Demo Data from EDBT 2026 / reviewers in the wild / expert
Paul Wat
dblp:225/0238
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1
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 |
Software maintenance and evolution · 50% Program analysis · 50% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Memory systems · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution › software performance engineering
mobile application performance |
0.3 | 1 | 2018 | Empirically assessing opportunities for prefetching and caching in mobile apps · ASE 2018 |
Program analysis
static analysis |
0.3 | 1 | 2018 | Empirically assessing opportunities for prefetching and caching in mobile apps · ASE 2018 |
Memory systems
cache |
0.1 | 1 | 2018 | Empirically assessing opportunities for prefetching and caching in mobile apps · ASE 2018 |
Methods — techniques the papers use, named apart from their topics
static program analysis · 0.7HTTP request characterization · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Empirically assessing opportunities for prefetching and caching in mobile appsabstractNetwork latency in mobile software has a large impact on user experience, with potentially severe economic consequences. Prefetching and caching have been shown effective in reducing the latencies in browser-based systems. However, those techniques cannot be directly applied to the emerging domain of mobile apps because of the differences in network interactions. Moreover, there is a lack of research on prefetching and caching techniques that may be suitable for the mobile app domain, and it is not clear whether such techniques can be effective or whether they are even feasible. This paper takes the first step toward answering these questions by conducting a comprehensive study to understand the characteristics of HTTP requests in over 1,000 popular Android apps. Our work focuses on the prefetchability of requests using static program analysis techniques and cacheability of resulting responses. We find that there is a substantial opportunity to leverage prefetching and caching in mobile apps, but that suitable techniques must take into account the nature of apps’ network interactions and idiosyncrasies such as untrustworthy HTTP header information. Our observations provide guidelines for developers to utilize prefetching and caching schemes in app development, and motivate future research in this area. Yixue Zhao, Paul Wat, Marcelo Schmitt Laser, Nenad Medvidovic |
ASE | 2 |