Demo Data from EDBT 2026 / reviewers in the wild / expert
Lakhdar Meftah
dblp:207/7194
· DBLP profile ↗
4ranked-venue papers
4as first author
1since 2021 · last 2021
0000-0002-0292-3795ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author
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 testing · 100% | |
| Computer networks
1 paper |
Wireless networking · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing › software validation
acceptance testing |
0.3 | 1 | 2017 | ANDROFLEET: testing WiFi peer-to-peer mobile apps in the large · ASE 2017 |
Software testing
mobile application testing |
0.3 | 1 | 2017 | ANDROFLEET: testing WiFi peer-to-peer mobile apps in the large · ASE 2017 |
Wireless networking
peer-to-peer communication |
0.1 | 1 | 2017 | ANDROFLEET: testing WiFi peer-to-peer mobile apps in the large · ASE 2017 |
Wireless networking › WLAN
wi-fi direct |
0.1 | 1 | 2017 | ANDROFLEET: testing WiFi peer-to-peer mobile apps in the large · ASE 2017 |
Methods — techniques the papers use, named apart from their topics
device emulation · 0.6black-box testing · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Empowering mobile crowdsourcing apps with user privacy control
Lakhdar Meftah, Romain Rouvoy, Isabelle Chrisment |
J. Parallel Distributed Comput. | 1 |
| 2020 | Capturing Privacy-Preserving User Contexts with IndoorHash
Lakhdar Meftah, Romain Rouvoy, Isabelle Chrisment |
DAIS | 1 |
| 2019 | FOUGERE: User-Centric Location Privacy in Mobile Crowdsourcing Apps
Lakhdar Meftah, Romain Rouvoy, Isabelle Chrisment |
DAIS | 1 |
| 2017 | ANDROFLEET: testing WiFi peer-to-peer mobile apps in the largeabstractWiFi P2P allows mobile apps to connect to each other via WiFi without an intermediate access point. This communication mode is widely used by mobile apps to support interactions with one or more devices simultaneously. However, testing such P2P apps remains a challenge for app developers as i) existing testing frameworks lack support for WiFi P2P, and ii) WiFi P2P testing fails to scale when considering a deployment on more than two devices. In this paper, we therefore propose an acceptance testing framework, named Androfleet, to automate testing of WiFi P2P mobile apps at scale. Beyond the capability of testing point-to-point interactions under various conditions, An-drofleet supports the deployment and the emulation of a fleet of mobile devices as part of an alpha testing phase in order to assess the robustness of a WiFi P2P app once deployed in the field. To validate Androfleet, we demonstrate the detection of failing black-box acceptance tests for WiFi P2P apps and we capture the conditions under which such a mobile app can correctly work in the field. The demo video of Androfleet is made available from https://youtu.be/gJ5_Ed7XL04. Lakhdar Meftah, María Gómez 0001, Romain Rouvoy, Isabelle Chrisment |
ASE | 1 |