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Paul Wat

dblp:225/0238 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Software maintenance and evolution › software performance engineering
mobile application performance
0.312018
Empirically assessing opportunities for prefetching and caching in mobile apps · ASE 2018
Program analysis
static analysis
0.312018
Empirically assessing opportunities for prefetching and caching in mobile apps · ASE 2018
Memory systems
cache
0.112018
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
YearPublicationVenuePosition
2018 Empirically assessing opportunities for prefetching and caching in mobile apps
abstract
Network 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
ASE2