The assurance of quality, reliability, and trustwor-thiness of software systems is a basic
requirement in software development. Therefore, it is necessary to have a comprehension …

Earth observation (EO) data provenance is vital for facilitating data sharing and cooperative
processing. However, existing techniques for managing EO data provenance still have …

A game session comprises a series of user decisions, inputs, and the execution of a strategy
to reach specific goals. Tracking generated data of a game session is important for game …

In this paper, we present AgentSwitch, a prototype agent-based platform to solve the
electricity tariff selection problem. Agent-Switch incorporates novel algorithms to make …

In long-lasting scientific workflow executions in HPC machines, computational scientists (the
users in this work) often need to fine-tune several workflow parameters. These tunings are …

Provenance generated by different workflow systems is generally expressed using different
formats. This is not an issue when scientists analyze provenance graphs in isolation, or …

Provenance databases are an important asset in data analytics of large-scale scientific data.
The data derivation path allows for identifying parameters, files and domain data values of …

Personal health data is acquired, processed, stored, and accessed using a variety of
different devices, applications, and services. These are often complex and highly connected …

Due to the exploratory nature of scientific experiments, computational scientists need to
steer dataflows running on High-Performance Computing (HPC) machines by tuning …

This chapter outlines some of the challenges and opportunities associated with adopting
provenance principles (Cheney et al., Dagstuhl Reports 2 (2): 84–113, 2012) and standards …