Data mining; Joining processes; Social network services; Software engineering; Software systems;
Conference_Titel :
Software Engineering (ICSE), 2013 35th International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4673-3073-2
DOI :
10.1109/ICSE.2013.6606747