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

140 citations · 198 across the 6 of their papers we have counts for

collaborators

7 papers

cs.SE2021★ 32 cited

On Misbehaviour and Fault Tolerance in Machine Learning Systems

Lalli Myllyaho, Mikko Raatikainen, Tomi Männistö +2

Machine learning (ML) provides us with numerous opportunities, allowing ML systems to adapt to new situations and contexts. At the same time, this adaptability raises uncertainties…

cs.SE2021★ 140 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.SE2021★ 9 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.SE2021★ 14 cited

Improved management of issue dependencies in issue trackers of large collaborative projects

Mikko Raatikainen, Quim Motger, Clara Marie Lüders +7

Issue trackers, such as Jira, have become the prevalent collaborative tools in software engineering for managing issues, such as requirements, development tasks, and software bugs.…

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★ 3 cited

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…