Software Quality Models Research Articles

Software Quality Models and Reliability Measurement Metrics

Software reliability is the probability that the software will run without failures for an unlimited time until and unless changed intentionally. It is a crucial characteristics of quality with other essential characteristics. Software reliability measurement is an important concern for any organization to master its software before reaching to end users. A literature review shows that much wok has not been done in this direction. Although achieving software reliability is hard due to software's complex nature but different techniques can be applied to enhance its reliability. Every organization has its own metrics for reliability measurement. There is a need to define metrics according to international standards. In this paper we will analyze software quality and reliability metrics thoroughly.

Development of Software Quality Assessment Model for Mobile-based Elderly Fall Detection Software

The purpose of this research is to build a software quality assessment model to evaluate the quality of mobile-based elderly fall detection software. The assessment is based on the quality factors found in the software quality model. The quality factor is adjusted to the characteristics of the software. The model is needed because the software has its own characteristics. This research consists of several stages. The first thing to do is analysing the software domain to determine its characteristics. The second is defining the software assessment needs by mapping software characteristics with the quality standards used (ISO / IEC 25010: 2011) to obtain the appropriate quality factors. The software quality metrics is determined after the quality factors is obtained. The metric to be used is Goal Question Metrics (GCM). The third is software quality weighting process, including its criterias and sub-criterias. Determination of the equation for software quality assesment is the final stage of the research. Based on the reseach process, it can be concluded that the model developed successfully can be used to assess the software.

Theses and Capstone Projects Plagiarism Checker using Kolmogorov Complexity Algorithm

In education, students attempt to copy previous works and are relying on prepared solutions available on the Internet in order to meet their requirements. This action leads to plagiarism, which is becoming part of educational institutions’ concern to reduce growing academic dishonesty. With regards to the aforementioned issue, this study aims to design and develop a plagiarism checker capable of registering documents, granting access to users, and calculating the similarity between documents. Thus, the software was constructed using HTML, PHP, JavaScript, CSS, and MySQL. The developed system is composed of three main modules; the Document Search which enables users to browse documents, the Document Registration which enables the administrator to add and manage the stored documents, and the document Comparison, which serves as the system plagiarism detection mechanism. The algorithm Normalized Compression Distance was used to measure similarity and the Boyer-Moore Algorithm to highlight the suspected plagiarized document. Moreover, tests were conducted to determine if the system is functioning as expected and to measure the accuracy of the output produced by the system. The developed system was evaluated using the ISO 25010 software quality model in terms of Product Quality and was rated by one hundred respondents. The system obtained a mean of 4.70 which is equivalent to “excellent” in descriptive terms. This validates that the objectives of the study were met and achieved. This further indicates that the system was developed according to its desired functions and requirements.

Theses and Capstone Projects Plagiarism Checker using Kolmogorov Complexity Algorithm

In education, students attempt to copy previous works and are relying on prepared solutions available on the Internet in order to meet their requirements. This action leads to plagiarism, which is becoming part of educational institutions’ concern to reduce growing academic dishonesty. With regards to the aforementioned issue, this study aims to design and develop a plagiarism checker capable of registering documents, granting access to users, and calculating the similarity between documents. Thus, the software was constructed using HTML, PHP, JavaScript, CSS, and MySQL. The developed system is composed of three main modules; the Document Search which enables users to browse documents, the Document Registration which enables the administrator to add and manage the stored documents, and the document Comparison, which serves as the system plagiarism detection mechanism. The algorithm Normalized Compression Distance was used to measure similarity and the Boyer-Moore Algorithm to highlight the suspected plagiarized document. Moreover, tests were conducted to determine if the system is functioning as expected and to measure the accuracy of the output produced by the system. The developed system was evaluated using the ISO 25010 software quality model in terms of Product Quality and was rated by one hundred respondents. The system obtained a mean of 4.70 which is equivalent to “excellent” in descriptive terms. This validates that the objectives of the study were met and achieved. This further indicates that the system was developed according to its desired functions and requirements.

PRIORITIZATION OF SERVICE QUALITY CRITERIA FOR HOTEL MANAGEMENT SYSTEMS USING ANALYTICAL HIERARCHY PROCESS

With the software developed in line with society's needs, the importance of technology is gradually increasing. With this developed software, people and institutions can achieve the most economical results by using less time and labor. In light of these developments, the importance of quality software is also increasing. This study aims to prioritize the service quality of the software used in the accommodation establishments with the Analytical Hierarchy Process (AHP) method of the most commonly used ISO / IEC TS 25011: 2017 software quality model criteria and to determine the best software criteria for users.In the research, after the evaluations regarding software service quality within the framework of ISO / IEC TS 25011: 2017 software quality model, using the AHP, the findings obtained prioritize the criteria regarding Property Management Systems (PMS) software service quality according to tourism and accommodation enterprises. According to the main criteria, the findings were found as Information Technology Service Adaptability, Tangibility, Information Technology Service Maintability, Information Technology Service Reliability, Usability, Enthusiasm, Security and Suitability. These findings will guide the companies that provide software services to tourism and accommodation enterprises to improve the quality of the services.

Analysis and Assessment of Existing Software Quality Models to Predict the Reliability of Component-Based Software

Analysis and Assessment of Existing Software Quality Models to Predict the Reliability of Component-Based Software

Evaluation of information systems user interface by means of software quality`s models

The concept of information systems user interface quality has multidimensional content, which is difficult to isolate and measure due to the lack of a formalized model for assessing quality and terminological differences of quality indicators in standards. This work is aimed at finding solutions for using well-known software quality models in the interest of evaluating the user interface. The ratio of user interface assessment parameters to their presence in software quality assessment models is established; drawn regarding their evolutionary transformation are conclusions.

Software quality analysis based on cost and error using fuzzy combined COCOMO model

Software quality analysis and estimation is essential in developing a software to avoid faults and increase the reliability. Software quality model (SQM) is highly concerned with standard metrics to qualify the software modules to classify bug or no bug. By using these models, it is easy to identify the hurdles called as errors or faults Apriori to the development cycle. More likely the metrics will not follow the standard protocol in terms of size, performance, technology and the complexity involved. It will vary across the projects. Surprisingly there is no model-based architecture driven tool is available to intact the baseline estimates of the project based on the previous knowledge resource. In earlier research works, various quality assurance metrics are used for analysing the SQ. Also, there is no existing approaches can do earlier prediction of the faults/errors or reduced misclassification rates. But, the COCOMO (COnstructive COst MOdel) gives an approximate estimate in terms of the month constant will not be same for simulating the study. Hence By combining more than one model estimates COCOMO and Gaussian Membership Function software estimate relative error will be the best suite. A fuzzy-based analogy is obtained in the present study to select the nearest path from the history available to meet the project cost and time. Small or standard training sets were considered to deploy the estimate, and compare the performance with different estimators. From the experiment, it is concluded that the proposed fuzzy-COCOMO model outperforms than the existing approaches in terms of relative error.

Multi-criteria software quality model selection based on divergence measure and score function

Multi-criteria software quality model selection based on divergence measure and score function

A systematic literature review and comparative study of different software quality models

Every organization wants to run with profit only and it is a common trend to acquire the new technologies, methods and models to enhance the quality of software product. Quality of product is directly proportional to the value of the product and the profit of the organization. Different quality model are used by different organization foundation upon the requirements. Different thoughts of software quality attributes with various software quality models are evaluated and examined in this survey. Also researcher performed comparative study of different software quality models utilized by different organizations. Making software by using open source software (OSS) and commercial of the shelf (COTS) component is very useful for any organization. So as to quantify quality in software, quality models can be used to check the quality of existing COTS and OSS software components. The purpose of this research is to do the comparative study to check software quality prediction using COTS and OSS components. In this survey the researcher do study of more than 100 papers and identified that OSS as the development technique is more better then COTS development. Because COTS development is black box in nature, so some tradition quality metrics cannot be apply but in case of OSS as development methodology source code is available. So we can apply all software quality metrics to assess the OSS quality. But still there is no proper technique, model and tool is available by which we can evaluate the quality of OSS. In future the researcher can improve the software quality by creating some tools and models for estimation of quality characteristics according to the modified ISO-9126 quality assurance model for OSS.

ЗАСТОСУВАННЯ ЕМПІРИЧНИХ МОДЕЛЕЙ І МЕТРИК ХОЛСТЕДА ДЛЯ ОЦІНЮВАННЯ ЯКОСТІ ДОДАТКІВ ПРОГРАМНОГО ЗАБЕЗПЕЧЕННЯ

The application of empirical models and Halsted metrics to evaluate software quality is considered. The subject of the study are methods of measuring the reliability of software and its calculation model. The purpose of the work is to perform a promising direction for further research of analytical and empirical models of software reliability. The object of the study is the process of evaluating the quality of the soft-ware, which requires a large number of tasks. This leads to a variety of approaches, methods and tools. Objectives: to carry out comparative analysis of analytical and empirical models of software reliability and quality; describe models and methods for benchmarking these software reliability models; to test and evaluate the effective-ness of the models and methods used for the comparative analysis of the analytical and empirical models of the software's reliability. The methods used are software developed that, using Halsted metrics and static code analyzer methods, allows you to evaluate the complexity and quality of software products. This makes it possible to comprehensively consider all aspects related to analytical and empirical models. As a result, software has been developed that, using Halsted metrics and static code analyzer methods, makes it possible to evaluate the complexity and quality of software products. The software performs the following functions: graphing various parameters; outputting information from graphs to text view (with values obtained during the experiment). The lexical analyzer builds graphs that display the following information about the modules analyzed: commenting; accurate and approximate quality level; real and theoretical length; informative; spent intellectual effort. Conclusions. The relevance of comparative analysis of analytical and empirical models of software reliability is determined by the fact that most software is unreliable. The scientific novelty of the obtained results is as follows: by means of comparative analysis of analytical and empirical models of reliability of software functioning, to study in detail the mod-els of reliability and to increase the reliability of software.

A Case Study for Software Quality Evaluation Based on SCT Model With BP Neural Network

With the increasing for function, scale, hierarchy and complexity of software project, the software life cycle and development stage show a trend of cross-cutting and fuzzy boundary. The non-technical factors, such as poor management and control during the implementation of software projects, are the major reason for causing the low success rate of software projects recently. Therefore, the software quality evaluation under complex environment should take the cross-influence between different stages of software life cycle and different quality evaluation standards into consideration. Our research is to construct a new software quality evaluation model by using the influence relationship and the influence intensity index between project management domain and project quality evaluation criteria including scope, cost, and time. First, we came up with the definition of software project management domain in the process of software project development and management. Second, we proposed a mathematical method for extracting the direct or indirect influence relation between them, and give a definition for the quantitative evaluation index and its calculation formula. At last we proposed to construct a neural network training model which includes evaluation model logic relationships and software quality quantitative evaluation index. Through study and training by simulated software project management data, we can discover some key data, such as normal threshold range of influence, factor weights, etc. Therefore, a complete evaluation system is built, and the scientific nature and accuracy of the proposal evaluation system will be improved.

Svs: Prediction Framework for Software Quality Enhancement through Data Mining Techniques

Software Engineering has its origins in tackling the issue of development and maintenance of quality software. Software Quality has been defined in multiple ways but the broadest definition is that quality is the extent to which the customer is satisfied with the developed software. Data mining has the prospects of being applied to multiple domains and addressing the long standing issues faced by them. It has been successfully applied to uncover solutions to complex problems that have long confronted these domains. The proposed research is a step in the direction. It will attempt to apply existing data mining algorithms to data accumulated by software organizations in an attempt to extract useful patterns that can go a long way in addressing the issue of software quality. This work proposed Spacious Virtue Suggestion (SVS) Model for analyzing code based quality in software quality model. The first layer of this model is Extraction Layer that extracts the various attributes of software code used. After the extraction of the metrics attributes are constructed as a vector is considered as the feature vector for the second layer of the SVS Model. The second layer of the SVS model is Selection Layer which employs feature selection strategy to obtain significant metrics attributes for the software quality prediction by reducing the overlapping metrics attributes from the vector... The third layer of SVS Model is Prediction Layer which predict the good class from the training set and result shows the high accuracy in the proposed system.

’A--VENUE’: ONLINE VENUE RESERVATION SYSTEM FOR RECOGNIZED STUDENTORGANIZATIONS OF ADAMSON UNIVERSITY

Adamson University has a diverse community where students are engaged in different activities in line with their academic field and extra--curricular activities. There are three types of student organizations in the university;; academic, socio--civic and religious. These organizations are collectively known as Recognized Student Organizations (RSOs), administered by the Office for Student Affairs (OSA). This office oversees all organized events together with Physical Facilities and General Services Office (PFGSO) for the venue reservation and approval. The aforementioned offices are currently using the traditional pen and paper method for event processing. The main goal of this research is to develop an Online Venue Reservation System that can be used to manage and process event data and help reduce problems encountered, such as data redundancy, data loss, and excessive paper use. The study used qualitative research wherein qualified respondents from OSA, PFGSO, and RSO’s were chosen using purposive sampling. This developed web application allows different users to request, monitor, and approve or disapprove a venue reservation request as well as generate reports when necessary. The website was evaluated using ISO 25010 Software Quality Model by the target respondents. The survey showed that the developed system was assessed as “Good” in terms of functionality suitability, performance efficiency, compatibility, usability, reliability, security, maintainability and portability. In terms of compatibility, the website was rated “Fair”. Furthermore, the respondents also evaluated the website as “Highly Feasible” in terms of technical, operational, economic and environmental considerations.

ПІДХОДИ ЩОДО ОЦІНЮВАННЯ ЯКОСТІ СПЕЦІАЛЬНОГО ПРОГРАМНОГО ЗАБЕЗПЕЧЕННЯ НА ПРИКЛАДІ ІНФОРМАЦІЙНИХ СИСТЕМ, ПРИЗНАЧЕНИХ ДЛЯ ПІДВИЩЕННЯ ЕФЕКТИВНОСТІ УПРАВЛІННЯ

У статті розкриваються погляди на методологію та порядок оцінювання спеціального програмного забезпечення з урахуванням вимог Національних стандартів України ДСТУ ISO/ІЕС 25010:2016 (ISO/ІЕС 25010:2011, IDT). “Інженерія систем і програмних засобів. Вимоги до якості систем і програмних засобів та її оцінювання. Моделі якості системи та програмних засобівˮ та ДСТУ ІS0/ІЕС 9126-1:2013 (ІS0/ІЕС 9126 1:2001, IDТ). “Програмна інженерія. Якість продукту. Частина 1. Модель якостіˮ.
 Як приклад розглядається перевірка якості спеціального програмного забезпечення для управління військами.

A Feasibility Study on Infectious Disease Surveillance System for Barangay Health Centers of Makati City

Purpose – An Infectious Disease Surveillance System will allow for the easier transition of the latest medical reports from all public medical facilities in the City and detect any epidemic or outbreak, based number of reports per disease and its corresponding geolocation, as well as existing predictive or seasonal models and historical data from the local health department. Method – The researchers utilized the descriptive developmental approach, where a feasibility study was conducted first before creating a prototype and used surveys, questionnaires, and interviews to gather data. In system development, the waterfall model was used, developed the different module or units individually, tested it then integrated the modules into singular system and finally tested it again. Results – The developed Infectious Disease Surveillance System was evaluated by randomly-selected personnel from the IT and non-IT group in terms of functional suitability, compatibility, usability, reliability, and security of the ISO 25010 software quality model and obtained an overall evaluation of Very Acceptable with an overall composite mean rating of 4.33. Conclusion –The developed system is feasible according to the results of the product, organizational, financial, technical, and market feasibility analysis. Most respondents believed that the system was interesting and expressed various degrees of desire to procure the system for their professional needs. The developed system has a moderate to high potential attractiveness to the industry given its timeliness and relevance. However, factors that may affect marketability include the reduction of budget allotment for healthcare by the national government and minimal number of potential customers (public and private health institutions). Recommendations – Based on the conclusions derived from the conduct of this study, the following suggestions are recommended, maximize the rollout of the Makatizen Cards to include children to ensure every citizen can be detected in the system database; utilize the location data of confirmed cases of an infectious disease to track the spread of the disease from one person to another which will be useful in identifying the patient zero of a new previously undiscovered infection and; the developed system can be integrated with the existing disaster and risk management system of Makati City.

Analysis of Software Quality Models for ERP Software Use in University in Kenya

Analysis of Software Quality Models for ERP Software Use in University in Kenya

Designing a “software quality model” based on RCCA of defects and validating based on “quality algorithm”

AbstractSoftware systems are very complex, and its complexity has grown exponentially as users' requirements and their usage have grown significantly. Users' requirements and the environment in which they use the software system keep changing, so maintaining its quality is very challenging. If the requirements of users are not met as per their expectations, they encounter defects that cause degradation of the quality of the software system. Such defects are analyzed to understand their impact, and they are fixed to help improve quality. In this research, a defect analysis technique called root cause and corrective actions (RCCA) is followed to analyzes different defect attributes, their interdependencies, and how they help in improving software system quality. The methodologies followed here are defining a hypothesis, finding a causal relationship between quality attributes, and testing the hypothesis. This research is based on quantitative or experimental research to understand the impact of theindependent variables on the dependent variable, which is software quality. This research identifies the “legacy quality score”, designs a new software system quality model, and quality algorithm to calculate the “new quality score”. The results indicate that the newly designed quality model helps improve the quality of the software system.

MyDigiBuddy: An Android Based Student Organizer

Objective: This study is focused on the development of an android based application that served as a digital student companion. Methods/Statistical Analysis: Rapid Application Development (RAD) model and the android framework served as the foundation in the development of the mobile application. A Software Quality Model (SQM) evaluation tool based on ISO 9126 was utilized to assess the system in terms of the following metrics: 1. Functionality, 2. Reliability, 3. Usability, 4. Efficiency, 5. Maintainability, and 6. portability. Findings: The testing resulted to an over-all mean of 4.61 interpreted as Strongly Acceptable. This means that the application was free from errors during testing, the experts were able to accomplish their tasks using the system, there were few issues during the installation of the mobile application and the pool of experts used the system with ease. The strong acceptability of the application also means that the system adhered to software quality metrics based on ISO 9126. Application/Improvements: MyDigiBuddy will greatly help students organize their day to day activities. Taking down notes, scheduling activities for the entire week, and creating reminders usually done using separate application can now be accessed and run through a single application.Keywords: Android, Android Development, Mobile Application, Rapid Application Development (RAD), Student Organizer

Performance of Aspect-Oriented Software Quality Modelling using Artificial Neural Network Technique

Performance of Aspect-Oriented Software Quality Modelling using Artificial Neural Network Technique