UML representation of object-oriented design antipatterns

Nowadays the ability to apply, implement and modify patterns of design and architecture has become a one of primary skills for software engineers. Competence of pattern design and implementation involves detecting and correcting inefficient solutions known as antipatterns. However, unlike patterns, very few antipatterns have a graphical representation so that an inefficient solution to a specific problem can be detected visually and refactored. Detecting antipatterns is not simple even with full set of technical documentation. This paper proposes a graphical UML representation of antipatterns to detect them at various stages of the software lifecycle. It proposes a method to refactor described antipatterns to improve software design quality and avoid software development process risks. UML diagrams modeling of 18 antipatterns is presented and refactoring method for all of them was described. Most of antipatterns were diagrammed using information from text descriptions and additional notes about arguable properties of antipatterns were included

Project-oriented course of software engineering based on essence

One of the most difficult parts in education of future software engineers is teaching how to combine software engineering hard skills (analysis and design of architecture, developing software, initial launch of software for customers) with soft skills (team work, time and resource management, communication with stakeholders of the project). Unfortunately, some universities only give theoretical basics of project management or do not even consider this part of software engineering as compulsory. In this paper we present our teaching experience of software engineering as a project-oriented course in a business-like environment. In this course we use Essence to combine the students’ knowledge about software engineering projects with their experience in course projects

Compound Poisson demand with price-dependent intensity for fast moving items: price optimisation and parameters estimation

We consider a single-period single-item inventory system. The demand is a compound Poisson process with price-dependent intensity and continuous batch size distribution. The intensity of the customers’ arrivals is sufficiently high to use a diffusion approximation of the demand process. Equations for retail price maximising of an expected profit with the optimal order quantity are obtained and an approximate solution is proposed. Numerical results illustrating the percentage of the increase in profit for linear price-intensity dependence are given. An approximate distribution of the selling time of a large order is obtained. Demand parameters estimation procedures based on two censored samples – the observed selling durations and demands – are discussed

Compound Poisson demand with price-dependent intensity for fast moving items: price optimisation and parameters estimation

We consider a single-period single-item inventory system. The demand is a compound Poisson process with price-dependent intensity and continuous batch size distribution. The intensity of the customers’ arrivals is sufficiently high to use a diffusion approximation of the demand process. Equations for retail price maximising of an expected profit with the optimal order quantity are obtained and an approximate solution is proposed. Numerical results illustrating the percentage of the increase in profit for linear price-intensity dependence are given. An approximate distribution of the selling time of a large order is obtained. Demand parameters estimation procedures based on two censored samples – the observed selling durations and demands – are discussed

Compound Poisson demand with price-dependent intensity for fast moving items: price optimisation and parameters estimation

We consider a single-period single-item inventory system. The demand is a compound Poisson process with price-dependent intensity and continuous batch size distribution. The intensity of the customers’ arrivals is sufficiently high to use a diffusion approximation of the demand process. Equations for retail price maximising of an expected profit with the optimal order quantity are obtained and an approximate solution is proposed. Numerical results illustrating the percentage of the increase in profit for linear price-intensity dependence are given. An approximate distribution of the selling time of a large order is obtained. Demand parameters estimation procedures based on two censored samples – the observed selling durations and demands – are discussed