SC Harvester Papers Database Interface

Co-engineering of Safety and Security Life cycles for Engineering Automotive Security-informed Safe Systems

R. Bramberger, Barbara Gallina, Christoph Schmittner. In: . 2020

Bytecode-Based Multiple Condition Coverage: An Initial Investigation

Srujana Bollina, Gregory Gay. In: . 2020

Generating Diverse Test Suites for Gson Through Adaptive Fitness Function Selection

H. Almulla, Gregory Gay. In: . 2020

Technical Debt: An empirical investigation of its harmfulness and on management strategies in industry

Terese Besker. In: . 2020

Poster: Particle Filter for Handoff Prediction in SDN-based IoT Networks

Iliar Rabet, Shunmuga Priyan Selvaraju, H. Fotouhi, M. Vahabi, M. Björkman. In: . 2020

Early Prediction of Test Case Verdict with Word Embeddings vs. Bag-of-Words

Khaled Al-Sabbagh, M. Staron, Wilhelm Meding, Miroslaw Ochodek. In: . 2020

Autonomously Improving Systems in Industry: A Systematic Literature Review

Rolf Green, J. Bosch, H. Olsson. In: . 2020

From a Data Science Driven Process to a Continuous Delivery Process for Machine Learning Systems

Lucy Ellen Lwakatare, I. Crnkovic, Ellinor Rånge, J. Bosch. In: . 2020

Machine Learning Models for Automatic Labeling: A Systematic Literature Review

Teodor Fredriksson, J. Bosch, H. Olsson. In: . 2020

Abstract: Automatic labeling is a type of classification problem. Classification has been studied with the help of statistical methods for a long time. With the explosion of new better computer processing units (CPUs) and graphical processing units (GPUs) the interest in machine learning has grown exponentially and we can use both statistical learning algorithms as well as deep neural networks (DNNs) to sol...

An End-to-End Framework for Productive Use of Machine Learning in Software Analytics and Business Intelligence Solutions

Iris Figalist, Christoph Elsner, J. Bosch, H. Olsson. In: . 2020

Data Labeling: An Empirical Investigation into Industrial Challenges and Mitigation Strategies

Teodor Fredriksson, D. I. Mattos, J. Bosch, H. Olsson. In: . 2020

A Recipe-based Algorithm for Access Control in Modular Automation Systems

B. Leander, Aida Čaušević, Hans A. Hansson. 2020

Diversity Exposure in Social Recommender Systems: A Social Capital Theory Perspective

Chun-Hua Tsai, J. Huhtamäki, Thomas Olsson, Peter Brusilovsky. In: . 2020

VISUALIZING BIG

Ekaterina Olshannikova, A. Ometov, Y. Koucheryavy, Thomas Olsson. 2020

Systematic Literature study on empirical evidence on Quality Requirements

Thomas Olsson, Séverine Sentilles, Efi Papatheocharous. In: Requirements Engineering. 2020