Debugging Database Queries: A Survey of Tools, Techniques, and Users

要旨

Database management systems (or DBMSs) have been around for decades, and yet are still difficult to use, particularly when trying to identify and fix errors in user programs (or queries). We seek to understand what methods have been proposed to help people debug database queries, and whether these techniques have ultimately been adopted by DBMSs (and users). We conducted an interdisciplinary review of 112 papers and tools from the database, visualisation and HCI communities. To better understand whether academic and industry approaches are meeting the needs of users, we interviewed 20 database users (and some designers), and found surprising results. In particular, there seems to be a wide gulf between users' debugging strategies and the functionality implemented in existing DBMSs, as well as proposed in the literature. In response, we propose new design guidelines to help system designers to build features that more closely match users debugging strategies.

キーワード
Debugging Databases
Literature Review
Empirical Study
Survey
Visualization
著者
Sneha Gathani
University of Maryland, College Park, College Park, MD, USA
Peter Lim
University of Maryland, College Park, College Park, MD, USA
Leilani Battle
University of Maryland, College Park, College Park, MD, USA
DOI

10.1145/3313831.3376485

論文URL

https://doi.org/10.1145/3313831.3376485

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: APIs & debugging

Paper session
312 NI'IHAU
4 件の発表
2020-04-30 23:00:00
2020-05-01 00:15:00
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