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Enabling Data-Driven API Design with Community Usage Data: A Need-Finding Study

Authors:

Björn Hartmann,

Elena L. GlassmanAuthors Info & Claims

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Pages 1 - 13

https://doi.org/10.1145/3313831.3376382

Published: 23 April 2020 Publication History

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Abstract

APIs are becoming the fundamental building block of modern software and their usability is crucial to programming efficiency and software quality. Yet API designers find it hard to gather and interpret user feedback on their APIs. To close the gap, we interviewed 23 API designers from 6 companies and 11 open-source projects to understand their practices and needs. The primary way of gathering user feedback is through bug reports and peer reviews, as formal usability testing is prohibitively expensive to conduct in practice. Participants expressed a strong desire to gather real-world use cases and understand users' mental models, but there was a lack of tool support for such needs. In particular, participants were curious about where users got stuck, their workarounds, common mistakes, and unanticipated corner cases. We highlight several opportunities to address those unmet needs, including developing new mechanisms that systematically elicit users' mental models, building mining frameworks that identify recurring patterns beyond shallow statistics about API usage, and exploring alternative design choices made in similar libraries.

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The auxiliary material includes (1) the interview guide and consent form and (2) a complete list of codes and themes in six meta categories.

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Cited By

Schlagowski RMertes SNazarenko DDauber AAndré E(2024)XR Composition in the Wild: The Impact of User Environments on Creativity, UX and Flow during Music Production in Augmented RealityProceedings of the 19th International Audio Mostly Conference: Explorations in Sonic Cultures10.1145/3678299.3678314(152-161)Online publication date: 18-Sep-2024
https://dl.acm.org/doi/10.1145/3678299.3678314
Nam DMacvean AMyers BVasilescu B(2024)Understanding Documentation Use Through Log Analysis: A Case Study of Four Cloud ServicesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642721(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642721
Kang HWang KKim MRoychoudhury APaiva AAbreu RStorey M(2024)Scaling Code Pattern Inference with Interactive What-If AnalysisProceedings of the IEEE/ACM 46th International Conference on Software Engineering10.1145/3597503.3639193(1-12)Online publication date: 20-May-2024
https://dl.acm.org/doi/10.1145/3597503.3639193
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Index Terms

Enabling Data-Driven API Design with Community Usage Data: A Need-Finding Study
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI
    2. Interactive systems and tools

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cover image ACM Conferences

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

April 2020

10688 pages

ISBN:9781450367080

DOI:10.1145/3313831

General Chairs:
Regina Bernhaupt
Eindhoven University of Technology, Netherlands
,
Florian 'Floyd' Mueller
Monash University, Australia
,
David Verweij
Newcastle University, UK
,
Josh Andres
RMIT, Australia
,
Program Chairs:
Joanna McGrenere
University of British Columbia, Canada
,
Andy Cockburn
University of Canterbury, New Zealand
,
Ignacio Avellino
University of Maryland Baltimore County, USA
,
Alix Goguey
Grenoble Alpes University, France
,
Pernille Bjørn
University of Copenhagen, Denmark
,
Shengdong (Shen) Zhao
National University of Singapore, Singapore
,
Briane Paul Samson
Future University Hakodate, Japan & De La Salle University, Philippines
,
Rafal Kocielnik
University of Washington, USA

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Published: 23 April 2020

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CHI '20: CHI Conference on Human Factors in Computing Systems

April 25 - 30, 2020

HI, Honolulu, USA

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Cited By

Schlagowski RMertes SNazarenko DDauber AAndré E(2024)XR Composition in the Wild: The Impact of User Environments on Creativity, UX and Flow during Music Production in Augmented RealityProceedings of the 19th International Audio Mostly Conference: Explorations in Sonic Cultures10.1145/3678299.3678314(152-161)Online publication date: 18-Sep-2024
https://dl.acm.org/doi/10.1145/3678299.3678314
Nam DMacvean AMyers BVasilescu B(2024)Understanding Documentation Use Through Log Analysis: A Case Study of Four Cloud ServicesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642721(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642721
Kang HWang KKim MRoychoudhury APaiva AAbreu RStorey M(2024)Scaling Code Pattern Inference with Interactive What-If AnalysisProceedings of the IEEE/ACM 46th International Conference on Software Engineering10.1145/3597503.3639193(1-12)Online publication date: 20-May-2024
https://dl.acm.org/doi/10.1145/3597503.3639193
Nam DMacvean AHellendoorn VVasilescu BMyers BRoychoudhury APaiva AAbreu RStorey M(2024)Using an LLM to Help With Code UnderstandingProceedings of the IEEE/ACM 46th International Conference on Software Engineering10.1145/3597503.3639187(1-13)Online publication date: 20-May-2024
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Mahmoud MWalker RDenzinger J(2024)API usage templates via structural generalizationJournal of Systems and Software10.1016/j.jss.2024.111974210:COnline publication date: 1-Apr-2024
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Schlagowski RNazarenko DCan YGupta KMertes SBillinghurst MAndré E(2023)Wish You Were Here: Mental and Physiological Effects of Remote Music Collaboration in Mixed RealityProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581162(1-16)Online publication date: 19-Apr-2023
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Zimmerle CGama KCastor FFilho JLo DMcIntosh SNovielli N(2022)Mining the usage of reactive programming APIsProceedings of the 19th International Conference on Mining Software Repositories10.1145/3524842.3527966(203-214)Online publication date: 23-May-2022
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