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On the impact of social network information diversity on end-user programming productivity: a foraging-theoretic study
| Content Provider | ACM Digital Library |
|---|---|
| Author | Niu, Nan Wagner, Michael Jin, Xiaoyu |
| Abstract | Social network information (SNI) plays an important role in providing hints to help facilitate daily software engineering tasks, especially for end-user programmers. Social information foraging theory quantitatively predicts the effect of diversity of hints on productivity. In this paper, we explore how to best leverage this theoretical prediction to support software change tasks. Specifically, we analyze the data from an observational study involving 20 bioinformatics researchers using SNI to solve software change tasks. We further classify the SNI support by using 5 diversity categories: social network type (e.g., wiki, Q&A, etc.), contributor role (e.g., core, marginal, etc.), number of contributors, information needs concerning software architecture, and information needs organized by complexity. Our results show that the contributor role best manifests the hint diversity, and its incorporation with architectural considerations could further improve productivity. Our research offers principled guidelines for supporting better use of SNI in end-user programming. . |
| Starting Page | 15 |
| Ending Page | 21 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781450343978 |
| DOI | 10.1145/2993283.2993284 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-11-14 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Diversity of hints Social information foraging theory End-user programming Social network information |
| Content Type | Text |
| Resource Type | Article |
