Modernization of the software for measuring the quality of network traffic in the corporate network of the enterprise

2021 ◽  
pp. 104-113
Author(s):  
Е.Е. Истратова ◽  
Е.Н. Антонянц ◽  
А.О. Амельченко
Keyword(s):  
Network Traffic ◽  
Statistical Data ◽  
Client Server ◽  
Network Connection ◽  
Software Product ◽  
Corporate Network ◽  
Server Application

В статье представлены результаты модернизации ранее разработанного клиент-серверного приложения для исследования характеристик корпоративной сети. Результаты проведенных исследований позволили сделать вывод о том, что усовершенствованный программный продукт можно применять для сбора статистических данных о характеристиках сетевого подключения при передаче информации в корпоративной сети компании. The article presents the results of the modernization of a previously developed client-server application for the study of the characteristics of the corporate network. The results of the conducted research allowed us to conclude that the improved software product can be used to collect statistical data on the characteristics of the network connection when transmitting information in the corporate network of the company.

A Literature Review Study of Software Defect Prediction using Machine Learning Techniques

2018 ◽  
Vol 6 (6) ◽  
pp. 300 ◽  
Author(s):  
Feidu Akmel ◽  
Ermiyas Birihanu ◽  
Bahir Siraj
Keyword(s):  
Machine Learning ◽  
Software Metrics ◽  
Quality Standard ◽  
Machine Learning Techniques ◽  
Software Systems ◽  
Health Care Insurance ◽  
Software Defect ◽  
Learning Techniques ◽  
Software Product

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.

Return on Invesment (ROI) of Software Product: A Systematic Literature Review

2015 ◽  
Vol 6 (1) ◽  
pp. 50-57
Author(s):  
Rizqa Raaiqa Bintana ◽  
Putri Aisyiyah Rakhma Devi ◽  
Umi Laili Yuhana
Keyword(s):  
Return On Investment ◽  
Assessment Criteria ◽  
Software Product ◽  
And Performance ◽  
Rational Consideration ◽  
Actual Return ◽  
The Cost ◽  
Investment Models ◽  
The Impact

The quality of the software can be measured by its return on investment. Factors which may affect the return on investment (ROI) is the tangible factors (such as the cost) dan intangible factors (such as the impact of software to the users or stakeholder). The factor of the software itself are assessed through reviewing, testing, process audit, and performance of software. This paper discusses the consideration of return on investment (ROI) assessment criteria derived from the software and its users. These criteria indicate that the approach may support a rational consideration of all relevant criteria when evaluating software, and shows examples of actual return on investment models. Conducted an analysis of the assessment criteria that affect the return on investment if these criteria have a disproportionate effort that resulted in a return on investment of a software decreased. Index Terms - Assessment criteria, Quality assurance, Return on Investment, Software product

Computable metrics of personal performance in software development teams

2019 ◽  
Author(s):  
Andriy Lishchytovych ◽  
Volodymyr Pavlenko
Keyword(s):  
Life Cycle ◽  
Software Development ◽  
Product Quality ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Project Manager ◽  
Development Life Cycle ◽  
Software Product ◽  
Software Development Life Cycle

The present article describes setup, configuration and usage of the key performance indicators (KPIs) of members of project teams involved into the software development life cycle. Key performance indicators are described for the full software development life cycle and imply the deep integration with both task tracking systems and project code management systems, as well as a software product quality testing system. To illustrate, we used the extremely popular products - Atlassian Jira (tracking development tasks and bugs tracking system) and git (code management system). The calculation of key performance indicators is given for a team of three developers, two testing engineers responsible for product quality, one designer, one system administrator, one product manager (responsible for setting business requirements) and one project manager. For the key members of the team, it is suggested to use one integral key performance indicator per the role / team member, which reflects the quality of the fulfillment of the corresponding role of the tasks. The model of performance indicators is inverse positive - the initial value of each of the indicators is zero and increases in the case of certain deviations from the standard performance of official duties inherent in a particular role. The calculation of the proposed key performance indicators can be fully automated (in particular, using Atlassian Jira and Atlassian Bitbucket (git) or any other systems, like Redmine, GitLab or TestLink), which eliminates the human factor and, after the automation, does not require any additional effort to calculate. Using such a tool as the key performance indicators allows project managers to completely eliminate bias, reduce the emotional component and provide objective data for the project manager. The described key performance indicators can be used to reduce the time required to resolve conflicts in the team, increase productivity and improve the quality of the software product.

Problems of Iatrogenic Crimes Qualification

2021 ◽  
Author(s):  
K.V. Pitulko ◽  
Keyword(s):  
Causes Of Death ◽  
Statistical Data ◽  
Criminal Responsibility ◽  
Patient Treatment ◽  
Criminal Prosecution ◽  
Medical Assistance ◽  
Judicial Practice ◽  
Quality Of Medical Care ◽  
The Difference

The article reveals the features of the distinction between criminal and non-criminal circumstances, leading to a patient treatment unfavorable outcome. The aim of the research undertaken is to identify the nature and degree of social danger of professional negligence in the diagnosis and treatment of diseases. The article analyzes statistical data characterizing the dynamics of bringing doctors and other medical workers to criminal responsibility for committing crimes that caused harm to the life and health of patients. The organic connection of iatrogenic crimes with defects in the quality of medical care and improper performance of professional duties by medical workers is argued. The author reveals the difference between the causes of death and deterioration in the health of persons seeking medical assistance, and analyzes the practice of termination of medical workers criminal prosecution on rehabilitating grounds. On the basis of materials of modern judicial practice, it is proved that there is no need to separate the category «iatrogenic crimes» in the criminal law. A differentiated approach to qualification of adverse treatment outcomes seems promising. The author proposes detailing the legal liability of medical workers and medical organizations, depending on the criminal or non-criminal nature of the circumstances of causing harm to the life and health of the patient.

Impactul activităților umane asupra stării peisajelor geografice din bazinul hidografic Cogâlnic în anii 2004-2014

2020 ◽  
Author(s):  
Nicolae Boboc ◽  
◽  
Valentina Munteanu ◽  
Keyword(s):  
Statistical Data ◽  
Environmental Changes ◽  
Spatial Dynamics ◽  
Anthropogenic Pressure ◽  
Human Pressure ◽  
Republic Of Moldova ◽  
Temporal And Spatial ◽  
The Republic ◽  
High Degree

The high degree of land use in the Republic of Moldova as a whole, and the Cogâlnic river basin in particular, imposes the need to assess the quality of the environment and the characteristics of the anthropogenic pressure on the landscapes in temporal and spatial dynamics and to identifying an adequate of measure system for the purpose to maintain/restore the optimal structure and functioning of landscape systems. Based from the Land Cadastre on data, statistical data of population censuses, bibliographic and cartographic sources, a system, was appraised a system of indicators(of naturalness, of artificialization of landscapes, environmental changes) and quantified human pressure on the environment through agriculture and anthropogenic pressure on forest landscapes from the Cogâlnic catchment area. The values of the indices and the human pressure on the landscapes were processed using GIS techniques and elaborated cartographic models.

Towards Evaluating Quality of Datasets for Network Traffic Domain

2021 ◽  
Author(s):  
Dominik Soukup ◽  
Peter Tisovcik ◽  
Karel Hynek ◽  
Tomas Cejka
Keyword(s):  
Network Traffic

Stability assessment of QKD procedures in commercial quantum cryptography systems versus quality of dark channel

2015 ◽  
Vol 13 (08) ◽  
pp. 1550064
Author(s):  
Monika Jacak ◽  
Damian Melniczuk ◽  
Janusz Jacak ◽  
Ireneusz Jóźwiak ◽  
Jacek Gruber ◽  
...  
Keyword(s):  
Quantum Key Distribution ◽  
Statistical Data ◽  
Statistical Data Analysis ◽  
Quantum Bit ◽  
Channel Quality ◽  
Dark Channel ◽  
Cryptographic Key ◽  
Entangled Photon Pairs ◽  
The Stability

In order to assess the susceptibility of the quantum key distribution (QKD) systems to the hacking attack including simultaneous and frequent system self-decalibrations, we analyze the stability of the QKD transmission organized in two commercially available systems. The first one employs non-entangled photons as flying qubits in the dark quantum channel for communication whereas the second one utilizes the entangled photon pairs to secretly share the cryptographic key. Applying standard methods of the statistical data analysis to the characteristic indicators of the quality of the QKD communication (the raw key exchange rate [RKER] and the quantum bit error rate [QBER]), we have estimated the pace of the self-decalibration of both systems and the repeatability rate in the case of controlled worsening of the dark channel quality.

SADREG, A Client-Server Application DSS For Design And Management Of Surface Irrigation

2013 ◽  
Author(s):  
José M. Gonçalves ◽  
André Muga ◽  
Luís Santos Pereira ◽  
João Rolim ◽  
Mikhail G. Horst
Keyword(s):  
Surface Irrigation ◽  
Client Server ◽  
Server Application

scholarly journals EVALUATION OF SOFTWARE METRICS FOR SOFTWARE PROJECTS

2015 ◽  
Vol 14 (6) ◽  
pp. 5845-5853
Author(s):  
Kunal Chopra ◽  
Monika Sachdeva
Keyword(s):  
Software Metrics ◽  
Control Flow ◽  
Software Development Process ◽  
Software Projects ◽  
Flexible Tool ◽  
Product Metrics ◽  
Software Productivity ◽  
Software Product ◽  
The Many

Software metrics are developed and used by the many software organizations for the evaluation and confirmation of good code, working and maintenance of the software product. Software metrics measure and identify various types of software complexities such as size metrics, control flow metrics and data flow metrics. One of the significant objective of software metrics is that it is applicable to both a process and product metrics. Ndepend is the most advanced as well as flexible tool available in the market. We have ensured the Quality of the project by using Ndepend metrics. So we have concluded that software metrics are easy to understand and applicable on the software, so favourable among software professionals.It is most prevalent and important testing metrics used in organizations. Metrics are used to improve software productivity and quality. This thesis introduces the most commonly used software metrics proposed and reviews their use in constructing models of the software development process.

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