scholarly journals INVESTIGATION OF RISKS OF INFLUENCE OF THE RESULTS OF THE OPERATION DIVISION ON THE QUALITY OF PSEUDO-RANDOM VALUE GENERATORS EMBEDDED IN THE SOFTWARE

Author(s):  
O. Skyba ◽  
I. Domanov ◽  
V. Kravchenko

The article is devoted to certain approaches that concerned a checking random values obtained from the generator of random (pseudorandom) values. The article provides the results of a practical research of the numbers which are obtained during the division operation. The research was directed to find out the ratio of even and odd numbers in a quotients and remainders in the results of performing of the division operation. The analysis was carried out due to the fact that the remainder and quotient of division is widely used in various algorithms of software tools intended for generating random and pseudorandom values (numbers). The results of the research, which are given in this scientific publication, confirm the existence of prerequisites for the outputting by the generator of pseudorandom values such values (numbers) which will not fully meet the criteria. First of all, it is a criterion which concerns parity and oddity of the numbers which can be outputted by generator of random and pseudorandom values. The authors propose to explore parity and oddity using two methods. The first method is based on Pearson's squared test (chi-squared test). It allows you to find out the presence and admissibility of deviation of the sequence of values obtained empirically, with theoretical (predicted) values. In this case, the level of accuracy is chosen depending on the requirements for the software product as a whole and the generator of random (pseudorandom) values in particular. The second method is based on the long series test (long sequences test), which determines the permissible number of even or odd values that follow each other. In this case, the number of allowed such sequences depends on the number of results obtained during a series of experiments. The proposed approaches are recommended for software products planning and testing which is supposed to be used by the Ministry of Defense of Ukraine.

Author(s):  
MAURIZIO MORISIO ◽  
IOANNIS STAMELOS ◽  
ALEXIS TSOUKIAS

Software entities (software products or processes) are characterized by many attributes, each one in its turn can be measured by one or more measures. In several cases the software entities have to be evaluated as a whole, thus raising the problem of aggregating measures to give an overall, single view on the software entity. This paper presents a method to aggregate measures, which works by comparing the product/process with predefined, ideal entities, or profiles. Profiles are defined starting from ranges of values on measures of attributes. The method is based on two main phases, namely definition of the evaluation model and application of the evaluation model. It is presented through a simplified case study that deals with evaluating the level of quality of an asset to decide whether to accept it in a reuse repository. A plausible way of how the method could be applied to process maturity assessment is also provided. The advantages of the method are that it allows using ordinal scales, while it deals explicitly with preferences expressed, implicitly or explicitly, by the evaluator.


Author(s):  
Atrin Barzegar

The success of a software product depends on several factors. Given that different organizations and institutions use software products, the need to have a quality and desirable software according to the goals and needs of the organization makes measuring the quality of software products an important issue for most organizations and institutions. To be sure of having the right software. It is necessary to use a standard quality model to examine the features and sub-features for a detailed and principled study in the quality discussion. In this study, the quality of Word software was measured. Considering the importance of software quality and to have a good and usable software in terms of quality and measuring the quality of software during the study, experts and skilled in this field were used and the impact of each factor and quality characteristics. It was applied at different levels according to their opinion to make the result of measuring the quality of Word software more accurate and closer to reality. In this research, the quality of the software product is measured based on the fuzzy inference system in ISO standard. According to the results obtained in this study, it is understood that quality is a continuous and hierarchical concept and the quality of each part of the software at any stage of production can lead to high quality products.


2013 ◽  
Vol 16 (2) ◽  
Author(s):  
Gabriel Alberto García-Mireles ◽  
Ma Ángeles Moraga ◽  
Félix García ◽  
Mario Piattini

When organizations implement software process improvement programs they are seeking to increase productivity, reduce costs and enhance the quality of the resulting software. In fact, the quality of software products depends, to a great extent, on the processes used for their development and/or maintenance. However, despite this belief concerning the influence of the process on product quality, the specific process-product relationship has been poorly addressed in literature. This paper therefore analyzes the influence that software processes can have on software product usability, which is one of the most important quality characteristics since it influences how the user perceives the product. To this end, we present a systematic literature review examining the relationship between usability and software processes, which has allowed us to identify the processes that relevant studies consider to be important in enhancing product usability.


Author(s):  
Marta N. Gómez ◽  
Silvia T. Acuña ◽  
Marcela Genero ◽  
José A. Cruz-Lemus

Team member knowledge and expertise are the aspects typically considered important for software team development formation. However, the authors believe that the formation of teams, as is found in literature, could be based on factors related to the personalities of the members of the development team, and that these factors might affect both the quality of the software product developed and the satisfaction perceived by the development team. In this work they present a controlled experiment, which was carried out during an academic course on Data Bases. The intention of this experiment was to evaluate whether the work team’s level of extraversion influenced, on the one hand, the final quality of the software products obtained and, on the other, the satisfaction perceived while this work was being carried out. The results obtained indicate that when forming work teams, project managers and lecturers should carry out a personality test beforehand in order to balance the amount of extraverted team members with those who are not extraverted. This would permit the team members to feel satisfied with the work carried out by the team without reducing the quality of the software products developed.


2016 ◽  
Vol 18 (02) ◽  
pp. 1640006
Author(s):  
Nikolay Zenkevich ◽  
Margarita Gladkova

In this paper, the market of software products is considered. Regularly this market is suffering from existence of counterfeit or pirate products which causes problems and challenges for original software developers. Taking this fact into account the paper is trying to solve the problem of price competition on this market. The software company set the price and the quality of the software product while the counterfeit or pirate company suggests the consumers the product of the lower quality. First the general model is analyzed and price equilibrium is defined. Second, the monopoly case is considered separately and optimal software price is defined. Finally, it is supposed that there are two companies that produce original software on the market who compete and differentiate in product quality, and there are two pirate companies who produce the same type of software. The duopoly case is analyzed and equilibrium prices for competing companies are obtained in the explicit form.


1992 ◽  
Vol 36 (3) ◽  
pp. 198-201
Author(s):  
Marion M. Sherry

This paper describes a documentation writing methodology developed and used by the author to address some of the issues of consistency in documentation and product function, redundancy of research and solution, and product usability (including timeliness of delivery and quality of support) for a software product engineered, developed and deployed in a multi-organizational or corporate environment. The methodology is compatible with technical systems engineering, development and testing documentation requirements, and is applicable to software products for which there are existing or anticipated “user guides”. The method used to accomplish these goals is the incorporation of existing user guide formats, wherever possible, in the documentation of technical specifications for detailed engineering, development and testing requirements. This paper describes the “cycle of documentation” methodology employed, identifies opportunities to use this methodology, and describes some of the benefits derived from using the methodology (both initially intended and later discovered).


Author(s):  
Atrin Barzegar ◽  
Yas Barzegar

Computer systems are involved in many critical human applications today, so that a small error can lead to serious and dangerous problems. These errors can be from an error in the incorrect design of the user interface to an error in the program code. The success of a software product depends on several factors. Given that different organizations and institutions use software products, the need to have a quality and desirable Software according to the goals and needs of the organization makes measuring the quality of software products. an important issue for most organizations and institutions, To be sure of having the right software. It is necessary to use a standard quality model to examine the features and sub-features for a detailed and principled study in the quality discussion. In this study, the quality of Word software was measured by Adaptive Neural Fuzzy Inference System. In recent years, powerful systems called fuzzy inference systems on The basis of adaptive neural network (ANFIS) has been used in various sciences. Using the power of neural network training and the linguistic advantage of fuzzy systems, these types of systems have been able to realize the advantages of the two in terms of analyzing very powerful complex processes. Considering the importance of software quality and to have a good and usable software in terms of quality and measuring the quality of software during the study. It was applied at different levels to make the result of measuring the quality of Word software more accurate and closer to reality. In this research, the quality of the software product is measured based on the adaptive neural-fuzzy inference system in ISO standard. According to the results obtained in this study, it is understood that quality is a continuous and hierarchical concept and the quality of each part of the software at any stage of production can lead to high quality products.


Author(s):  
Ju. A. Tikhonova

The article discusses the development trends of the modern preschool education system in the aspect of the activity of the teacherpsychologist of the preschool educational organization. The experience of using 1C software products in the practical work of the psychological service of kindergarten 318 of the city of Perm in the aspects of psychological monitoring of children’s readiness to study at school and correctional and developmental work with preschool children is presented. The components of the child’s psychological readiness for school are described. On practical examples, diagnostic methods for determining the level of readiness of children for schooling are analyzed. The data of testing kindergarten pupils at the beginning of the 2019/2020 school year on the parameters allowing to identify urgent problems and determine the direction of the necessary correctional development work are presented. Features of the practical application of the software product 1C:Preschool Psychodiagnostics in the process of psychological support of preparing children for school are considered. Methods are described, the scope of which is aimed not only at the study of personality traits, but also at its development. The possibilities of using games of the 1C:Educational Collection in the correctional and developmental work are disclosed. The description of game collections is given, options for their use are presented.


1990 ◽  
Vol 18 (4) ◽  
pp. 216-235 ◽  
Author(s):  
J. De Eskinazi ◽  
K. Ishihara ◽  
H. Volk ◽  
T. C. Warholic

Abstract The paper describes the intention of the authors to determine whether it is possible to predict relative belt edge endurance for radial passenger car tires using the finite element method. Three groups of tires with different belt edge configurations were tested on a fleet test in an attempt to validate predictions from the finite element results. A two-dimensional, axisymmetric finite element analysis was first used to determine if the results from such an analysis, with emphasis on the shear deformations between the belts, could be used to predict a relative ranking for belt edge endurance. It is shown that such an analysis can lead to erroneous conclusions. A three-dimensional analysis in which tires are modeled under free rotation and static vertical loading was performed next. This approach resulted in an improvement in the quality of the correlations. The differences in the predicted values of various stress analysis parameters for the three belt edge configurations are studied and their implication on predicting belt edge endurance is discussed.


Author(s):  
Feidu Akmel ◽  
Ermiyas Birihanu ◽  
Bahir Siraj

Software systems are any software product or applications that support business domains such as Manufacturing,Aviation, Health care, insurance and so on.Software quality is a means of measuring how software is designed and how well the software conforms to that design. Some of the variables that we are looking for software quality are Correctness, Product quality, Scalability, Completeness and Absence of bugs, However the quality standard that was used from one organization is different from other for this reason it is better to apply the software metrics to measure the quality of software. Attributes that we gathered from source code through software metrics can be an input for software defect predictor. Software defect are an error that are introduced by software developer and stakeholders. Finally, in this study we discovered the application of machine learning on software defect that we gathered from the previous research works.


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