Software Quality Requirements Research Articles

A fuzzy logic-based quality model for identifying microservices with low maintainability

Microservice Architecture (MSA) is a popular architectural style that offers many advantages regarding quality attributes, including maintainability and scalability. Developing a system as a set of microservices with expected benefits requires a quality assessment strategy that is established on the measurements of the system's properties. This paper proposes a hierarchical quality model based on fuzzy logic to measure and evaluate the maintainability of MSAs considering ISO/IEC 250xy SQuaRE (System and Software Quality Requirements and Evaluation) standards. Since the qualitative bounds of low-level quality attributes are inherently ambiguous, we use a fuzzification technique to transform crisp values of code metrics into fuzzy levels and apply them as inputs to our quality model. The model generates fuzzy values for the quality sub-characteristics of the maintainability, i.e., modifiability and testability, converted to numerical values through defuzzification. In the last step, using the values of the sub-characteristics, we calculate numerical scores indicating the maintainability level of each microservice in the examined software system. This score was used to assess the quality of the microservices and decide whether they need refactoring. We evaluated our approach by creating a test set with the assistance of three developers, who reviewed and categorized the maintainability levels of the microservices in an open-source project based on their knowledge and experience. They labeled microservices as low, medium, or high, with low indicating the need for refactoring. Our method for identifying low-labeled microservices in the given test set achieved 94% accuracy, 78% precision, and 100% recall. These results indicate that our approach can assist designers in evaluating the maintainability quality of microservices.

Synergizing Quality and Legislative Software Requirements: A Holistic Approach Across the Software Product Lifecycle

Abstract This scientific research investigates the intricate interplay between quality assurance and legislative software requirements, focusing on the holistic integration of these critical components across the software product lifecycle within the realm of Information Technology (IT). As software development and deployment continue to be shaped by an evolving regulatory landscape and an increasing emphasis on quality, the need to align these two pillars becomes fundamental to the success and compliance of software solutions. This study aims to provide a comprehensive examination of the challenges, opportunities, and strategies associated with synergizing software quality and legislative requirements, thereby offering valuable insights for IT practitioners, organizations, and policymakers. The research delves into the diverse stages of the software product lifecycle, encompassing requirements gathering, design, implementation, testing, deployment, and maintenance, and explores the implications of legislative compliance on each phase. By synthesizing industry standards, regulatory frameworks, and best practices, this study seeks to offer a nuanced understanding of the multifaceted landscape of legislative software requirements and their integration with quality imperatives. Moreover, the research endeavours to provide actionable recommendations and key strategies to support IT practitioners and decision-makers in enhancing their software development practices to meet the dynamic demands of regulatory compliance and quality assurance.

My Instructional Tools Software for College Faculty

This study was conducted using the research and development methodology over the course of three stages. The first phase involved conducting a survey to determine the faculty needs in terms of information and communication technology. According to survey findings, faculty members were particularly interested in using offline educational software. The second phase involved creating offline instructional software in accordance with the system development life cycle. The three information technology professionals examined and evaluated the software to verify its quality. Pilot testing and rolling out the program to the faculty were part of phase three. The program was evaluated using the Department of Trade and Industry/Bureau of the Philippines Standards software quality models and the International Standard 25010:2011 Systems and Software Quality Requirements and Evaluation System. Eight characteristics make up this product quality model, which is further broken down into subcharacteristics that relate to software's static and dynamic qualities. The stated quality criteria were used as a checklist to assure a full treatment of quality needs, and offered a framework for anticipating the ensuing effort and activities necessary during system development. When defining or assessing the quality of computer systems or software products, the qualities in the quality in use model and product quality model were meant to be used together as a set.

Development of a Web Portal for the Training and Placement Cell of the College

Abstract: This research paper presents the development of a web portal for the Training and Placement Cell of the college, aiming to enhance the efficiency and effectiveness of the placement process. The web portal automates various activities, including student registration, job postings, resume submissions, and interview scheduling. The project adopts a Waterfall SDLC model for sequential development and incorporates performance, safety, security, and software quality requirements. The results demonstrate improved communication, streamlined processes, and increased accessibility to job opportunities for students. The developed web portal offers a centralized platform for students, recruiters, and TPC administrators, facilitating efficient placement management and data analytics. This research contributes to the advancement of placement processes in educational institutions, improving the student experience and strengthening industry connections.

A non-functional requirements-based ontology for supporting the development of industrial energy management systems

Non-functional requirements (NFRs) are essential in the development of industrial energy management systems (IEMS). This paper presents a comprehensive ontology model for NFRs in IEMS, derived from an extensive survey of NFRs in both the software industry and the energy domain. The proposed ontology encompasses four critical factors influencing the quality attributes of IEMS: technologies, stakeholders, markets, and regulations. Implemented using the OWL 2 DL standard, the ontology model aims to provide a clear and consistent understanding of NFRs and their relationship to the energy domain, as well as identify which factors have a significant impact on the environmental performance of IEMS. The ontology is evaluated through various methods, such as technical validation, user evaluations, its applications in RDF data management, and application-based evaluation, including software architecture, knowledge base data model design, and regulatory framework design. By understanding the link between software quality requirements and the characterizing factors of the energy domain, as provided by our ontology model, this information can be used to inform life cycle assessments and quantify potential reductions in energy consumption, emissions, waste generation, and other environmental impacts associated with implementing cleaner and more sustainable solutions. The results demonstrate that the proposed ontology effectively supports IEMS development and serves as a foundation for developing reusable and adaptable software systems across different industrial domains.

Development and Testing Requirements for an Integrated Maternal and Child Health Information System in Iran: A Design Thinking Case Study.

Management of child health care can be negatively affected by incomplete recording, low data quality, and lack of data integration of health management information systems to support decision making and public health program needs. Given the importance of identifying key determinants of child health via capturing and integrating accurate and high-quality information, we aim to address this gap through the development and testing requirements for an integrated child health information system. A five-phase design thinking approach including empathizing, defining, ideation, prototyping, and testing was applied. We employed observations and interviews with the health workers at the primary health care network to identify end-users' challenges and needs using tools in human-centered design and focus group discussion. Then, a potential solution to the identified problems was developed as an integrated maternal and child health information system (IMCHIS) prototype and tested using Software Quality Requirements and Evaluation Model (SQuaRE) ISO/IEC 25000. IMCHIS was developed as a web-based system with 74 data elements and seven maternal and child health care requirements. The requirements of "child disease" with weight (0.26), "child nutrition" with weight (0.20), and "prenatal care" with weight (0.16) acquired the maximum weight coefficient. In the testing phase, the highest score with the weight coefficient of 0.48 and 0.73 was attributed to efficiency and functionality characteristics, focusing on software capability to fulfill the tasks that meet users' needs. Implementing a successful child health care system integrates both maternal and child health care information systems to track the effect of maternal conditions on child health and support managing performance and optimizing service delivery. The highest quality score of IMCHIS in efficiency and functionality characteristics confirms that it owns the capability to identify key determinants of child health.

Assisting Personalized Healthcare of Elderly People: Developing a Rule-Based Virtual Caregiver System Using Mobile Chatbot.

To assist personalized healthcare of elderly people, our interest is to develop a virtual caregiver system that retrieves the expression of mental and physical health states through human–computer interaction in the form of dialogue. The purpose of this paper is to implement and evaluate a virtual caregiver system using mobile chatbot. Unlike the conventional health monitoring approach, our key idea is to integrate a rule-based virtual caregiver system (called “Mind Monitoring” service) with the physical, mental, and social questionnaires into the mobile chat application. The elderly person receives one question from the mobile chatbot per day, and answers it by pushing the optional button or using a speech recognition technique. Furthermore, a novel method is implemented to quantify the answers, generate visual graphs, and send the corresponding summaries or advice to the specific elder. In the experimental evaluation, we applied it to eight elderly subjects and 19 younger subjects within 14 months. As main results, its effects were significantly improved by the proposed method, including the above 80% in the response rate, the accurate reflection of their real lives from the responses, and high usefulness of the feedback messages with software quality requirements and evaluation. We also conducted interviews with subjects for health analysis and improvement.

Utilization of the algebraic method in the design and development of the ChemRxnCalc mobile application prototype

Responding to the need to create an “equitable learning space” for Chemistry students in the new normal classes, the authors designed a mobile application prototype named ChemRxnCalc. It is intended to help students balance chemical equations by predicting products and their coefficients from given chemical reactants accurately and using the algebraic method. Upon the development of the mobile application prototype for Android mobile phones, it was subjected to an initial validation by eight (8) Chemistry teachers deemed to be the subject-matter experts and which yielded a high usability percentage following the software quality requirements set by the ISO/IEC 25010. It is recommended for second-phase validation by students. This could be accomplished by uploading the e-tool to the RedCanvas learning management system (LMS) of the University. The initial target users are the Senior High School and College Students of San Beda University, Manila, and probably, the Mendiola Consortium who are taking up General Chemistry and/or Inorganic Chemistry. Consequently, once the ChemRxnCalc mobile application prototype has been validated by both experts and students, it is intended to be patented thru registration in the Intellectual Property Office of the Philippines (IPO). It is also targeted to be registered and uploaded in the Google Playstore and Apple Appstore for consumption of a bigger teacher and student population.ReferencesBraun V. & Clarke V. (2019) Reflecting on reflexive thematic analysis, qualitative research in sport, exercise and health, 11:4, 589-597, http://doi.org/10.1080/2159676X.2019.1628806Braunschweigh D. (n.d.) Input-process-output model. Rebus community. Programming Fundamentals. Creative Commons Attribution-Share Alike 4.0 International LicenseBritton, J. (n.d.) What is ISO 25010? https://www.perforce.com/blog/qac/what-is-iso-25010Calaprice, A. (2010) The quotable Einstein. http://www.goodreads.comCharnock, N. (2016). Teaching methods for balancing chemical equations: An inspection versus an algebraic approach. http://pubs.sciepub.com/education/4/7/2/index.htmlCreswell, J. W. (2014). Research design: Qualitative, quantitative and mixed methods approaches (4th ed.). Sage., J.Creswell, J.W. and Plano Clark, V.L. (2011) Designing and conducting mixed methods research. (2nd Ed.), Sage Publications.Curtis, H. (1922). The algebraic method of balancing a chemical equation. Science, 56(1444), 258-260. http://www.jstor.org/stable/1647136Gabriel, C.I. & Onwuka, G.I. (2015) Balancing of chemical equations using matrix algebra. Journal of Natural Sciences Research, 3, 29-36.Gibbs, G. R. (2007). Qualitative research kit: Analyzing qualitative data. SAGE Publications, Ltd http://doi.org/10.4135/9781849208574Hamid, I. (2019). Balancing chemical equations by systems of linear equations. Applied Mathematics. 10. 521-526. 10.4236/am.2019.107036. https://www.researchgate.net/publication/334396583_Balancing_Chemical_Equations_by_Systems_of_Linear_EquationsIPOPHIL (n.d.). Intellectual property office of the Philippines. http://wwww/iphophil.gov.phkotlinlang.org (n.d.). Kotlin.v.16.21 Website. https://kotlinlang.org/docs/faq.html#where-can-i-get-an-hd-kotlin-logoMacCuspie R.I. & Drake C. (2014). A framework for identifying performance targets for sustainable materials. Science Direct.1-2. 17-25Parker, C., Scott, S. and Geddes, A. (2019) Snowball sampling. SAGE Research Methods Foundations. (In Press) UN DESA (2020). SDGs Learning, Training and Practice- 2020 Edition Report. http://www.sdgs.un.orgRichey, R. (1994) Developmental research: The definition and scope. ERIC.ed.gov. http.ERIC.ed.https://eric.ed.gov/?id=ED373753Saberon, C.B. (2021) Development and pilot validation of E-SCRIBE: An E-Learning aid that utilizes algebraic expressions in solving chemical reaction problems. An Unpublished Master Thesis. The National Teachers CollegeSutton, M. (2020, September 21). How to develop a new product (From concept to market). https://www.shopify.com.ph/blog/productdevelopment-processVasquez, J. (2018). The importance of mathematics in the development of science and technology [PDF]. http://verso.mat.uam.es/~juanluis.vazquez/reptmath.pdf

PROCEDURE FOR DEBUGGING REPLICA CLASS ERRORS IN RULE-ORIENTED KNOWLEDGE BASES

The problems of error detection by experts in the rule-oriented knowledge bases of oriented information systems, which occurring at the stage of the knowledge base formation, are considered. It has been determined that such errors are associated with the contradictory opinions of experts and / or the limited (imperfect) description of the subject area. The approaches to their debugging were analyzed. The ways of improving the existing approaches to debugging static errors of the “replica” class and possible ways of applying the obtained solutions to eliminate errors “contradictoriness”, “redundancy”, “incompleteness” have been shown. Considering the requirements for the accuracy of information presentation, the solutions for expanding the content of the definition of the static error of the rule-oriented knowledge base have been proposed. The issues of the influence of the "replica" class errors on the results of output in accordance with the rules of the rule-oriented knowledge base were considered. The possibility of using graph theory methods for solving the problem of debugging errors of the "replica" class has been proved. The algorithmic structures for identifying and debugging errors of the specified class, which in contrast to existing solutions allow to identify duplicate apexes at each rank of the graph to which the rule-oriented knowledge base is amounted to, have been developed. A software implementation of detecting and debugging static errors of incomplete, fragmentary and complete duplication has been developed. Due to usage of recursion, the requirements for preparing an array of input data for processing were reduced. The solutions obtained are compatible with the requirements of DSTU ISO / IEC 9126, DSTU ISO / IEC 14598 and consider the requirements of the Software Quality Requirements and Evaluation family of standards as the value of the apexes of the event tree graph. In the process of solving the problem, the specifics of the functioning of the man-machine system was considered. In particular, the possibility of formalizing various aspects of knowledge (alethic, dissisional, casual, dianistic) and assurance of a given level of operativeness in finding solutions has been accounted.

User Experience Dimensions for E-procurement

The use of e-procurement is needed for business transactions, especially regarding procurement activities. However, system users always demand and expect to use the system without problems. Existing studies on e-procurement do not focus on user experience (UX). Only a few studies have identified dimensions for UX evaluation; however, they are for e-government online services and construction. Identifying the UX dimensions for e-procurement is important for measuring user experience to provide better services. Therefore, this study attempted to investigate and determine the dimensions of user experience for e-procurement. The method for selecting articles was adopted from the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). The study analysed the data using thematic analysis based on the Systems and software Quality Requirements and Evaluation (SQuaRE) standards, such as ISO 25022:2016 and ISO 25023:2016, as guidance. The findings showed that among the most used UX dimensions in the e-procurement literature were satisfaction, security, transparency, efficiency, and reliability. Other UX-related dimensions identified from the review were usability, compatibility, effectiveness, performance efficiency, functional suitability, attractiveness, explainability, fairness, and visibility. The study was conducted to identify the UX dimensions for e-procurement from literature studies by organising them using ISO 25022:2016 and ISO 25023:2016 standards. This study could serve as a guideline for designers, developers, and researchers to develop an e-procurement system by referring to the proposed UX dimensions to produce a positive user experience. Moreover, the findings are beneficial to practitioners on software quality attributes.

Analysis of Testing Methods of Large-scale Information Software

Software testing is an extremely important work link in software engineering. It runs through the entire life cycle of software engineering to ensure that software development meets requirements and can meet certain software quality requirements. With the continuous expansion of the scale of information systems, simple software testing can no longer meet the requirements of system and software quality assurance. This requires practitioners to gradually begin to think about and improve the testing methods of large-scale information software. For large-scale information software, testing will be embedded in each unit, and the software testing process will be organized in a more macroscopic way of thinking and organization. This article will summarize a series of methods suitable for large-scale information software testing through the research of software testing and the practice of the author. It is hoped that the research in this article can provide some help for the testing of large-scale information software, and also provide help for the precipitation and improvement of the author's own work.

Software quality model based on SQuaRE standards

Quality is one of the factors that ensure the commercial success and safety of using the software. Quality is understood as conformity the explicit and implicit requirements of various stakeholders. It is necessary to ensure a joint understanding between developers and users, engineers need to understand the meaning of the concept of quality, characteristics and importance of quality for the developed or maintained software. Measurements are the basis for quality assurance. They are the main tool for managing the life cycle of software products, assessing the implementation of plans and monitoring. To quantify quality, it is necessary to measure the characteristics of the software. Standardization provides unification of requirements for quality, its measurement and assessment. The use of standards has many potential benefits for any organization, especially in key areas such as measuring the quality of software products, information and measurement systems. Recognized international standards organizations have published the ISO/IEC 25000 series of standards for systems and software quality requirements and evaluation SQuaRE, which is gaining widespread practical application. The paper discusses a series of international standards SQuaRE, analyzes the relationship between the quality model, quality characteristics, quality measures and a new concept – a quality measure element of the software, presents the measurement of quality based on these standards.

Measurement of software quality based on international standards

Quality is one of the factors that ensure the commercial success and safety of using the software. Quality is understood as conformity the explicit and implicit requirements of various stakeholders. It is necessary to ensure a joint understanding between developers and users, engineers need to understand the meaning of the concept of quality, characteristics and importance of quality for the developed or maintained software. Measurements are the basis for quality assurance. They are the main tool for managing the life cycle of software products, assessing the implementation of plans and monitoring. To quantify quality, it is necessary to measure the characteristics of the software. Standardization provides unification of requirements for quality, its measurement and assessment. The use of standards has many potential benefits for any organization, especially in key areas such as measuring the quality of software products, information and measurement systems. Recognized international standards organizations have published the ISO/IEC 25000 series of standards for systems and software quality requirements and evaluation (SQuaRE), which is gaining widespread practical application. The paper discusses a series of the SQuaRE international standards, analyzes the relationship between the quality model, quality characteristics, quality measures and a new concept, i.e., a quality measure element of the software, presents the measurement of quality based on these standards.

Evaluate and control service and transaction dependability of complex IoT systems

Observing and controlling the dependability of service provision of complex IoT systems is challenging. In practice, many organizations struggle to derive consumer needs related to quality and to observe and quantify the service provision in the context of the dynamic behavior of a complex distributed system. In this paper, we present an approach to define and evaluate the dependability of complex IoT systems. Our approach is an adaptation of the ISO/IEC 25040, an international standard for the evaluation process for system and software quality, which is part of the systems and software quality requirements and evaluation (SQuaRE) series. Our approach was designed and evaluated with action research in an industrial study at Robert Bosch GmbH. Based on the framework of the SQuaRE series, we integrated different elements of site reliability engineering (SRE) and combined them with distributed tracing as a promising measurement method. Our approach introduces the IoT transaction concept to reduce modeling and observation efforts while increasing operationalization to measure performance against dependability targets. Our adaption was effectively applied, consumer-centricity along different system stakeholders were enhanced, and negative consequences of organizational silos were reduced. This has improved the dependability evaluation of service provision to enable fast feedback cycles for service performance control and improvement.

E-Recycle Bin: An IoT Based Model for Solid Waste Management

This study focused on developing a Smart Bin Prototype by integrating Internet of Things(IoT) Technology in a Barangay Based Material Recovery Facilities (BBMRF) that is capable of printing a receipts based on the equivalent value of recyclable waste deposited in the bin which is called the e-Recycle Bin. The generated data from the e-Recycle Bin prototype is send in the clouds used by the web application to generate analytical report for monitoring purposes. This research used descriptive method and Rapid Application Development (RAD) methodology in developing the e-Recycle Bin prototype. This study explored the used IoT components namely, Rapsberry pi, Arduino Mega, SIM800 GSM Module, Straight Bar Load Sensor, Ultrasonic Sensor, IR Proximity Sensor, 2x4 LCD Monitor, and thermal printer. The IT experts evaluated the project and at overall weighted mean of 4.91 and a qualitative description of Very High Extent of compliance with ISO 25010:2015 Software Quality Requirements. This study sought the implementation of the developed system in the City of Ilagan to help mitigate solid waste problems and encourage waste recycling among the city residents.

Evaluating Software Quality Attributes using Analytic Hierarchy Process (AHP)

The use of quality software is of importance to stakeholders and its demand is on the increase. This work focuses on meeting software quality from the user and developer’s perspective. After a review of some existing software-quality models, twenty-four software quality attributes addressed by ten models such as the McCall’s, Boehm’s, ISO/IEC, FURPS, Dromey’s, Kitchenham’s, Ghezzi’s, Georgiadou’s, Jamwal’s and Glibb’s models were identified. We further categorized the twenty-four attributes into a group of eleven (11) main attributes and another group of thirteen (13) sub-attributes. Thereafter, questionnaires were administered to twenty experts from fields including Cybersecurity, Programming, Software Development and Software Engineering. Analytic Hierarchy Process (AHP) was applied to perform a multi-criteria decision-making assessment on the responses from the questionnaires to select the suitable software quality attribute for the development of the proposed quality model to meet both users and developer’s software quality requirements. The results obtained from the assessment showed Maintainability to be the most important quality attribute followed by Security, Testability, Reliability, Efficiency, Usability, Portability, Reusability, Functionality, Availability and finally, Cost.

An Empirical Investigation on the Effect of Code Smells on Resource Usage of Android Mobile Applications

Code smells refer to suboptimal coding practices which impact software quality and software non-functional requirements such as performance, maintainability, and resource usage. Although desktop application code smells have been extensively studied in the literature, mobile applications are relatively new in nature, and the effect of code smells is only recently being studied on mobile devices. This paper investigates the effect of code refactoring on enhancing both CPU usage and Memory usage. It presents a study of three code smells: HashMap Usage, Member Ignoring Method and Slow Loop, and eight open-source applications were selected from Github for testing purposes. The three aforementioned code smells were refactored individually and cumulatively to study their effects on a mobile phone’s resource usage, with CPU usage and memory usage as the metrics of choice. The resource usage of five different versions of eight different mobile applications were measured to find the optimal refactoring strategy. The results obtained suggest that refactoring HashMap Usage and Member Ignoring Methods yielded significantly an average improvement in CPU usage of 12.7% and 13.7% respectively, while the refactoring of all three code smells yielded an improvement of up to 7.1% in memory usage. This research shows that certain refactoring methods have significant impacts on improving both the CPU usage and Memory usage. These statistically significant results can be used as the basis of guidelines to assist in writing codes which utilize smartphones’ resources more efficiently and enhance their quality.

Debugging procedure of the replica class errors in the production knowledge bases

The problem of detecting errors in the production knowledge bases of knowledge - oriented information systems that arise at the stage of formation of the knowledge base by experts is considered. It was determined that such errors related to the conflicting opinions of experts and/or limited (imperfect) description of the subject area. There was analyzed approaches for their debugging. Ways to improve existing approaches for debugging static replica errors was shown. Possible ways of applying the obtained solutions to debug errors "contradiction", "redundancy", "incompleteness" was shown. Solutions for expanding the formalized definition of static error of the production network, considering the requirements for the accuracy of information was suggested. The issues of the influence of errors of the “replica” class on the results of derivation according to the rules of the production knowledge base was considered. The possibility of applying the methods of graph theory to solve the problem of error reduction of the "replica" class is proved. An algorithmic structure for detecting and debugging errors of this class has been developed. It allows, in contrast to existing solutions, to detect duplicate vertices at each rank of the graph to which the production knowledge base is reduced. Software implementation for detection and debugging of static errors of incomplete, partial, and complete duplication was developed, using recursion, which allows to reduce the requirements for preparing an array of input data for processing. The obtained solutions meet the requirements of DSTU ISO / IEC 9126, DSTU ISO / IEC 14598 and consider the requirements of the series of standards Software Quality Requirements and Evaluation as the values of the vertices of the graph of the event tree. During problem solving process specifics of the LMS operation are considered, first of all formalizing possibilities in the various aspects of knowledge (aletic, dissociative, causal, diontic) and ensuring a given level of efficiency in finding solutions.

Online Support Management System for University of Antique

This paper discussed the development of an Online Support Management System to have a centralized system to support the information technology needs of every department of the University of Antique, in effect, to support the needs of the students. The system was developed using the modified Software Development Life Cycle Waterfall Model using six phases – Conceptualization, Technical Feasibility, Development, Pilot Testing, Creation of User’s manual, and Evaluation of Online Support Management System. Each phase must be completed before the next phase can begin and there is no overlapping in the phases. The researcher anchors the study on Research and Development (R&D) which aims to create a new body of knowledge about existing products or processes, or the creation of an entirely new product. Unstructured interviews, document analysis, and modified survey-questionnaire adapted from ISO/IEC 25010: 2011 Systems and Software Quality Requirements and Evaluation (SQuaRE) - System and software quality models had been conducted for data collection. The findings showed that three groups of the respondents were satisfied with the features and capabilities of the Online Support Management System and complied with the requirements or specifications based on ISO/IEC 25010: 2011 standards. Though the respondents are satisfied with their evaluation of the developed Online Support Management System, the result revealed that there was a significant difference noted in the evaluations of the respondents. This result implies that the evaluation made by the three groups of respondents significantly differs from one another in terms of functional suitability, performance efficiency, compatibility, usability, reliability, security, and maintainability.

The method of increasing the efficiency of the man-machine system functioning by improving the quality of decision support system software

The article addresses improving the performance of man-machine systems (MMS) by improving the quality of decision support system software (DSSS). The proposed solutions are based on existing models and methods, which have been analysed in detail in a scientific study, in particular the application of methodical static application debugging in certain solutions obtained. It is proposed to use the methods for solving the problem of MMS control according to the vector criterion as the basis for solving this problem. A mechanism for synthesizing a comprehensive plan of operations to improve the quality of the DSS software is proposed, and the possibility of analysing the step-by-step implementation of a plan to obtain an analytical assessment is shown. For this purpose, a comprehensive plan is presented in the form of a relevance tree, built in accordance with the provisions of graph theory and the rank approach. The time complexity of the algorithms implementing the relevance tree tasks was evaluated. Based on the formalized solutions obtained, it was found that the maximum number of edges for a graph that implements the relevance tree does not exceed , the number of views of edges does not exceed , that is, the total number of operations that implements the scanning of edges and adding them to the weighted minimum cover (WMC) does not exceeds . It is established that during the implementation of the operation of adding ribs in the WMC, at each step, after the fixation of the previous result, the number of ribs to be examined decreases, so the total complexity of the algorithms will not exceed . The solutions obtained meet the requirements of DSTU ISO/IEC 9126, ISO DSTU / IEC 14598, and take into account the requirements of the Software Quality Requirements and Evaluation series of standards as the value of the vertices of the event tree graph. In the process of solving the problem, the specificity of the functioning of the MMS was taken into account, the possibility of formalizing various aspects of knowledge (aesthetic, disizional, causal, diontic) and ensuring a given level of efficiency in finding solutions.