In order to maintain the quality of software, it is important to measure it complexity. This provides an insight into the degree of comprehensibility and maintainability of the software. Measurement can be carried out using cognitive measures which are based on cognitive informatics. A number of...

The scope of the paper is to find signatures of the forces controlling complex systems modeled by Langevin equations, by recourse to information-theory quantifiers. We evaluate in detail the permutation entropy (PE) and the permutation statistical complexity (PSC) measures for two similarity...

We define Persistent Mutual Information (PMI) as the Mutual (Shannon) Information between the past history of a system and its evolution significantly later in the future. This quantifies how much past observations enable long-term prediction, which we propose as the primary signature of...

We propose a functional complexity index as a quantitative measure for the inequivalent functions a network can perform. It is sensitive to the information on regulatory rules which may be stored in the network topology and to the dynamical constraints of the network. The topological diversity...