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09/15/2023
Enterprise Architecture as an Enabler for a Government Business Ecosystem: Experiences from Finland
Public sector procurement units in the field of ICT suffer from siloed, ...
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08/02/2023
Quantum Software Engineering Challenges from Developers' Perspective: Mapping Research Challenges to the Proposed Workflow Model
Despite the increasing interest in quantum computing, the aspect of deve...
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07/30/2023
Full-Stack Quantum Software in Practice: Ecosystem, Stakeholders and Challenges
The emergence of quantum computing has introduced a revolutionary paradi...
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03/26/2023
Engineering Software Systems for Quantum Computing as a Service: A Mapping Study
Quantum systems have started to emerge as a disruptive technology and en...
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02/26/2023
Towards Human-Bot Collaborative Software Architecting with ChatGPT
Architecting software-intensive systems can be a complex process. It dea...
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02/03/2023
Understanding the Issues, Their Causes and Solutions in Microservices Systems: An Empirical Study
Many small to large organizations have adopted the Microservices Archite...
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11/26/2022
The Role of In-House Procurement According to Finnish Municipalities' Purchase Invoice Data
Public sector is a large consumer of ICT systems and services, used for ...
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10/18/2022
Agile Practices for Quantum Software Development: Practitioners Perspectives
Quantum software systems are emerging software engineering (SE) genre th...
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09/13/2022
Continuous Design Control for Machine Learning in Certified Medical Systems
Continuous software engineering has become commonplace in numerous field...
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02/11/2022
Software Architecture for Quantum Computing Systems – A Systematic Review
Quantum computing systems rely on the principles of quantum mechanics to...
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02/10/2022
Work-from-home and its implication for project management, resilience and innovation – a global survey on software companies
[Context] The COVID-19 pandemic has had a disruptive impact on how peopl...
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10/25/2021
Introducing Traceability in GitHub for Medical Software Development
Assuring traceability from requirements to implementation is a key eleme...
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09/16/2021
On Misbehaviour and Fault Tolerance in Machine Learning Systems
Machine learning (ML) provides us with numerous opportunities, allowing ...
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07/26/2021
Systematic Literature Review of Validation Methods for AI Systems
Context: Artificial intelligence (AI) has made its way into everyday act...
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03/31/2021
Personal Data Gentrification
We live in an era in which the most valued services are not paid for in ...
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03/21/2021
Experiences on Managing Technical Debt with Code Smells and AntiPatterns
Technical debt has become a common metaphor for the accumulation of soft...
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03/17/2021
Extending SOUP to ML Models When DesigningCertified Medical Systems
Software of Unknown Provenance, SOUP, refers to a software component tha...
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03/16/2021
Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can MLOps Help?
Following continuous software engineering practices, there has been an i...
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03/16/2021
MLOps Challenges in Multi-Organization Setup: Experiences from Two Real-World Cases
The emerging age of connected, digital world means that there are tons o...
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03/12/2021
Challenges and Governance Solutions for Data Science Services based on Open Data and APIs
Increasingly common open data and open application programming interface...
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03/11/2021
On Medical Device Software CE Compliance and Conformity Assessment
Manufacturing of medical devices is strictly controlled by authorities, ...
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03/11/2021
On Medical Device Cybersecurity Compliance in EU
The medical device products at the European Union market must be safe an...
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02/11/2021
Amidst Uncertainty – or Not? Decision-Making in Early-Stage Software Startups
It is commonly claimed that the initial stages of any startup business a...
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01/29/2021
Time for AI (Ethics) Maturity Model Is Now
There appears to be a common agreement that ethical concerns are of high...
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07/22/2020
Validation Frameworks for Self-Driving Vehicles: A Survey
As a part of the digital transformation, we interact with more and more ...
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05/06/2020
Testing the Robustness of AutoML Systems
Automated machine learning (AutoML) systems aim at finding the best mach...
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04/30/2020