activity
20182021
most citedSystematic Literature Review of Validation Methods for AI Systems

140 citations · 149 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SE2021140 cited

Systematic Literature Review of Validation Methods for AI Systems

Lalli Myllyaho, Mikko Raatikainen, Tomi Männistö +2

Context: Artificial intelligence (AI) has made its way into everyday activities, particularly through new techniques such as machine learning (ML). These techniques are implementab…

cs.SE20219 cited

Challenges and Governance Solutions for Data Science Services based on Open Data and APIs

Juha-Pekka Joutsenlahti, Timo Lehtonen, Mikko Raatikainen +2

Increasingly common open data and open application programming interfaces (APIs) together with the progress of data science -- such as artificial intelligence (AI) and especially m…

cs.SE2021

Towards Utility-based Prioritization of Requirements in Open Source Environments

Alexander Felfernig, Martin Stettinger, Müslüm Atas +5

Requirements Engineering in open source projects such as Eclipse faces the challenge of having to prioritize requirements for individual contributors in a more or less unobtrusive…

cs.SE2019

OpenReq Issue Link Map: A Tool to Visualize Issue Links in Jira

Clara Marie Lüders, Mikko Raatikainen, Joaquim Motger +1

Managing software projects gets more and more complicated with an increasing project and product size. To cope with this complexity, many organizations use issue tracking systems,…

cs.SE2018

Needs and Challenges for a Platform to Support Large-scale Requirements Engineering. A Multiple Case Study

Davide Fucci, Cristina Palomares, Dolors Costal +12

Background: Requirement engineering is often considered a critical activity in system development projects. The increasing complexity of software, as well as number and heterogenei…