Search Results for author: Michael Felderer

Found 13 papers, 1 papers with code

Automatic Error Classification and Root Cause Determination while Replaying Recorded Workload Data at SAP HANA

no code implementations16 May 2022 Neetha Jambigi, Thomas Bach, Felix Schabernack, Michael Felderer

However, we experienced that such replays can produce a large amount of false positive alerts that make the results unreliable or time consuming to analyze.

What is Software Quality for AI Engineers? Towards a Thinning of the Fog

no code implementations23 Mar 2022 Valentina Golendukhina, Valentina Lenarduzzi, Michael Felderer

Thus, the goal of this study is to investigate the software quality assurance strategies adopted during the development, integration, and maintenance of AI/ML components and code.

Collaborative AI Needs Stronger Assurances Driven by Risks

no code implementations1 Dec 2021 Jubril Gbolahan Adigun, Matteo Camilli, Michael Felderer, Andrea Giusti, Dominik T Matt, Anna Perini, Barbara Russo, Angelo Susi

Collaborative AI systems (CAISs) aim at working together with humans in a shared space to achieve a common goal.

Towards Risk Modeling for Collaborative AI

no code implementations12 Mar 2021 Matteo Camilli, Michael Felderer, Andrea Giusti, Dominik T. Matt, Anna Perini, Barbara Russo, Angelo Susi

Thus, building such systems with strong assurances of compliance with requirements domain specific standards and regulations is of greatest importance.

Compliance Requirements in Large-Scale Software Development: An Industrial Case Study

no code implementations2 Mar 2021 Muhammad Usman, Michael Felderer, Michael Unterkalmsteiner, Eriks Klotins, Daniel Mendez, Emil Alegroth

Regulatory compliance is a well-studied area, including research on how to model, check, analyse, enact, and verify compliance of software.

Software Engineering

Controlled Experimentation in Continuous Experimentation: Knowledge and Challenges

no code implementations10 Feb 2021 Florian Auer, Rasmus Ros, Lukas Kaltenbrunner, Per Runeson, Michael Felderer

Finally, we were interested in the challenges and benefits reported of continuous experimentation.

Software Engineering

Technical Debt and Waste in Non-Functional Requirements Documentation: An Exploratory Study

no code implementations27 Sep 2019 Gabriela Robiolo, Ezequiel Scott, Santiago Matalonga, Michael Felderer

Aims: The goal is to explore indicators of potential Technical Debt and Waste in NFRs documentation.

Software Engineering

Specification-Driven Predictive Business Process Monitoring

no code implementations20 Apr 2019 Ario Santoso, Michael Felderer

Differently from previous studies, instead of focusing on a particular prediction task, we present an approach to deal with various prediction tasks based on the given specification of the desired prediction tasks.

NLP-assisted software testing: A systematic mapping of the literature

no code implementations2 Jun 2018 Vahid Garousi, Sara Bauer, Michael Felderer

After compiling an initial pool of 95 papers, we conducted a systematic voting, and our final pool included 67 technical papers.

A survey on software testability

no code implementations7 Jan 2018 Vahid Garousi, Michael Felderer, Feyza Nur Kilicaslan

Results: The area of software testability has been comprehensively studied by researchers and practitioners.

Software Engineering

Cannot find the paper you are looking for? You can Submit a new open access paper.