International audienceThe acceptance and usefulness of simulation models are often limited by the efficiency, transparency, reproducibility, and reliability of the modelling process. We address these issues by suggesting that modellers (1) "trace" the iterative modelling process by keeping a modelling notebook corresponding to the laboratory notebooks used by empirical researchers, (2) use a standardized notebook structure and terminology based on the existing TRACE documentation framework, and (3) use their notebooks to compile TRACE documents that supplement publications and reports. These practices have benefits for model developers, users, and stakeholders: improved and efficient model design, analysis, testing, and application; increas...
Abstract—When modeling requirements, software analysts have to choose the relevant modeling construc...
Data is particularly valuable to scientists when details of its provenance are known. The traditiona...
Typically, simulation project is highly complex process, which relies heavily on the expertise and k...
International audienceThe acceptance and usefulness of simulation models are often limited by the ef...
The acceptance and usefulness of simulation models are often limited by the efficiency, transparency...
The potential of ecological models for supporting environmental decision making is increasingly ackn...
The documentation practice for machine-learned (ML) models often falls short of established practice...
Using expertise and combining functionalities from different domains has led to a significant increa...
The workflow of running simulations, converting from model data format to a common data format and t...
In this paper we describe how we have adopted the laboratory notebook as a metaphor for interacting ...
The key success factors in development of complex systems are among the following: 1. systematic pro...
International audienceContext: Software systems are often too complex to be expressed by a single mo...
In this paper, problems related to simulation model documentation and model exchange between users a...
International audienceWhen modeling requirements, software analysts have to choose the relevant mode...
Abstract—When modeling requirements, software analysts have to choose the relevant modeling construc...
Data is particularly valuable to scientists when details of its provenance are known. The traditiona...
Typically, simulation project is highly complex process, which relies heavily on the expertise and k...
International audienceThe acceptance and usefulness of simulation models are often limited by the ef...
The acceptance and usefulness of simulation models are often limited by the efficiency, transparency...
The potential of ecological models for supporting environmental decision making is increasingly ackn...
The documentation practice for machine-learned (ML) models often falls short of established practice...
Using expertise and combining functionalities from different domains has led to a significant increa...
The workflow of running simulations, converting from model data format to a common data format and t...
In this paper we describe how we have adopted the laboratory notebook as a metaphor for interacting ...
The key success factors in development of complex systems are among the following: 1. systematic pro...
International audienceContext: Software systems are often too complex to be expressed by a single mo...
In this paper, problems related to simulation model documentation and model exchange between users a...
International audienceWhen modeling requirements, software analysts have to choose the relevant mode...
Abstract—When modeling requirements, software analysts have to choose the relevant modeling construc...
Data is particularly valuable to scientists when details of its provenance are known. The traditiona...
Typically, simulation project is highly complex process, which relies heavily on the expertise and k...