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2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE) (2017)
Urbana, IL, USA
Oct. 30, 2017 to Nov. 3, 2017
ISBN: 978-1-5386-3976-4
pp: 159-170
Gias Uddin , School of Computer Science, McGill University, Montréal, QC, Canada
Foutse Khomh , SWAT Lab Polytechnique, Montréal, QC, Canada
With the proliferation of online developer forums as informal documentation, developers often share their opinions about the APIs they use. However, given the plethora of opinions available for an API in various online developer forums, it can be challenging for a developer to make informed decisions about the APIs. While automatic summarization of opinions have been explored for other domains (e.g., cameras, cars), we found little research that investigates the benefits of summaries of public API reviews. In this paper, we present two algorithms (statistical and aspect-based) to summarize opinions about APIs. To investigate the usefulness of the techniques, we developed, Opiner, an online opinion summarization engine that presents summaries of opinions using both our proposed techniques and existing six off-the-shelf techniques. We investigated the usefulness of Opiner using two case studies, both involving professional software engineers. We found that developers were interested to use our proposed summaries much more frequently than other summaries (daily vs once a year) and that while combined with Stack Overflow, Opiner helped developers to make the right decision with more accuracy and confidence and in less time.
Java, Message systems, Software, Heuristic algorithms, Cameras, Engines

G. Uddin and F. Khomh, "Automatic summarization of API reviews," 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE), Urbana, IL, USA, 2017, pp. 159-170.
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