Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Ghanavati, Sepideh"'
Mobile applications (apps) are often developed by only a small number of developers with limited resources, especially in the early years of the app's development. In this setting, many requirements acquisition activities, such as interviews, are cha
Externí odkaz:
http://arxiv.org/abs/2408.03395
Autor:
KC, Pragyan, Ghandiparsi, Rambod, Slavin, Rocky, Ghanavati, Sepideh, Breaux, Travis, Hosseini, Mitra Bokaei
The widespread use of mobile applications has driven the growth of the industry, with companies relying heavily on user data for services like targeted advertising and personalized offerings. In this context, privacy regulations such as the General D
Externí odkaz:
http://arxiv.org/abs/2407.09592
Publikováno v:
IEEE International Requirements Engineering Conference, 2024
Language models that can learn a task at inference time, called in-context learning (ICL), show increasing promise in natural language inference tasks. In ICL, a model user constructs a prompt to describe a task with a natural language instruction an
Externí odkaz:
http://arxiv.org/abs/2404.12576
With the increase in the number of privacy regulations, small development teams are forced to make privacy decisions on their own. In this paper, we conduct a mixed-method survey study, including statistical and qualitative analysis, to evaluate the
Externí odkaz:
http://arxiv.org/abs/2404.01283
Autor:
Delile, Zack, Radel, Sean, Godinez, Joe, Engstrom, Garrett, Brucker, Theo, Young, Kenzie, Ghanavati, Sepideh
Publikováno v:
2023 IEEE 31st International Requirements Engineering Conference Workshops (REW)
Stack Overflow and other similar forums are used commonly by developers to seek answers for their software development as well as privacy-related concerns. Recently, ChatGPT has been used as an alternative to generate code or produce responses to dev
Externí odkaz:
http://arxiv.org/abs/2306.11174
Mobile applications are required to give privacy notices to users when they collect or share personal information. Creating consistent and concise privacy notices can be a challenging task for developers. Previous work has attempted to help developer
Externí odkaz:
http://arxiv.org/abs/2305.15314
This tool demonstration presents a research toolkit for a language model of Java source code. The target audience includes researchers studying problems at the granularity level of subroutines, statements, or variables in Java. In contrast to many ex
Externí odkaz:
http://arxiv.org/abs/2305.08286
Mobile applications are required to give privacy notices to the users when they collect or share personal information. Creating consistent and concise privacy notices can be a challenging task for developers. Previous work has attempted to help devel
Externí odkaz:
http://arxiv.org/abs/2305.06509
Publikováno v:
Joint Proceedings of REFSQ-2023 Workshops, Doctoral Symposium, Posters & Tools Track, and Journal Early Feedback Track. Co-located with REFSQ 2023. Barcelona, Catalunya, Spain, April 17, 2023
With the growing global emphasis on regulating the protection of personal information and increasing user expectation of the same, developing with privacy in mind is becoming ever more important. In this paper, we study the concerns, questions, and s
Externí odkaz:
http://arxiv.org/abs/2304.07650
The massive growth of the Internet of Things (IoT) as a network of interconnected entities [18], brings up new challenges in terms of privacy and security requirements to the traditional software engineering domain [4]. To protect the individuals' pr
Externí odkaz:
http://arxiv.org/abs/1910.04133