VLDB 2026 Research / reviewers in the wild / expert
Shahla Shaan Ahmed
dblp:337/2909
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2 · 2 first-author · 2 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Studying and recommending information highlighting in Stack Overflow answers
Shahla Shaan Ahmed, Shaowei Wang 0002, Yuan Tian 0008, Tse-Hsun (Peter) Chen, Haoxiang Zhang 0001 |
Inf. Softw. Technol. | 1 |
| 2022 | A First Look at Information Highlighting in Stack Overflow AnswersabstractTechnical question and answer (Q&A) sites such as Stack Overflow (SO) have become increasingly important for software developers to share knowledge and contribute to communities. Despite their success and prevalence, navigating the knowledge on these sites remains challenging. To make the posts vivid to users, the Stack Overflow platform allows users to write and edit posts with Markdown or HTML, so that users can leverage various formatting styles (e.g., bold, italic, and code) to highlight the important information.In this study, we carry out the first large-scale exploratory study on the information highlighting in SO answers. We observe that overall, information highlighting is prevalent on SO, i.e., 47.6% of the answers have information highlighted. More specifically, 38.5%, 11.3%, 7.2% of the answers use Code, Bold, and Italic, respectively. Besides source code related content (e.g., identifiers, and programming keywords), users also frequently highlight updates (e.g., updates of answers), caveats (i.e., a reminder or warn of in which context or condition the provided solution works or does not work), and reference. Our findings provide insights for future research, e.g., future research should consider the highlighted content for the downstream tasks that leverage information from the SO answers. Shahla Shaan Ahmed, Shaowei Wang 0002, Haoxiang Zhang 0001, Tse-Hsun (Peter) Chen, Yuan Tian 0008 |
ICSME | 1 |