16 citations · 37 across the 24 of their papers we have counts for
6 papers · 1 filter
Requirements Engineering for Machine Learning: Perspectives from Data Scientists
Andreas Vogelsang, Markus Borg
Machine learning (ML) is used increasingly in real-world applications. In this paper, we describe our ongoing endeavor to define characteristics and challenges unique to Requiremen…
An Autonomous Performance Testing Framework using Self-Adaptive Fuzzy Reinforcement Learning
Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg +2
Test automation brings the potential to reduce costs and human effort, but several aspects of software testing remain challenging to automate. One such example is automated perform…
Sharing of vulnerability information among companies -- a survey of Swedish companies
Thomas Olsson, Martin Hell, Martin Höst +2
Software products are rarely developed from scratch and vulnerabilities in such products might reside in parts that are either open source software or provided by another organizat…
Video Game Development in a Rush: A Survey of the Global Game Jam Participants
Markus Borg, Vahid Garousi, Anas Mahmoud +2
Video game development is a complex endeavor, often involving complex software, large organizations, and aggressive release deadlines. Several studies have reported that periods of…
Towards Structured Evaluation of Deep Neural Network Supervisors
Jens Henriksson, Christian Berger, Markus Borg +4
Deep Neural Networks (DNN) have improved the quality of several non-safety related products in the past years. However, before DNNs should be deployed to safety-critical applicatio…
SZZ Unleashed: An Open Implementation of the SZZ Algorithm -- Featuring Example Usage in a Study of Just-in-Time Bug Prediction for the Jenkins Project
Markus Borg, Oscar Svensson, Kristian Berg +1
Numerous empirical software engineering studies rely on detailed information about bugs. While issue trackers often contain information about when bugs were fixed, details about wh…