The representation format of math problems can manifest dissimilarly in people with varying levels of math performance. The aim of this study was to investigate the neurocognitive underpinnings of two-digit exact calculation tasks in different formats: numerical and word. Fifty-three students were divided into groups with high and low levels of math performance based on their ability to solve math problems. They were asked to calculate addition problems with two-digit numbers and to read math problems that did not require calculations. Brain activation was recorded using functional near-infrared spectroscopy (fNIRS). General linear model (GLM) analysis revealed that reading math problems without calculation led to increased activation in the inferior temporal and fusiform gyri in a group of high-level performers, while a group of low-level performers demonstrated increased activation in Broca's area and the inferior frontal gyrus in the same experimental condition, as well as during solving arithmetic problems in a word format of the exact calculation task. Analysis after bootstrapping revealed similar activation patterns in both groups. Both domain-specific and domain-general regions of the frontal and parietal brain areas were involved in the calculations. Right and left hemisphere activation was found both in low and high math performers. Comparing experimental conditions with resting state revealed significant activation in Broca's area in all conditions in a group of high-level performers and in a word format of arithmetic problems in a group of low-level performers. Thus, the observed brain patterns suggest the involvement of complex sentence comprehension, especially in high-performing students. These results could be used in future to improve educational practice for students with varying levels of math competence.

The article is devoted to the problem of software quality assessment during the trial operation stage. The developed approach is based on the hierarchy of quality assessment parameters according to GOST 28195-89. The approach is proposed to evaluate the quality of software during the trial operation stage with the breakdown of work into several stages and the subsequent aggregation of the resulting assessment. They formalized the set-theoretical description of the software quality assessment system. To evaluate some aspects of software quality that are evaluated by an expert method, the mathematical apparatus of fuzzy logic is used. The division of this process into separate stages is justified by the nature and specificity of quality indicator collection. At the same time, it is proposed to include usability indicator in the comprehensive assessment of software quality, obtained on the basis of user survey results.

This article focuses on the issue of software incident lifecycle management. It analyzes the standards with incident management instructions. A formal presentation of the corporate information system is performed, which allows to identify an incident location. They develop incident classification algorithm formally presented in multidimensional space. After software update, new incidents may occur that are not listed in the knowledge base. If an incident is represented by isolated cases of "non-standard incident", then it is processed separately. If an incident is often "standard", then an incident model is developed for it. The algorithm presented in the paper takes this feature into account and allows the development of new incident clusters based on the minimum density indicator set by the user. The minimum cluster density index is determined individually for each corporate information system, depending on the approach to incident categorization.

The article is devoted to the problem of global extremum search for several variables function. A modified algorithm is developed for the search of global extremum function, based on evolutionary calculations and differing by the approach of an area development to create an initial population of agents. They developed the algorithm for the function extremum search area definition, which ultimately performs the decomposition of the research area into subsets. It is suggested to take into account the knowledge of an expert, an agent and the available group agents. Based on the available knowledge, the region is divided into three subsets with different priorities. At that, the possibility of the function extremum drift is taken into account and a separate procedure of a search area definition is implemented, taking into account the retrospective information on the drift of parameters. Keywords : multicriteria optimization, multiextremal function, global extremum, extremum drift, solution search area, decision support system.