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Gabriel Nunez

dblp:124/3013 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1Software 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 testing · 50% Requirements engineering and software design · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software testing › software validation
acceptance testing
0.212014
Legend: an agile DSL toolset for web acceptance testing · ISSTA 2014
Requirements engineering and software design
model-driven engineering
0.212014
Legend: an agile DSL toolset for web acceptance testing · ISSTA 2014

Methods — techniques the papers use, named apart from their topics

model-based automation · 0.2domain-specific language · 0.2
YearPublicationVenuePosition
2014 Legend: an agile DSL toolset for web acceptance testing
abstract
Agile development emphasizes collaborations among customers, business analysts, domain experts, developers, and testers. However, the large scale and rapid pace of many agile projects presents challenges during testing activities. Large sets of test artifacts must be comprehensible and available to various stakeholders, traceable to requirements, and easily maintainable as the software evolves. In this paper we describe Legend, a toolset that leverages domain-specific language to streamline functional testing in agile projects. Some key features of the toolset include test template generation from user stories, model-based automation, test inventory synchronization, and centralized test tagging.
Tariq M. King, Gabriel Nunez, Dionny Santiago, Adam Cando, Cody Mack
ISSTA2
2012 AdDroid: privilege separation for applications and advertisers in Android
abstract
Advertising is a critical part of the Android ecosystem---many applications use one or more advertising services as a source of revenue. To use these services, developers must bundle third-party, binary-only libraries into their applications. In this model, applications and their advertising libraries share permissions. Advertising-supported applications must request multiple privacy-sensitive permissions on behalf of their advertising libraries, and advertising libraries receive access to all of their host applications' other permissions. We conducted a study of the Android Market and found that 49% of Android applications contain at least one advertising library, and these libraries overprivilege 46% of advertising-supported applications. Further, we find that 56% of the applications with advertisements that request location (34% of all applications) do so only because of advertisements. Such pervasive overprivileging is a threat to user privacy. We introduce AdDroid, a privilege separated advertising framework for the Android platform. AdDroid introduces a new advertising API and corresponding advertising permissions for the Android platform. This enables AdDroid to separate privileged advertising functionality from host applications, allowing applications to show advertisements without requesting privacy-sensitive permissions.
Paul Pearce, Adrienne Porter Felt, Gabriel Nunez, David A. Wagner 0001
AsiaCCS3