Demo Data from EDBT 2026 / reviewers in the wild / expert
Zhenyu Lei 0006
dblp:229/5143-6
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
0009-0002-8271-2441ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Software engineering, system software, and programming languages
1 paper |
Program synthesis and code generation · 50% Empirical software engineering · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program synthesis and code generation
code completion |
0.7 | 1 | 2023 | How Practitioners Expect Code Completion? · ESEC/SIGSOFT FSE 2023 |
Empirical software engineering
developer studies |
0.7 | 1 | 2023 | How Practitioners Expect Code Completion? · ESEC/SIGSOFT FSE 2023 |
Methods — techniques the papers use, named apart from their topics
survey · 0.7literature review · 0.7interview study · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | How Practitioners Expect Code Completion?abstractCode completion has become a common practice for programmers during their daily programming activities. It automatically predicts the next tokens or statements that the programmers may use. Code completion aims to substantially save keystrokes and improve the programming efficiency for programmers. Although there exists substantial research on code completion, it is still unclear what practitioner expectations are on code completion and whether these expectations are met by the existing research. To address these questions, we perform a study by first interviewing 15 professionals and then surveying 599 practitioners from 18 IT companies about their expectations on code completion. We then compare the practitioner expectations with the existing research by conducting a literature review of papers on code completion published in major publication venues from 2012 to 2022. Based on the comparison, we highlight the directions desirable for researchers to invest efforts toward developing code completion techniques for meeting practitioner expectations. Chaozheng Wang, Cuiyun Gao 0001, Tao Xie 0001, Hailiang Huang 0004, Zhenyu Lei 0006, Yuetang Deng |
ESEC/SIGSOFT FSE | 7 |