Software Functionality Research Articles

ESTIMASI PENGUKURAN PERANGKAT LUNAK MENGGUNAKAN METODE MATRIK FUNCTION POINT ANALYSIS – STUDI KASUS APLIKASI AKADEMIK SISWA BERBASIS WEBSITE

Function Point (FP) is a measurement method as well as a unit of measure from a software. FP can measure software by quantifying (number of units in numbers) functionality in software that is already provided to users based on logic. The FP matrix is calculated from 5 components which include the number of user inputs (external input-EI), the number of outputs to the user (external inquiry - EQ), the number of user inquiries (external inquiry - EQ), the number of internal files used (internal logical file - EQ). ILF), and the number of external interfaces (external files – EIF). This case study aims to study carefully how to calculate FP which produces the final result in the form of cost estimation in software. The existing software is the Website-Based Student Academic Application (AASBW). The technical files available from this software are source code and running application. This FP measurement will be carried out from a software point of view, namely measuring the finished application. From the observation, it is found that the FP for AASBW = 152.90 and the estimated cost to market this application is Rp. 7,645.00, the estimated production time is 29 days, and the estimated cost of managing this application is Rp. 3,850,000, so the results of the three estimation factors are used by the authors as analysis material for Website-Based Student Academic Applications using the Function Point Analysis method.

Collaborizer: The sizer of the agile collaboration

<h2>Abstract</h2> In recent years some ways of measuring Computer Supported Cooperative Work (CSCW) have been proposed. However, there are few mechanisms for managers to assess the quantitative performance of their teams' collaboration. This paper presents Collaborizer, a tool designed to benchmark collaborative work based on Agile principles and generate visual reports. The software's functionalities involve estimating team collaboration, generating graphs, and providing reports. About Collaborizer's contributions, we can highlight that its code enables reproduction and the tool allows managers to identify and improve several aspects of Human–Computer Interaction (HCI).

Towards Automated Web Functional Testing Using Predefined Templates

The paper describes the characteristics of a new experimental automated web testing approach and component that allows the users to test functionalities of a web-based software under test (SUT) using a succession of parametrizable predefined test templates. The parametrizable templates usage supports a minimal validation of a finalized work without automated testing skills development because these are provided by default. The independent web developers without the required resources to automatically test the functionality of their applications could successfully integrate solutions based on the presented approach into their practice. The tactic allows the configuration of the test cases with the specific values required by the desired SUT characteristics through a novel graphic-based policy for the definition of test cases.

Model Architecture Software for Geospatial based Augmented Reality

&#x0D; Software architecture is the basis of every software system and is very important used in software development. Augmented reality (AR) can make it easier for users to interact with virtual objects in a real environment through a camera display that displays 3D objects. In the tourism industry, augmented reality can be used to display the geographical location of tourist attractions, routes to locations, and 3D shapes of buildings that make it easier for users when looking for the nearest tourist destination. Designing an application in this case G-STAR requires several things, namely: Description of needs: Product perspective, product function, user characteristics, both developers and tourists. Specific needs: External interface requirements, namely user interfaces, hardware interfaces, software interfaces, communication interfaces. Software functionality requirements: Application flowchart. Functional requirements specification: Menu feature, function, camera AR function, tourist attraction function, Map function, info function, and guide function. Sequence diagrams. User interface/application prototyping.

Juicing V8: A primary account for the memory forensics of the V8 JavaScript engine

V8 is the open source interpreter developed by Google to enable JavaScript (JS) functionality in Chrome and power other software. Malicious threat actors abuse the usage of JS because most modern-day browsers implicitly trust script code to execute. To aid in incident response and memory forensics in such scenarios, our work introduces the first generalizable account of the memory forensics of the V8 JS engine and provides practitioners with a list of objects and their descriptors extracted from a memory image. These objects can be used to reveal key information about a user and their activity. We analyzed the V8 engine and its garbage collection process. We then developed and validated a Volatility plugin – V8MapScan – to reconstruct V8 objects from a memory image. The runtime of the V8 engine is housed within the V8 isolate which contains its own heap manager and garbage collector. Within the heap of the isolate exists a root object map known as the MetaMap. By using the MetaMap and a object-fitting technique, we were able to extract objects, object-maps, and object properties. The V8MapScan plugin scans process memory for the MetaMap data structure contained within the V8 isolate using its data structure, references to objects can be found and extracted. Our findings were verified with Chrome DevTool's Heap Profiler. Our approach recovered the majority of objects indicated by the heap profiler with common types such as the ONE_BYTE_INTERNALIZED_STR type returning more than 98.9%. Lastly, we provide a case study using our tools on the Monero Cryptocurrency Miner.

Lightning data utilization in power system control

Lightning location systems (LLS) provide data on lightning activity such as lightning type, GPS location, exact time of the lightning stroke, lightning current amplitude, measurement error, etc. The proper application of LLS data using customized software support can be a powerful decision-making tool in the control, maintenance and development of power systems. The utilization of lightning data in power systems requires a customized software support with specific functionalities. Software functionalities include real time lightning activity visualization with alarm function; analysis, reports and historical lightning activity visualization; spatial correlation between lightning data and alarm zones around geographically represented power system’s objects (power lines, power facilities, etc.); calculation of lightning statistics; generation of wide area lightning density maps, generation of high resolution lightning density maps inspecting alarm zones around the power lines; real time correlation between lightning activity and the power system protection equipment (distant protection relays), gathered through the SCADA system. In this paper, emphasis will be given to the application in correlation between faults and outages in the power network and lightning strokes. Today, many power companies monitor data related to circuit breaker operation or reclosing using various equipment. Such equipment allows online monitoring of circuit breakers and alarm statuses of equipment in substations.

CRM software as a service and importance of the approach for SMEs

CRM is “old news” in large enterprises. On the other hand, in ever evolving economies where the strongest prevail, causing mergers and survival of the fittest (and the largest), it is increasingly difficult for small and medium enterprises (SMEs) to gain new customers and to retain old ones. Being able to timely understand customer habits, their needs and drivers is substantial for all businesses, large or small. Some of the core CRM software functionalities and reports will help SMEs to get comprehensible picture of their customers, key drivers of their businesses and the path their companies are taking. In this paper, importance of having CRM software, especially under SaaS licensing, understanding data it provides and using both to increase customer satisfaction and retention for SMEs will be discussed. Some of key performance indicators (KPI) will be explained, including how they can influence the increase revenue and enable sustainability and longevity of SMEs.

PairwiseIHA: A python toolkit to detect flow regime alterations for headwater rivers

The PairwiseIHA is an open-source toolkit written in Python that enables the user to quickly obtain the Indicators of Hydrologic Alteration (IHA) from inflow and outflow time series for headwater reservoirs. Specifically, the IHA metrics obtained from inflows (outflows) are considered as natural (regulated) and the differences are used to indicate how the magnitude, frequency, duration, timing and rate of change are altered by reservoir operation. It extends the functionality of the popular IHA software for analyzing concurrent inflows and outflows. The results of three case study reservoirs in California highlight that reservoir operation leads to considerable alterations in the five components of the flow regime. The findings on flow regime alteration are consistent across wet, normal and dry years. Overall, the PairwiseIHA can serve as an effective tool to investigate alterations in flow regime induced by human activities for water managers, scientists, natural resource agencies and water users.

Artificial Intelligence based Software as Medical Device

Even the most basic of artificial intelligence (AI) systems can outperform humans in some milestone tasks. The following article will present the study on how AI-based software can be used in medical devices. The medical industry has seen astounding advances in AI is used extensively in medical sciences and many other sectors. AI-based software as a medical device will deliver safe and effective software functionality that improves the quality of care that patient receives. Along with its benefits, it also faces challenges, including the need for regulation to keep up with the pace of technology.

CLIENT-SERVER SYSTEM FOR PARKING MANAGEMENT BASED ON VIDEO SURVEILLANCE DATA ANALYSIS

A web-based system for monitoring and managing parking lots based on analysis of images from surveillance cameras is presented. An approach has been developed for segmentation of parking spaces, that allows you to automatically determine the coordinates of parking spaces in the image using the Otsu adaptive binarization algorithm and the Hough transform algorithm for linking lines. The classification of parking spaces by occupancy type is performed using the convolutional neural network ResNet50. The features of the implementation of the server part are given, the developed class diagram and their main purpose are described. The client part of the system is a website that can be accessed using a personal computer or mobile device. Examples for main software functionality are shown.

Noise fingerprints in quantum computers: Machine learning software tools

In this paper we present the high-level functionalities of a quantum-classical machine learning software, whose purpose is to learn the main features (the fingerprint) of quantum noise sources affecting a quantum device, as a quantum computer. Specifically, the software architecture is designed to classify successfully (more than 99% of accuracy) the noise fingerprints in different quantum devices with similar technical specifications, or distinct time-dependences of a noise fingerprint in single quantum machines.

Full coverage path planning algorithm for MRgFUS therapy.

BackgroundHigh‐quality methods for Magnetic Resonance guided Focussed Ultrasound (MRgFUS) therapy planning are needed for safe and efficient clinical practices. Herein, an algorithm for full coverage path planning based on preoperative MR images is presented.MethodsThe software functionalities of an MRgFUS robotic system were enhanced by implementing the developed algorithm. The algorithm's performance in accurate path planning following a Zig‐Zag pathway was assessed on MR images. The planned sonication paths were performed on acrylic films using the robotic system carrying a 2.75 MHz single element transducer.ResultsAblation patterns were successfully planned on MR images and produced on acrylic films by overlapping lesions with excellent match between the planned and experimental lesion shapes.ConclusionsThe advanced software was proven efficient in planning and executing full ablation of any segmented target. The reliability of the algorithm could be enhanced through the development of a fully automated segmentation procedure.

Video conferencing in the e-learning context: explaining learning outcome with the technology acceptance model.

This study uses the technology acceptance model (TAM) to help explain how the use of technology influences learning outcomes emanating from engagement with the Zoom video conference platform. To this end, structural equation modeling was used to analyze the relationships among the TAM variables in reference to Zoom taught during the Covid-19 pandemic. Following a cross-sectional research design, data were collected using Davis's TAM (1989) scales including perceived ease of use (PEoU), perceived usefulness (PU), behavioral intentions, and attitude from 321 South Korean university students attending their 10th week of English as a foreign language (EFL) conversational English classes. Results revealed that seven of the ten proposed hypotheses were confirmed, with path coefficients having small to large effect sizes. Most notably, PEoU with Zoom strongly affected PU and actual use. In addition, PU with Zoom predicted intentions to use Zoom in the future; however, it failed to influence perceived learning outcomes. While PU predicted future use, it did not influence actual use regarding how well students reported their current performance in their video conference course. PEoU with video conference tools was an influential antecedent to usefulness, attitude, and perceived learning outcome. Lastly, two notable instances of mediation through PU occurred. In consideration of findings, students and instructors should be well trained on the use and functionality of video conference software before its implementation in video conference classrooms.

Formation, and submission of reporting using information technologies

The article examines the concept of reporting as an element of the information system of the enterprise. The purpose of the study is to determine the main problems and features of the formation and reporting using modern information technology as an important element of digitalization in Ukraine. The essence of the concepts "financial reporting" and "accounting" is defined. Problems of formation and features of reports with the use of the Internet are revealed. A thorough analysis of the main software and information technologies used to submit electronic reports to control bodies via the Internet using an electronic digital signature. The advantages and disadvantages of each digital product are identified, which allow to make decisions on the appropriateness of their use and selection, which will meet the needs of the consumer. The list of parameters for consideration is defined, namely those that minimize the possibility of errors in compiling reports, have a simple interface, synchronize data from other programs, and ensure data confidentiality. It is noted that the automation of the accounting system is very important for every company. The introduction of modern information technology at the enterprise will ensure the effectiveness of accounting and financial reporting. The need to develop and implement unified standards and forms of electronic reporting has been identified, which will significantly improve the relationship between government agencies and companies and improve the relations between regulatory authorities. Prospects for further research in the direction of improving the functionality of software for accounting automation, which will integrate the whole process from the formation of primary accounting data and ending with the successful submission of reports to regulatory authorities. Keywords: financial reporting, accounting, electronic reporting, software, information technology.

BIM for Landscape Design Improving Climate Adaptation Planning: The Evaluation of Software Tools Based on the ISO 25010 Standard

This paper investigates the capabilities and limitations of different software tools simulating landscape design adaptability. The evaluation of tools is based on the ISO 25010 framework, which investigates software functionality, reliability, performance efficiency, usability, compatibility, and information quality. These quality characteristics of software are analysed during objective experiments where five software tools are used for a case study project at the conceptual design phase. These experiments reveal that the existing software tools for climate adaptation planning are focused on different aspects of climate adaptability, generating different types of information. Moreover, all tools deal with some limitations in terms of compatibility, performance efficiency, and functional operations. The ISO 25010 quality model provides a comprehensive framework to compare the capabilities of different software tools for climate adaptation planning. This paper is part of a wider study including an analysis of the needs of project stakeholders regarding climate adaptation software tools. However, this article focuses on technical capabilities of current climate adaptation software tools.

The Analysis of a Learning Management System from a Design and Development Perspective

The use of information technology as a means of educating students has become a popular trend. For this purpose, a special type of content management system was used, called learning management systems (LMS) and course management systems (CMS). Often all of these platforms offer similar features and users cannot choose the one that best suits them. This article proposes an analysis of the usability and functionality of software in LMS frameworks. Based on the integration of parallel work on the same database, you can automatically synchronize and manage accounts, users, sessions, and distribute (session and user) easily. There is no need to manually enter data in two different systems. This increases the value of the learning management system used by improving time and accuracy. By first, reducing the time creating learning materials within the LMS. Second, the accuracy in creating the learning materials within the LMS. Third: Accuracy in distributing students and teachers to the course. Fourth, configure the class room inside the LMS that matches the CMS one hundred percent. It includes subjects, departments, faculties and users (students and teachers). The contribution of this paper provides a rich recent direction of software methodologies for web-based learning management systems from a design and development perspective.

Issues with the Swedish e-prescribing system - An analysis of health information technology-related incident reports using an existing classification system.

ObjectiveTo identify issues with the Swedish e-prescribing system and devise a set of recommendations to overcome the identified challenges.MethodsA number of health information technology-related incidents were collected retrospectively from various sources using purposive and snowball sampling. A search term containing five keywords was used to identify the electronic prescription-related incidents. The identified incidents (n = 24) were subjected to an existing framework, i.e., the Health Information Technology Classification System. Special attention was paid to the software-related issues, which were analysed using thematic analysis.ResultsSeveral types of software-related issues (n = 22) were identified: system configuration, interface with other software systems or components, software functionality, data storage and backup, record migration, software not accessible, and network/server down or slow. Both human and technical factors contributed to these incidents, including prescriptions not cancelled actively, drug handling errors, software programming errors, and system updates/upgrades. These software problems led to various consequences, such as incidents affecting multiple patients’ care management, delays in patient care, and risks of serious deterioration of health. Several temporary initiatives or administrative adjustments, for instance, cover letters to patients and local strategies, were used to overcome some of these challenges.ConclusionsThis study provides insights into the challenges related to the e-prescribing system, contributing factors, consequences, and actions taken to mitigate those risks. Therefore, healthcare organisations using the e-prescribing system should adopt the provided recommendations to minimise the risks of design and developmental challenges, implementation and use-related issues, and the problems related to monitoring, evaluation, and optimisation.

Computational simulations and assessment of two approaches for x-ray phase contrast imaging

X-ray phase-contrast imaging is a high-resolution imaging that permits an increase of the perceptibility of the details in three-dimensional objects, such as human tissues compared to conventional absorption imaging. There are different approaches for implementing phase-contrast imaging and their introduction into clinical practice requires advanced computational tools. A long-term goal of our research is the development of computational models of breast phase-contrast imaging. The aim of this study is to develop a software module for implementing grating-based phase-contrast imaging. For this purpose, an existing in-house software application for x-ray imaging with a function to model and simulate propagation-based phase-contrast x-ray images has been extended to include a model of grating-based imaging. To test the new functionality, four computational phantoms reflecting features, which can be screened in the real breast tissue and which differ in their complexity, were designed. Planar x-ray images in absorption, propagation-based and grating-based modes were generated and compared. Results showed improved visual appearance of the simulated objects in images obtained by simulating grating-based imaging setup. The developed subroutine is planned to be experimentally validated at synchrotron facility. The new software functionality will be exploited in studies related to new x-ray imaging techniques for breast screening and diagnosing.

MODELS AND TOOLS OF THE AUTOMATED SYSTEM FOR COMPUTER NETWORK TRAFFIC INVESTIGATION USING BERKELEY PACKET FILTER

An approach for automating the monitoring and analysis of incoming network traffic in large-scale computer networks is proposed in the paper. The authors suggest using the Linux Berkeley Packet Filter tool to automate traffic analysis in computer networks. The software structure is developed, which includes two main parts: the service machine and the user machine, it is based on the modular principle, which allows for rapid improvement and modernization of the system. The main algorithms for software functionality are built, namely: the algorithm for processing network packets using the Berkeley Packet Filter tool, and the algorithm of the user-space program for loading the Berkeley Packet Filter program to kernel space and setting up communication with it. A study model of program functioning dynamics based on the Petri net theory has been developed. As a result of the application of models based on the Petri net in the software development process, the system works correctly, all states are accessible, and there are no dead ends. A simulation model of the application of the Berkeley Packet Filter tool for the automation of computer network traffic analysis was designed, and the script was created for testing the developed software system. Implemented Python script generates a flow of network packets with random values in the sender IP address, receiver port number, and protocol. These packets, created by the IP address spoofing methodology, later are sent to the service machine's network interface. The developed computer network traffic monitoring software, that uses the Berkeley Packet Filter tool and is implemented in C, C++, and Python programming languages, provides collecting and processing of computer network traffic data. The output of the analysed results is displayed in a user-friendly form. The development and testing of the created software were carried out on the operating system Arch Linux version 5.10.3, which was previously installed on a virtual machine. The results of traffic testing in computer networks in different modes of normal operation and during DDoS attacks are given. In particular, an example of sidebar output with network traffic statistics over a long period, an example of output with network traffic spike parameters, and an example of a warning message, that the sidebar dashboard will show, are presented.

Разработка геодинамического программного модуля для оценивания деформаций земной коры по результатам геодезических измерений

The article provides an overview of the capabilities of the free Python library Pycalculix containing a number of procedures for calculating deformations by the finite element method. The methods of creating a grid, shapes and order of elements for which the calculation of deformations can be performed are considered. The process of creating the software Defor(M)aster, the basic requirements for the interface, functionality and presentation of the results are described. The developed software for calculating the parameters of deformation of the Earth's crust based on the results of geodetic measurements has been tested. The reliability of the deformation parameters calculation for the control object was evaluated by comparing the results obtained in the developed software with the results obtained in the ELCUT software package. The analysis of the results indicates a similar distribution and good consistency of the two sets of deformation parameters. The directions of the improvement and software functionality expansion list of are formulated.