Software modeling and measurement: the Goal/Question/Metric paradigm
Software modeling and measurement: the Goal/Question/Metric paradigm
Explaining Software Developer Acceptance of Methodologies: A Comparison of Five Theoretical Models
IEEE Transactions on Software Engineering
Motivation in Software Engineering: A systematic literature review
Information and Software Technology
Feed me: motivating newcomer contribution in social network sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Awareness 2.0: staying aware of projects, developers and tasks using dashboards and feeds
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1
Motivating physical activity at work: using persuasive social media for competitive step counting
Proceedings of the 14th International Academic MindTrek Conference: Envisioning Future Media Environments
Proactive detection of collaboration conflicts
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
From game design elements to gamefulness: defining "gamification"
Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments
Proceedings of the 2013 conference on Computer supported cooperative work
Social influences on secure development tool adoption: why security tools spread
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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Software engineering research and practice provide a wealth of methods that improve the quality of software and lower the costs of producing it. Even though processes mandate their use, methods are not employed consequently. Software developers and development organizations thus cannot fully benefit from these methods. We propose a method that, for a given software engineering method, provides instructions on how to improve its adoption using social software. This employs the intrinsic motivation of software developers rather than prescribing behavior. As a result, we believe that software engineering methods will be applied better and more frequently.