@conference {Sharma:2017:IDE:3084226.3084271,
	title = {Investigating Developers{\textquoteright} Email Discussions During Decision-making in Python Language Evolution},
	booktitle = {Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering},
	series = {EASE{\textquoteright}17},
	year = {2017},
	pages = {286{\textendash}291},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Context: Open Source Software (OSS) developers use mailing lists as their main forum for discussing the evolution of a project. However, the use of mailing lists by developers for decision-making has not received much research attention. Objective: We have explored this issue by studying developers{\textquoteright} email discussions around Python Enhancement Proposals (PEPs). Method: Our dataset comprised 42,672 emails from six different mailing lists pertaining to PEP development. We performed multiple forms of analysis on these emails, involving both quantitative measures (e.g., frequency) and deeper analysis of specific PEP discussions (i.e., outlier analysis). Results: Out of three PEP types (Informational, Process and Standard Track), Standard Track PEPs attract a large amount of discussion (both in volume and average number of messages per proposal). Our study also identified specific PEP states and topics that generated a disproportionate amount of discussion. Conclusion: Our outcomes point to several opportunities for improving the management of an OSS team based on the knowledge generated from discussions. We have also identified several interesting avenues for future work such as identifying individuals or groups that present persuasive arguments during decision-making.},
	keywords = {Decision-making, Email discussions, Python development},
	isbn = {978-1-4503-4804-1},
	doi = {10.1145/3084226.3084271},
	url = {http://doi.acm.org/10.1145/3084226.3084271},
	author = {Sharma, Pankajeshwara and Savarimuthu, Bastin Tony Roy and Stanger, Nigel and Licorish, Sherlock A. and Rainer, Austen}
}
@conference {1925,
	title = {Investigating developers{\textquoteright} email discussions during decision-making in Python language evolution},
	booktitle = {Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering  - EASE{\textquoteright}17},
	year = {2017},
	pages = {286 - 291},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {Karlskrona, SwedenNew York, New York, USA},
	abstract = {Context: Open Source Software (OSS) developers use mailing lists as their main forum for discussing the evolution of a project. However, the use of mailing lists by developers for decision-making has not received much research attention. Objective: We have explored this issue by studying developers{\textquoteright} email discussions around Python Enhancement Proposals (PEPs). Method: Our dataset comprised 42,672 emails from six different mailing lists pertaining to PEP development. We performed multiple forms of analysis on these emails, involving both quantitative measures (e.g., frequency) and deeper analysis of specific PEP discussions (i.e., outlier analysis). Results: Out of three PEP types (Informational, Process and Standard Track), Standard Track PEPs attract a large amount of discussion (both in volume and average number of messages per proposal). Our study also identified specific PEP states and topics that generated a disproportionate amount of discussion. Conclusion: Our outcomes point to several opportunities for improving the management of an OSS team based on the knowledge generated from discussions. We have also identified several interesting avenues for future work such as identifying individuals or groups that present persuasive arguments during decision-making.},
	isbn = {9781450348041},
	doi = {10.1145/3084226.3084271},
	url = {https://www.researchgate.net/publication/317486549_Investigating_developers\%27_email_discussions_during_decision-making_in_Python_language_evolution},
	author = {Stanger, Nigel and Rainer, Austen and Licorish, Sherlock A. and Sharma, Pankajeshwara and Savarimuthu, Bastin Tony Roy}
}
@proceedings {1825,
	title = {Externalization of Software Behavior by the Mining of Norms},
	year = {2016},
	month = {05/2016},
	pages = {223-234},
	abstract = {Open Source Software Development (OSSD) often suffers from conflicting views and actions due to the perceived flat and open ecology of an open source community. This often manifests itself as a lack of codified knowledge that is easily accessible for community members. How decisions are made and expectations of a software system are often described in detail through the many forms of social communications that take place within a community. These social interactions form norms which are influential in dictating what behaviors are expected in a community and of the system. In this paper, we provide a tool which mines these social interactions (in the form of bug reports) and extract norms of the system, externalizing this information into a codified form that allows others within the community to be aware of without having witnessed the social interactions.},
	doi = {http://dx.doi.org/10.1145/2901739.2901744},
	author = {Daniel Avery and Dam, Hoa Khanh and Savarimuthu, Bastin Tony Roy and Aditya Ghose}
}
@proceedings {1728,
	title = {Mining Software Repositories for Social Norms},
	volume = {2},
	year = {2015},
	pages = {627-630},
	abstract = {Social norms facilitate coordination and cooperation
among individuals, thus enable smoother functioning of social
groups such as the highly distributed and diverse open source
software development (OSSD) communities. In these communities,
norms are mostly implicit and hidden in huge records
of human-interaction information such as emails, discussions
threads, bug reports, commit messages and even source code. This
paper aims to introduce a new line of research on extracting social
norms from the rich data available in software repositories. Initial
results include a study of coding convention violations in JEdit,
ArgoUML and Glassfish projects. It also presents a new lifecycle
model for norms in OSSD communities and demonstrates
how a number of norms extracted from the Python development
community follow this life-cycle model.},
	author = {Dam, Hoa Khanh and Savarimuthu, Bastin Tony Roy and Daniel Avery and Aditya Ghose}
}
