2 research outputs found
Approach for GDPR Compliant Detection of COVID-19 Infection Chains
While prospect of tracking mobile devices' users is widely discussed all over
European countries to counteract COVID-19 propagation, we propose a Bloom
filter based construction providing users' location privacy and preventing mass
surveillance. We apply a solution based on Bloom filters data structure that
allows a third party, a government agency, to perform some privacy-preserving
set relations on a mobile telco's access logfile. By computing set relations,
the government agency, given the knowledge of two identified persons, has an
instrument that provides a (possible) infection chain from the initial to the
final infected user no matter at which location on a worldwide scale they are.
The benefit of our approach is that intermediate possible infected users can be
identified and subsequently contacted by the agency. With such approach, we
state that solely identities of possible infected users will be revealed and
location privacy of others will be preserved. To this extent, it meets General
Data Protection Regulation (GDPR)requirements in this area
Opinion Mining for Software Development: A Systematic Literature Review
Opinion mining, sometimes referred to as sentiment analysis, has gained increasing attention in software engineering (SE) studies.
SE researchers have applied opinion mining techniques in various contexts, such as identifying developers’ emotions expressed in
code comments and extracting users’ critics toward mobile apps. Given the large amount of relevant studies available, it can take
considerable time for researchers and developers to figure out which approaches they can adopt in their own studies and what perils
these approaches entail.
We conducted a systematic literature review involving 185 papers. More specifically, we present 1) well-defined categories of opinion
mining-related software development activities, 2) available opinion mining approaches, whether they are evaluated when adopted in
other studies, and how their performance is compared, 3) available datasets for performance evaluation and tool customization, and 4)
concerns or limitations SE researchers might need to take into account when applying/customizing these opinion mining techniques.
The results of our study serve as references to choose suitable opinion mining tools for software development activities, and provide
critical insights for the further development of opinion mining techniques in the SE domain