Empirical software engineering focuses on the evaluation of software engineering technologies, such as processes and tools, by comparing related sets of data. It has contributed a ...
Davide Falessi, Philippe Kruchten, Giovanni Canton...
: Nowadays, the complexity of software applications has brought new challenges to developers, having to deal with a large number of computational requirements. Among these requirem...
Organizations are adopting multiple best practices models to improve overall performance. Their objective is to capture the cumulative added value of each model into one single env...
Scientific workflows facilitate automation, reuse, and reproducibility of scientific data management and analysis tasks. Scientific workflows are often modeled as dataflow networks...
on the methodologies and processes, but instead provide an abstract and structured description in a way that facilitates their elaborate analysis for the purposes of improving unde...