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Issues in Social Software Engineering

Issues in Social Software Engineering

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People Involved:

Ali Sajedi Badashian

Abram Hindle

Eleni Stroulia


Starting at September 2013, this project aims at working on issues (bug reports) in software engineering projects. The goal is to develop a recommender system that recommends and ranks developers to be assigned to a given bug report. This system takes into account the socio-technical contributions of the users in the form of development and social contributions. The development contributions include bug fixing and documentation and the social contributions are in the form of question answering or text communications in the version control system (vcs).

Up to this point, we built a recommender system for Github issues for a project based on its developers' contributions in Stack Overflow and Github [2]. The current project works based on a social, subject aware metric, SSA_Z-score that is mainly based on users' posts in Stack overflow. We are developing this project to observe more development tasks as well as social contributions in Github. Moreover, we are building multidimentional optimization models based on economics of bug triaging that considers real world constraints (e.g., developers' overload) in bug triaging.


Awards and honors:

This work has been supported by GRAND Postgraduate Scholar Award and AITF Scholarship.


Publications

[3] Ali Sajedi B, Vraj Shah, and Eleni Stroulia. Github’s data adaptor, an eclipse plugin. In Proceedings of the 2015 Conference of the Center for Advanced Studies on Collaborative Research, CASCON ’15, Markham, Toronto, Canada, 2015. IBM/ACM.

[2] Ali Sajedi B, Abram Hindle, and Eleni Stroulia. Crowdsourced bug triaging. In Software Maintenance and Evolution (ICSME), 2015 IEEE International Conference on, Bremen, Germany, 2015. IEEE.

[1] Ali Sajedi B, Afsaneh Esteki, Ameneh GholiPour, Abram Hindle, and Eleni Stroulia. Involvement, contribution and influence in github and stack overflow. In Proceedings of the 2014 Conference of the Center for Advanced Studies on Collaborative Research, CASCON ’14, Markham, Toronto, Canada, 2014. ACM.