Software Quality Characteristics Research Articles

Sine function similarity-based multi-attribute decision making technique of type-2 neutrosophic number sets and application to computer software quality evaluation

With the rapid development of information technology, software products are playing an increasingly important role in people’s production and life, and have penetrated into many industries. Software quality is the degree to which the software meets the specified requirements, and is an important indicator to evaluate the quality of the products used. At present, the scale of software is increasing, and the complexity is increasing. It is an urgent problem to reasonably grasp and ensure the product quality. The measurement and evaluation of Software quality characteristics is an effective means to improve Software quality. Faced with the complex system of software, there are many factors that affect product quality. Current research mainly measures software product quality from a qualitative perspective. The computer software quality evaluation is a classical multi-attribute group decision making (MAGDM). Type-2 Neutrosophic Numbers (T2NNs) is a popular set in the field of MAGDM and many scholars have expanded the traditional MAGDM to this T2NNs in recent years. In this paper, two new similarity measures based on sine function for T2NN is proposed under T2NNs. These two new methods are built for MAGDM based on the sine similarity measures for T2NN (SST) and sine similarity weighted measures for T2NN (SSWT). At the end of this paper, Finally, a practical case study for computer software quality evaluation is constructed to validate the proposed method and some comparative studies are constructed to verify the applicability. Thus, the main research contribution of this work is constructed: (1) two new similarity measures based on sine function for T2NN is proposed under T2NNs; (2) These two new methods are built for MAGDM based on the sine similarity measures for T2NN (SST) and sine similarity weighted measures for T2NN (SSWT); (3) an example for computer software quality evaluation is employed to verify the constructed techniques and several decision comparative analysis are employed to verify the constructed techniques.

Evaluating mobile applications for estimating soil properties: Quality of current apps, limitations and future directions

The estimation of soil properties is an important factor in agriculture. With the advancement of smartphones and artificial intelligence, estimating soil properties such as the Munsell soil color, pH, soil organic matter and moisture is tangible, alleviating the need for laboratories, which are time-consuming and costly. While there are several smartphone applications available in different app stores that claim to provide this functionality, an evaluation of the limitations and quality is required for these apps. The objective of this study is to identify existing soil property estimation apps, devise a soil apps rating scale to evaluate the functionality along with the software quality characteristics, and provide design guidelines for improving apps of this type. A thorough search was conducted in two prominent app stores: the Google Play and Apple App store. The selected apps were then rated by four individual raters. A total of 337 apps were found in the search and from this list, 32 selected apps were reviewed using the devised app rating scale. The rating scale evaluates the apps against ten sub-scales: app metadata, aesthetics, general app features, performance and efficiency, usability, functionality, subjective quality, transparency, user comments, and the perceived impact of the app on users. The inter-rater and intra-rater reliability are calculated along with the internal consistency of the rating scale to ensure the validity of the results. The evaluation results that returned the highest-ranking mean sub-scales were performance, usability, and aesthetics. Adversely, the lowest-ranging sub-scales were functionality and general features. There was also an evident absence of the functionality to calculate any type of soil properties in all but four of the apps reviewed. Several key design considerations were identified, such as the need for automated estimation of soil properties, an improvement of general features, and the inclusion of a shared soil database.

Information technology for prediction of software quality level

Today, there is a contradiction between the rapid increase in the complexity and size of modern software while increasing responsibility for the performance of their functions, the increasing requirements of customers and users to the quality and efficiency of software use and the imperfection of models, methods, tools of predicting software quality at the early stages of the life cycle.Therefore, the task of predicting the software quality level based on requirements is relevant. The aim of this study is to solve this task by developing information technology for prediction software quality levels based on requirements. The proposed information technology for prediction software quality level based on requirements provides analysis of quality attributes in requirements, reflects the dependence (equations) of quality characteristics on attributes, forms a quantitative assessment of quality characteristics, reflects the dependence (equation) of quality on its characteristics, forms a quantitative assessment of quality, performs quality level prediction, provides all the listed services simultaneously and the model, methods, and tools underlying the IT belong to common methodological approaches and are integrated. The developed system of predicting the software quality level based on requirements provides the user with predicted estimates of eight software quality characteristics, geometric interpretation of the software quality characteristics’ values, a comprehensive indicator of the predicted software quality, and a conclusion about the future software quality level. On the basis of this, it is possible to compare sets of requirements for software and make a reasonable choice of a set of requirements for further implementation. The information technology and the system of predicting the software quality level based on requirements, developed in this paper, provide the possibility of comparing sets of requirements for software, justified selection of requirements for further implementation of quality software (as experiments have shown, this is only one of the four proposed sets), and rejection or revision of unsuccessful sets of requirements that cannot be used to develop quality software.

A Review on Software Quality Models for Learning Management Systems

The objective of this paper is to review the basic software quality model and identify which existing software quality model and quality characteristics are suitable for Learning Management Systems. A literature review was conducted from the following sources - Science Direct, Scopus, and Elsevier. The search terms used are “online learning”, “basic software quality model” AND “learning management system”. The results of the literature review have identified five main software quality models commonly referred to in software quality literature – McCall, Boehm, FURPS, Dromey, and ISO 9126. In addition, ten common quality attributes for learning management systems identified are maintainability, portability, reliability, efficiency, usability, functionality, security, traceability, availability, and customizability. By identifying the most appropriate software quality model and characteristics for Learning Management Systems, this paper aims to provide guidance to developers and practitioners in the field of online learning to improve the quality and effectiveness of their systems.

Quality Measurement of Accurate-5 Accounting Software Using the Iso 9126 Model

This study aims to evaluate the degree of excellence of the Accurate-5 accounting software by employing the ISO-9126 model, which assesses six dimensions (primary characteristics) and associated attributes (secondary characteristics) of software quality. The researchers measured a sample of 41 participants who attended a workshop at STMIK Mardira Indonesia Bandung using the Accurate-5 software. The researchers gathered primary data using a questionnaire that utilized the Likert scale. The validity test results supported the validity of the items, as a value greater than 0.316 was found. The reliability test results demonstrated that all attributes have a high level of reliability, as each item had a Cronbach's alpha value greater than 0.7. The software quality evaluation findings utilizing the ISO 9126 standard indicate that all dimensions and attributes satisfy the "Good" criteria. The researchers found that the attributes of Compliance, Installability, and Coexistence satisfy the criteria of "Very Good." Based on the data, we can infer that the Accurate-5 software complies with the ISO 9126 standard as it achieved an average percentage score of 77.53%, indicating that it meets the "Good" criteria.

Record management with a decision support system for faculty and employees association

This study aimed to develop a Record Management System with Decision Support System for the Faculty and Employees Association in Miagao Campus. The system allows for the creation, maintenance, and disposal of records in an organized manner, creating a transparent record management organization through a certain policy. The Decision Support System enhances the functional aspect of decision-making and data management. The developed system includes a Record Management component for faculty and employee data, used for updating personal records and determining individual benefits. Members can view their monthly contributions and dues, and the system provides a decision support system to evaluate if members can claim their benefits. Additionally, the system generates monthly reports and keeps records in the database system. The prototyping model was used in software development, and the ISO 25010 criteria for software evaluation was adopted to evaluate the system. Five IT experts and ten FEA members were randomly selected to evaluate the system, and based on the given criteria, the overall result of the evaluation was "very effective." The system meets the characteristics of software quality set by ISO 25010 standards, including functional suitability, performance efficiency, compatibility, usability, reliability, security, maintainability, and portability. Overall, the Record Management System with Decision Support System is an effective tool for managing records and supporting decision-making for the Faculty and Employees Association in Miagao Campus.

Unlocking the Potential of Blockchain Through Multi-Criteria Decision Making in Platform Selection

Purpose: The purpose of this paper is to introduce a methodology that can help organizations choose the best Blockchain platform for their specific business case. With numerous options available, it's important to carefully consider the capabilities of a Blockchain before selecting it. This methodology is intended to provide a structured approach to aid in the decision-making process, taking into account the various characteristics of Blockchain that are needed. Theoretical Framework: The theoretical framework for this paper is based on Multi Criteria Decision Making (MCDM) and ISO/IEC 25010. MCDM is a decision-making technique that considers multiple criteria when making a choice, which is useful for selecting the best Blockchain platform. ISO/IEC 25010 is a standard that provides a framework for evaluating software quality characteristics, which is relevant for evaluating the quality of the Blockchain platform. Design/Methodology/Approach: The methodology presented in this paper involves a structured approach to selecting the best Blockchain platform for a specific business case. The approach is based on a combination of MCDM and ISO/IEC 25010, and involves several steps. First, the relevant criteria for selecting the Blockchain platform are identified. Next, a weighting system is developed to determine the importance of each criterion. Then, each Blockchain platform is evaluated based on the criteria and weights, and a score is assigned. Finally, the scores are aggregated to determine the best Blockchain platform for the specific business case. Findings: The main finding of this paper is the methodology for selecting the best Blockchain platform for a specific business case. This methodology can aid organizations in making an informed decision when choosing a Blockchain platform, taking into account the various characteristics of Blockchain that are needed. The paper also highlights the importance of careful consideration when selecting a Blockchain platform, as the wrong choice could have negative consequences. Research, Practical & Social Implications: The research implications of this paper are significant, as it provides a structured approach for selecting the best Blockchain platform for a specific business case. This methodology can be used across industries and could have a significant impact on the adoption of Blockchain technology. From a practical perspective, this methodology can aid organizations in making informed decisions when selecting a Blockchain platform, which can save time and resources. From a social perspective, the adoption of Blockchain technology has the potential to revolutionize business operations and improve transparency and accountability. Originality/Value: The originality of this paper lies in the development of a methodology for selecting the best Blockchain platform for a specific business case. This methodology is based on a combination of MCDM and ISO/IEC 25010 and is not specific to any one industry. The value of this paper is in providing a structured approach to aid organizations in making an informed decision when selecting a Blockchain platform, taking into account the various characteristics of Blockchain that are needed.

Finding Compiler Bugs Duplicates by Generating Witness Programs

Programming language compilers are complex software projects, the quality of which directly affects the quality of programs created by them. Therefore, compilers are subject to increased requirements for such software quality characteristics as functional suitability, reliability, performance level, safety, etc. To ensure quality, various methods are used: user and manual testing, tools for automatic error detection. And due to many methods of searching for bugs often situations arise when the same error, especially if its cause is trivial, is detected repeatedly, and the test cases that lead to it can be completely different from each other. Such test cases are called duplicates, and their determination is an urgent and acute problem, since their manual search requires a large amount of human resources. Algorithms for automatically finding duplicates would greatly simplify the process of developing and maintaining a compiler. The main idea of the approach for finding duplicates presented in the article is that the causes of the same errors are located in the same place in the compiler source code. To search for this place, the method of generating witness programs is used: for each test program containing an error, similar programs are generated that do not contain it. After that, metrics are calculated based on the source code coverage of the compiler and a list of source code files that are potentially causing the compiler to fail is formed. If these lists for two test programs are similar in terms of the proximity metric, then the test programs are considered duplicates. The proposed approach was developed and implemented for the compiler of the Kotlin programming language. Testing has shown the applicability of the proposed approach for solving the problem of finding duplicate errors of compilers of programming languages

Smartphone Apps for Child Sexual Abuse Education: Gaps and Design Considerations

The objectives of this study are understanding the requirements of a CSA education app, identifying the limitations of existing apps, and providing a guideline for better app design. An electronic search across three major app stores(Google Play, Apple, and Microsoft) is conducted and the selected apps are rated by three independent raters. Total 191 apps are found and finally, 14 apps are selected for review based on defined inclusion and exclusion criteria. An app rating scale for CSA education apps is devised by modifying existing scales and used to evaluate the selected 14 apps. Our rating scale evaluates essential features, criteria, and software quality characteristics that are necessary for CSA education apps, and determined their effectiveness for potential use as CSA education programs for children. The internal consistency of the rating scale and the inter and intra-rater reliability among the raters are also calculated. User comments from the app stores are collected and analyzed to understand their expectations and views. After analyzing the feasibility of reviewed apps, CSA app design considerations are proposed that highlight game-based teaching approaches. Evaluation results showed that most of the reviewed apps are not suitable for being used as CSA education programs. While a few may be able to teach children and parents individually, only the apps "Child Abuse Prevention" (rate 3.89 out of 5) and "Orbit Rescue" (rate 3.92 out of 5) could be deemed suitable for a school-based CSA education program. However, all those apps need to be improved both their software qualities and CSA-specific features for being considered as potential CSA education programs. This study provides the necessary knowledge to developers and individuals regarding essential features and software quality characteristics for designing and developing CSA education apps.

Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current apps

• A review of 80 apps for tracking food consumption and recommendations is presented. • A rating tool is devised to evaluate the AI-based functionalities and quality of apps. • Selected apps are evaluated using the tool, and their limitations are identified. • Design considerations of apps for future development are discussed. The advancement of artificial intelligence (AI) and the significant growth in the use of food consumption tracking and recommendation-related apps in the app stores have created a need for an evaluation system, as minimal information is available about the evidence-based quality and technological advancement of these apps. Electronic searches were conducted across three major app stores and the selected apps were evaluated by three independent raters. A total of 473 apps were found and 80 of them were selected for review based on inclusion and exclusion criteria. An app rating tool is devised to evaluate the selected apps. Our rating tool assesses the apps essential features, AI based advanced functionalities and software quality characteristics required for food consumption tracking and recommendations, as well as their usefulness to general users. The rating tool’s internal consistency, as well as inter- and intra-rater reliability among raters, are also calculated. Users’ comments from the app stores are collected and evaluated to better understand their expectations and perspectives. Following an evaluation of the assessed applications, design considerations that emphasize automation-based approaches using artificial intelligence are proposed. According to our assessment, most mobile apps in the app stores do not satisfy the overall requirements for tracking food consumption and recommendations. “Foodvisor” is the only app that can automatically recognise food items, and compute the recommended volume and nutritional information of that food item. However, these features need to be improvised in the food consumption tracking and recommendation apps. This study provides both researchers and developers with an insight into current state-of-the-art apps and design guidelines with necessary information on essential features and software quality characteristics for designing and developing a better app.

Evaluating Plant Disease Detection Mobile Applications: Quality and Limitations

In this technologically advanced era, with the proliferation of artificial intelligence, many mobile apps are available for plant disease detection, diagnosis, and treatment, each with a variety of features. These apps need to be categorized and reviewed following a proper framework that ensures their quality. This study aims to present an approach to evaluating plant disease detection mobile apps, which includes providing ratings of distinct features of the apps and insights into the exploitation of artificial intelligence used in plant disease detection. The applicability of these apps for pathogen or disease detection, identification, and treatment will be assessed along with significant insights garnered. For this purpose, plant disease detection apps were searched in three prominent app stores (the Google Play store, Apple App store, and Microsoft store) using a set of keywords. A total of 606 apps were found and from them, 17 relevant apps were identified based on inclusion and exclusion criteria. The selected apps were reviewed by three raters using our devised app rating scale. To validate the rater agreements on the ratings, inter-rater reliability is computed alongside their intra-rater reliability, ensuring their rating consistency. Also, the internal consistency of our rating scale was evaluated against all selected apps. User comments from the app stores are collected and analyzed to understand their expectations and views. Following the rating procedure, most apps earned acceptable ratings in software quality characteristics such as aesthetics, usability, and performance but gained poor ratings in AI-based advanced functionality, which is the key aspect of this study. However, most of the apps cannot be used as a complete solution to plant disease detection, diagnosis, and treatment. Only one app, Plantix–your crop doctor, could successfully identify plants from images, detect diseases, maintain a rich plant database, and suggest potential treatments for the disease presented. It also provides a community where plant lovers can communicate with each other to gain additional benefits. In general, all existing apps need to improve functionalities, user experience, and software quality. Therefore, a set of design considerations has been proposed for future app improvements.

Intellectualization of agriculture information systems and actual software testing methods

The research is aimed at studying the process of intellectualization of information systems used in the agro-industrial complex. New opportunities created by the use of artificial intelligence in agriculture are identified. The problem of the non-universality of existing testing methods and the need to develop new methods adapted for testing artificial intelligence systems is formulated. The authors have developed a model of the resulting type of testing, which takes into account the results of expert assessments, software quality characteristics, metrics and cost indicators. The authors have developed an information system on the research topic.

A Novel Method for Software Reliability Assessment via Neuro-Fuzzy System

Nowadays, the utilization of software engineering in various areas of technology is remarkably increased. As a matter of fact, it is used in many critical applications such as eye surgery, autopilot systems of airplanes, centralized traffic control (CTC), and so on. Therefore, the reliability of software is very important, and it plays an essential role in the lifetime of the software. Software reliability is one of the main characteristics of software quality. Moreover, the rapid assessment of the reliability of the application is essential during the software life cycle. In this paper, Iuse the neuro-fuzzy methods to assess the software's reliability in order to cope with uncertainties in measuring the actual parameters of the software. By designing neuro-fuzzy inference systems and applying four parameters of the ISO/IEC 9126quality model(i.e., the maturity of software, fault-tolerant, recoverability, and reliability compliance) and finding the parameters of a fuzzy system by exploiting approximation techniques from neural networks, Ipresent an integrated assessment model for evaluation of software reliability. The case study used in this paper to evaluate the proposed method is the software income tax calculator. By applying the input parameters, Iobserve that the software reliability is 0.65. software reliability in our proposed method is more exact than software reliability in the fuzzy multi-criteria and fuzzy method because The weights of the input parameters have been set by experts and software developers, and simulations are carried out using MATLAB tool (ANFIS). Simulations confirm that the proposed method provides acceptable results.

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.

SPMM: A Model Taxonomy for Designing and Managing Quality System

Software engineering is a discipline of Computer Science in which the new sub-areas are constantly added, especially in the area of quality, data management, and architectural design. Nowadays software development languages and processes are rapidly changing to deliver high-quality software products, i.e., usable systems, hybrid, and fulfill users’ needs. This paper aims to identify and classify different process models proposed by the researchers based on characteristics of software quality, data management, and software integration and redesign. From a study of several models through a systematic mapping study, we identify different parameters and presented them in a traceability matrix. The parameters are classified into six areas. This paper provides an in-depth theoretical insight into the models and characteristics. A systematic mapping study was conducted through a literature review. The methodology used in this paper is both qualitative and quantitative. Initially, through a systematic mapping study, we study different models working on different parameters. And then proposed a model that can cover all the aspects of software implementation and management. We select ERP systems for it. Later we perform the GAP analysis and statistical evaluation of the model. It has been observed that all of the models are area specific either focused on quality parameters or management issues or architectural-based. The proposed model covers all aspects. The primary research shows that industrialists also need a better model for quality implementation. Our statistical analysis can serve as a decision-making tool for them to add to their decision-making processes. The other could use it to further enhance the framework for quality management. This model will enhance further in the future for better implementation.

RESEARCH OF THE SOFTWARE SECURITY MODEL AND REQUIREMENTS

The subject of research in the article is a software security model. The aim of the work is to research the quality characteristics of the software and requirements for the software security in order to improve their safety. The article solves the following tasks: researching the shortcomings of the existing security model in order to identify its main shortcomings; study of the quality characteristics of software that affect its security in order to identify the possibility of improving the quality of software. The following results were obtained: on the basis of the analysis of the existing model of software security, the main features of the attributes of this model were identified, their advantages and disadvantages were given. On the basis of the conducted analytical study, the necessity of improving the existing model of ensuring the security of software has been proved. Existing requirements for software and characteristics that affect its quality are considered. The characteristics of software security are highlighted, the indicators of which should be improved. Conclusions: a software security model has been studied. The need to develop this model is shown by introducing the possibility of adapting the existing requirements for the security of software tools throughout the entire life cycle of software development; the study of the quality characteristics of software showed that to ensure its security, it is necessary to improve the following characteristics: integrity, authentication, confidentiality, access control. However, it was shown that an increase in these characteristics can lead to a deterioration in other indicators of software quality: portability, maintainability, performance.

Efektivitas Mendeley sebagai Software Bantu untuk Manajemen Referensi

The purpose of this research is to be able to determine the effectiveness of Mendeley software that can be used as an aid software for reference management. The research method used is quantitative descriptive. The unit of analysis in this study is Mendeley. Data collection techniques used are exploration (browsing), searching (searching) on the software website under study and making a checklist of characteristics of software quality based on its function as a reference management software and with relevant library studies. The results showed that Mendeley’s software was stated to be very effective because of the 8 (eight) feature indicators stated 98.75% of the checklist indicators were available. Thus the quality of Mendeley’s software is very effective to be implemented, so that this software can be used to facilitate or integrate with other software in writing scientific papers in search of the scientific references they need.

Information of System Monitoring by Network Oparation Center

Network Operation Central (NOC), an Enterprise Service Division which functions to carry out monitoring and supervision activities of Telkom network equipment located at Plaza Indonesia. Customer satisfaction is the basis and goal that is always hoped for by customers, by carrying out maintenance activities of network devices, and carrying out solutions when problems occur in customers are expected to be an efficient and effective service quality standard. This study wants to know that the construction of a monitoring system for NOC work activities can improve service quality. The quality of this system can be measured using the ISO9126 model, by adapting four characteristics of software quality: functionality, reliability, usability, and efficiency. The system development model uses the Rapid Application Development (RAD) and Joint Application Development (JAD) models. Researchers will analyze and design the system using the Unified Model Language (UML), then by coding with PHP programming and MySQL databases, and data collection using a questionnaire, and system testing using the Blackbox Testing model. Based on testing using ISO 9126 the results are functionality (80%), reliability (79%), usability 86%), and efficiency (79%). Overall the result was 81% (good).

Mobile Apps for Foot Measurement in Pedorthic Practice: Scoping Review.

BackgroundAs the use of smartphones increases globally across various fields of research and technology, significant contributions to the sectors related to health, specifically foot health, can be observed. Numerous smartphone apps are now being used for providing accurate information about various foot-related properties. Corresponding to this abundance of foot scanning and measuring apps available in app stores, there is a need for evaluating these apps, as limited information regarding their evidence-based quality is available.ObjectiveThe aim of this review was to assess the measurement techniques and essential software quality characteristics of mobile foot measurement apps, and to determine their potential as commercial tools used by foot care health professionals, to assist in measuring feet for custom shoes, and for individuals to enhance their awareness of foot health and hygiene to ultimately prevent foot-related problems.MethodsAn electronic search across Android and iOS app stores was performed between July and August 2020 to identify apps related to foot measurement and general foot health. The selected apps were rated by three independent raters, and all discrepancies were resolved by discussion among raters and other investigators. Based on previous work on app rating tools, a modified rating scale tool was devised to rate the selected apps. The internal consistency of the rating tool was tested with a group of three people who rated the selected apps over 2-3 weeks. This scale was then used to produce evaluation scores for the selected foot measurement apps and to assess the interrater reliability.ResultsEvaluation inferences showed that all apps failed to meet even half of the measurement-specific criteria required for the proper manufacturing of custom-made footwear. Only 23% (6/26) of the apps reportedly used external scanners or advanced algorithms to reconstruct 3D models of a user’s foot that could possibly be used for ordering custom-made footwear (shoes, insoles/orthoses), and medical casts to fit irregular foot sizes and shapes. The apps had varying levels of performance and usability, although the overall measurement functionality was subpar with a mean of 1.93 out of 5. Apps linked to online shops and stores (shoe recommendation) were assessed to be more usable than other apps but lacked some features (eg, custom shoe sizes and shapes). Overall, the current apps available for foot measurement do not follow any specific guidelines for measurement purposes.ConclusionsMost commercial apps currently available in app stores are not viable for use as tools in assisting foot care health professionals or individuals to measure their feet for custom-made footwear. Current apps lack software quality characteristics and need significant improvements to facilitate proper measurement, enhance awareness of foot health, and induce motivation to prevent and cure foot-related problems. Guidelines similar to the essential criteria items introduced in this study need to be developed for future apps aimed at foot measurement for custom-made or individually fitted footwear and to create awareness of foot health.

Predicting of Open Source Software Component Reusability Level Using Object-Oriented Metrics by Taguchi Approach

Component-based software development (CBSD) is an efficient approach used by software developers to develop new software. The commercial off the shelf (COTS) and open-source software (OSS) are two styles to implement CBSD. The COTS provides the interface and depicts the black-box behavior, but does not support several software quality characteristics. On the other hard, OSS is a more efficient approach compared to COTS due to its source code availability. This research aims to identify the reusability level of OSS components from an online repository of OSS. The OSS components are classified based on Chidamber and Kemerer reusability metrics (CK-metrics). This paper proposed a mathematical model to establish the relationship between the reusability of CK-metrics. Reusability level of OSS component has been measured and most effective CK-metrics obtained by applying the Taguchi design and analysis of variance (ANOVA). The input parameters for the experimental design are evaluated based on the OSS repository. Performance analysis has been carried out based upon the interaction effect between the reusability of CK-metrics. Main effect plots are created to identify the most reusable component of the OSS. The genetic algorithm (GA) is used to predict the optimized value of the different control parameters. The results indicate that the OSS component reusability level is 0.698194. The reusability of software has a significant effect on the quality of software. The quality of software can be improved by increasing the reusability of software components.