Agile software assessment (Invited paper)

2012 ◽  
Author(s):  
Oscar Nierstrasz ◽  
Mircea Lungu
Keyword(s):  
Software Assessment ◽  
Agile Software

Coordination artifacts in Agile Software Development

2020 ◽  
Vol 30 (2) ◽  
pp. 100288 ◽  
Author(s):  
Anna Zaitsev ◽  
Uri Gal ◽  
Barney Tan
Keyword(s):  
Software Development ◽  
Agile Software Development ◽  
Agile Software

scholarly journals Digital Transformation of Forest Services in Finland—A Case Study for Improving Business Processes

Forests ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 781
Author(s):  
Ville Kankaanhuhta ◽  
Tuula Packalen ◽  
Kari Väätäinen
Keyword(s):  
Business Processes ◽  
Innovation Process ◽  
Single Type ◽  
Stand Management ◽  
Young Stand ◽  
Commercial Viability ◽  
Soil Preparation ◽  
Knowledge Intensive ◽  
Agile Software

This case study introduces an innovation and development concept for agile software tools for the improvement of the productivity and customer experience of forest services. This need was recognized in the context of the opening of forest data and the development of service platforms for a forest-based bioeconomy in Finland. The forest services that were studied covered a continuum from a single type of work, e.g., soil preparation and young stand management through timber procurement, to comprehensive forest property management services. The study concentrated on the needs of micro-, small, and medium-sized enterprises (SMEs), which provide either retail- or business to business (B2B) services as sub-contractors. In addition, the challenges and bottlenecks in service processes detected by other stakeholders were considered. The prevailing service processes were conceptually modelled in order to search for opportunities for improvements in business and ecosystem services, i.e., agile software concepts. For example, we examined whether it would be possible to create opportunities for flexible operational models for precision, resilience, and protection of valuable microsites in forests. These software concepts were developed and evaluated in co-operation with the stakeholders in a co-creative workshop. The technological feasibility and commercial viability of the concepts, as well as the desirability for the customer were considered. The results of this business development process—i.e., agile software concepts and their anticipated benefits—were provided for further evaluation. In addition to the practical implications of this kind of innovation process tested, the potential of these kinds of agile tools for the further development of knowledge-intensive service processes was further discussed.

scholarly journals Towards Regulatory-Compliant MLOps: Orazivio’s Journey from a Machine Learning Experiment to a Deployed Certified Medical Product

2021 ◽  
Vol 2 (5) ◽  
Author(s):  
Tuomas Granlund ◽  
Vlad Stirbu ◽  
Tommi Mikkonen
Keyword(s):  
Machine Learning ◽  
Joint Replacement ◽  
Medical Product ◽  
Medical Software ◽  
Continuous Delivery ◽  
Development Approach ◽  
Responding To Change ◽  
Agile Software ◽  
Engineering Practices

AbstractAgile software development embraces change and manifests working software over comprehensive documentation and responding to change over following a plan. The ability to continuously release software has enabled a development approach where experimental features are put to use, and, if they stand the test of real use, they remain in production. Examples of such features include machine learning (ML) models, which are usually pre-trained, but can still evolve in production. However, many domains require more plan-driven approach to avoid hazard to environment and humans, and to mitigate risks in the process. In this paper, we start by presenting continuous software engineering practices in a regulated context, and then apply the results to the emerging practice of MLOps, or continuous delivery of ML features. Furthermore, as a practical contribution, we present a case study regarding Oravizio, first CE-certified medical software for assessing the risks of joint replacement surgeries. Towards the end of the paper, we also reflect the Oravizio experiences to MLOps in regulatory context.

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