Data-driven Risk Management for Requirements Engineering: An Automated Approach based on Bayesian Networks

Florian Wiesweg , Andreas Vogelsang and Daniel Mendez

Proc. 28th International Requirements Engineering Conference,

2020

url: https://arxiv.org/abs/2007.03358

In addition to the cookies necessary for the operation and smooth functioning of our website, fortiss (see Imprint) uses marketing cookies to analyse and improve the website content. With the help of these cookies, user flow can be analyzed and assessed through pseudonymized data from website users. The types of cookies are described in the Privacy Policy. There you can change your consent at any time.

Mandatory

These cookies are needed for a smooth operation of our website.

Name	Purpose	Lifetime	Type	Provider
CookieConsent	Saves your consent to using cookies.	1 year	HTML	Website

Marketing

With the help of these cookies we strive to improve our offer for our users. By means of anonymized data of website users we can optimize the user flow. This enables us to improve ads and website content.

Name	Purpose	Lifetime	Type	Provider
_pk_id	Used to store a few details about the user such as the unique visitor ID.	13 months	HTML	Matomo
_pk_ref	Used to store the attribution information, the referrer initially used to visit the website.	6 months	HTML	Matomo
_pk_ses	Short lived cookie used to temporarily store data for the visit.	30 minutes	HTML	Matomo
_pk_cvar	Short lived cookie used to temporarily store data for the visit.	30 minutes	HTML	Matomo
_pk_hsr	Short lived cookie used to temporarily store data for the visit.	30 minutes	HTML	Matomo