AI-based systems are software with functionalities enabled by at least one AI component (e.g., for image- and speech-recognition, autonomous driving). becoming pervasive in society due to advances AI. However, there is limited synthesized knowledge on Software Engineering (SE) approaches building, operating, maintaining systems. To collect analyze state-of-the-art about SE systems, we conducted a systematic mapping study. We considered 248 studies published between January 2010 March 2020....

Chimera states are complex spatio-temporal patterns in which domains of synchronous and asynchronous dynamics coexist coupled systems oscillators. We examine how the character individual elements influences chimera by studying networks nonlocally Van der Pol Varying bifurcation parameter system, we can interpolate between regular sinusoidal strongly nonlinear relaxation oscillations, demonstrate that more pronounced nonlinearity induces multi-chimera with multiple incoherent domains. show...

Abstract Nowadays, systems containing components based on machine learning (ML) methods are becoming more widespread. In order to ensure the intended behavior of a software system, there standards that define necessary qualities system and its (such as ISO/IEC 25010). Due different nature ML, we have re-interpret existing for ML or add new ones trustworthiness). We be very precise about which quality property is relevant entity interest completeness training data correctness trained model),...

In software systems, user experience (UX) is a quality that provides value to its intended users. Therefore, we consider it critical manage UX and link business quantitatively. Key performance indicators (KPIs) have been widely adopted for objectively measuring factors influence success, including characteristics their contribution in the context of systems general. Yet, complex Internet Things (IoT) especially Industrial IoT (IIoT) remains challenge. This paper presents multivocal...

As the applications of machine learning algorithms in various fields are widely demanded, development software systems (MLS) is rapidly increasing. The quality MLS different from that conventional systems, sense it depends on amount and distribution training data a model input during operation. This major challenge assurance for enterprise. In this paper, we propose requirements-driven method to determine characteristics MLS. Major contributions paper include: (1) Extending ISO 25010, which...

Digital transformation is advancing across industries, enabling products, processes, and business models that change the way we communicate, interact, live. It radically influences evolution of existing systems (SoSs), such as mobility systems, production energy or cities, have grown over a long time. In this article, discuss what means for future software engineering based on results research project called DynaSoS. We present data collection methods applied, including interviews,...

A one-component bistable reaction-diffusion system with asymmetric nonlocal coup ling is derived as limiting case of a two-component activator-inhibitor reaction -diffusion model differential advection. The effects couplings in such reaction-diffusi on are then compared to the previously studied symm etric coupling. We carry out linear stability analysis spatially homogeneous steady sta tes and numerical simulations show how asymmetr ic coupling controls alters states front dynamic s system....

Complex systems simulation implies the interaction of different scientific fields. However, most time people involved into process do not know intricate distributed tools and only care about their own domain modelling. We propose a framework (called AA4MM) to build as society interacting models. The main goal is reuse existing models simulators make them interact. coordination challenges remain AA4MM so that design implementation stay simple possible. In this paper, we present model which...

We investigate amplitude chimera states in nonlinear dynamical networks, which consist of coexisting domains synchronized and desynchronized dynamics. In particular, we analyze the role time delay stochasticity for these synchronization-desynchronization patterns. address question robustness control presence noise.

We consider the effects of a Mexican-hat-shaped nonlocal spatial coupling, i.e., symmetric long-range inhibition superimposed with short-range excitation, upon front propagation in model bistable reaction-diffusion system. show that velocity can be controlled up to certain coupling strength beyond which spatially periodic patterns, such as Turing patterns or coexistence homogeneous solutions and may induced. This behaviour is investigated through linear stability analysis steady states...

We study the statistical mechanics of self-gravitating gas at thermal equilibrium with two kinds particles. start from partition function in canonical ensemble, which we express as a functional integral over densities particles for large number The system is shown to possess an infinite volume limit when (N(1),N(2),V)--> infinity, keeping N(1)/V(1/3) and N(2)/V(1/3) fixed. saddle point approximation becomes here exact (N1,N2,V)--> infinity. It provides nonlinear differential equation each...