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Determinants of quality, latency, and amount of Stack Overflow answers about recent Android APIs

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  • David Kavaler
  • Vladimir Filkov

Abstract

Stack Overflow is a popular crowdsourced question and answer website for programming-related issues. It is an invaluable resource for software developers; on average, questions posted there get answered in minutes to an hour. Questions about well established topics, e.g., the coercion operator in C++, or the difference between canonical and class names in Java, get asked often in one form or another, and answered very quickly. On the other hand, questions on previously unseen or niche topics take a while to get a good answer. This is particularly the case with questions about current updates to or the introduction of new application programming interfaces (APIs). In a hyper-competitive online market, getting good answers to current programming questions sooner could increase the chances of an app getting released and used. So, can developers anyhow, e.g., hasten the speed to good answers to questions about new APIs? Here, we empirically study Stack Overflow questions pertaining to new Android APIs and their associated answers. We contrast the interest in these questions, their answer quality, and timeliness of their answers to questions about old APIs. We find that Stack Overflow answerers in general prioritize with respect to currentness: questions about new APIs do get more answers, but good quality answers take longer. We also find that incentives in terms of question bounties, if used appropriately, can significantly shorten the time and increase answer quality. Interestingly, no operationalization of bounty amount shows significance in our models. In practice, our findings confirm the value of bounties in enhancing expert participation. In addition, they show that the Stack Overflow style of crowdsourcing, for all its glory in providing answers about established programming knowledge, is less effective with new API questions.

Suggested Citation

  • David Kavaler & Vladimir Filkov, 2018. "Determinants of quality, latency, and amount of Stack Overflow answers about recent Android APIs," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-29, March.
    • Handle: RePEc:plo:pone00:0194139
    DOI: 10.1371/journal.pone.0194139
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    References listed on IDEAS

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    1. Alton Y. K. Chua & Snehasish Banerjee, 2013. "So fast so good: An analysis of answer quality and answer speed in community Question‐answering sites," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(10), pages 2058-2068, October.
    2. Alton Y. K. Chua & Snehasish Banerjee, 2013. "So fast so good: An analysis of answer quality and answer speed in community Question-answering sites," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(10), pages 2058-2068, October.
    3. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
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