tocauthor: Singer_L* : Human-Computer Interaction Bibliography Search

The Social Side of Software Platform Ecosystems Software and Programming Tools / de Souza, Cleidson R. B. / Filho, Fernando Figueira / Miranda, Müller / Ferreira, Renato Pina / Treude, Christoph / Singer, Leif Proceedings of the ACM CHI'16 Conference on Human Factors in Computing Systems 2016-05-07 v.1 p.3204-3214

ACM Digital Library Link

Summary: Software ecosystems as a paradigm for large-scale software development encompass a complex mix of technical, business, and social aspects. While significant research has been conducted to understand both the technical and business aspects, the social aspects of software ecosystems are less well understood. To close this gap, this paper presents the results of an empirical study aimed at understanding the influence of social aspects on developers' participation in software ecosystems. We conducted 25 interviews with mobile software developers and an online survey with 83 respondents from the mobile software development community. Our results point out a complex social system based on continued interaction and mutual support between different actors, including developers, friends, end users, developers from large companies, and online communities. These findings highlight the importance of social aspects in the sustainability of software ecosystems both during the initial adoption phase as well as for long-term permanence of developers.

Analyzing the friendliness of exchanges in an online software developer community Position Papers / Cleary, B. / Gomez, C. / Storey, M.-A. / Singer, L. / Treude, C. Proceedings of the 2013 International Workshop on Cooperative and Human Aspects of Software Engineering 2013-05-25 p.159-160

Keywords: Web sites

Keywords: human computer interaction

Keywords: software engineering

Keywords: Stack Exchange friendliness analysis

Keywords: Stack Exchange organization

Keywords: Stack Overflow community

Keywords: Stack Overflow database

Keywords: automatic unfriendly comment identification

Keywords: comment dataset

Keywords: comment repetition degree

Keywords: developer community managers

Keywords: heuristics

Keywords: online software developer community

Keywords: Buildings

Keywords: Communities

Keywords: Databases

Keywords: Educational institutions

Keywords: Organizations

Keywords: Software

Keywords: Vocabulary

dx.doi.org/10.1109/CHASE.2013.6614756

Summary: Many online communities struggle with conflicts -- e.g. between newcomers and elders -- at some point. In July 2012, the Stack Exchange organization attempted to assess the overall "niceness" of the Stack Overflow community by rating the "friendliness" of 7,000 comments made on the site over a 4 year period. We performed a deeper examination of the comment dataset published by Stack Exchange. We find a high degree of comment repetition in the Stack Overflow database and suggest some simple heuristics that may help in automatically identifying unfriendly comments, providing managers of developer communities with simple means that could counter hostility.

Mutual assessment in the social programmer ecosystem: an empirical investigation of developer profile aggregators Source work: social factors in software development / Singer, Leif / Filho, Fernando Figueira / Cleary, Brendan / Treude, Christoph / Storey, Margaret-Anne / Schneider, Kurt Proceedings of ACM CSCW'13 Conference on Computer-Supported Cooperative Work 2013-02-23 v.1 p.103-116

ACM Digital Library Link

Summary: The multitude of social media channels that programmers can use to participate in software development has given rise to online developer profiles that aggregate activity across many services. Studying members of such developer profile aggregators, we found an ecosystem that revolves around the social programmer. Developers are assessing each other to evaluate whether other developers are interesting, worth following, or worth collaborating with. They are self-conscious about being assessed, and thus manage their public images. They value passion for software development, new technologies, and learning. Some recruiters participate in the ecosystem and use it to find candidates for hiring; other recruiters struggle with the interpretation of signals and issues of trust. This mutual assessment is changing how software engineers collaborate and how they advance their skills.