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Lakhdar Meftah

dblp:207/7194 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Software testing › software validation
acceptance testing
0.312017
ANDROFLEET: testing WiFi peer-to-peer mobile apps in the large · ASE 2017
Software testing
mobile application testing
0.312017
ANDROFLEET: testing WiFi peer-to-peer mobile apps in the large · ASE 2017
Wireless networking
peer-to-peer communication
0.112017
ANDROFLEET: testing WiFi peer-to-peer mobile apps in the large · ASE 2017
Wireless networking › WLAN
wi-fi direct
0.112017
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
YearPublicationVenuePosition
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
DAIS1
2019 FOUGERE: User-Centric Location Privacy in Mobile Crowdsourcing Apps
Lakhdar Meftah, Romain Rouvoy, Isabelle Chrisment
DAIS1
2017 ANDROFLEET: testing WiFi peer-to-peer mobile apps in the large
abstract
WiFi 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
ASE1