scholarly journals PRACTICAL QUALITY ANALYSIS OF OPEN SOURCE SOFTWARE

2020 ◽  
pp. 49-55
Author(s):  
Yevheniia Kataieva ◽  
Svetlana Odokienko ◽  
Maya Luta ◽  
Yaroslav Savchenko
Keyword(s):  
Software Quality ◽  
Software Metrics ◽  
Quality Analysis ◽  
Quality Model ◽  
Complex Concept ◽  
Software Complexity ◽  
Complexity Metrics ◽  
Software Product ◽  
High Level

The success of any project is determined by its ability to meet the needs of the consumer, and therefore ensuring a high level of quality is a necessary task of any production, including software engineering. Insufficient quality of the created software requires many IT-organizations, up to 70% of the budget of the information system to reserve for the maintenance stage, with up to 60% of all software modifications performed to eliminate errors, and only the remaining 40% - to correct software within the business process, improvement certain indicators of software quality, or to prevent potential problems. Software quality is a complex concept. Standards highlight the quality of development processes, internal and external quality of the software product, the quality of the software product at the stage of use. For each of the components of quality can be called a set of metrics that determine the quality of the software product. The resulting structure is called the software quality model. Software metrics are a measure that allows you to get the numerical value of a property of software or its specifications, as well as the method of its calculation. Metrics allow you to get numeric values for each property of the software or its specifications. Of particular interest are software complexity metrics. Complexity is an important factor on which other parameters of software quality depend, such as accuracy, correctness, reliability, convenience of support. The existence of methods and algorithms for automatic calculation of software complexity metrics using software allows you to get a comprehensive formal report on the quality of software in a short time. This allows for objective monitoring of the quality of software throughout the project life cycle, make adjustments to the project plan, as well as make timely decisions about the need for refactoring.

scholarly journals An Efficient Model for Software Quality Analysis Based on User and Developer Intraction

2019 ◽  
Vol 9 (2) ◽  
pp. 715-720
Keyword(s):  
Software Engineering ◽  
Software Quality ◽  
Software Metrics ◽  
Quality Standard ◽  
Quality Analysis ◽  
Software Product ◽  
Item Quality ◽  
Product And Process ◽  
Definition Of

Software metrics have a direct link with measurement in software engineering. Correct measurement is the prior condition in any engineering fields, and software engineering may be not an exemption, as those size and complicated nature of software increases, manual examination of software becomes a harder assignment. Most Software Engineers worry about the quality of software, how to measure and enhance its quality. The overall objective of this study was to asses and analysis software metrics used to measure the software product and process. In this Study, the researcher used a collection of literatures from various electronic databases, available since 2008 to understand and know the software metrics. Finally, in this study, the researcher has been identified software quality will be a method for measuring how software is designed and how well the software conforms to that configuration. A percentage of the variables that we would be searching for software superiority and Correctness, item quality, Scalability, completeness and absence of bugs of those quality standard that might have been utilized from you quit offering on that one association will be unique in relation to others for this reason it may be better to apply the software measurements to measure the quality of software and the current is most common software metrics tools to decrease the partiality of faults during the valuation of software quality. The central influence of this study is an indicationaround software metrics to illustrate for development in this field by critical investigation about key metrics initiated onboth developer and user interactiona unified definition of software quality management on User and Developer (SQMUD) is proposed

scholarly journals Measuring Software Quality Product Based on Fuzzy Inference System Techniques in ISO Standard

2021 ◽  
Author(s):  
Atrin Barzegar
Keyword(s):  
Software Quality ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Quality Model ◽  
Inference System ◽  
Iso Standard ◽  
Software Products ◽  
Software Product ◽  
The Impact

The success of a software product depends on several factors. Given that different organizations and institutions use software products, the need to have a quality and desirable software according to the goals and needs of the organization makes measuring the quality of software products an important issue for most organizations and institutions. To be sure of having the right software. It is necessary to use a standard quality model to examine the features and sub-features for a detailed and principled study in the quality discussion. In this study, the quality of Word software was measured. Considering the importance of software quality and to have a good and usable software in terms of quality and measuring the quality of software during the study, experts and skilled in this field were used and the impact of each factor and quality characteristics. It was applied at different levels according to their opinion to make the result of measuring the quality of Word software more accurate and closer to reality. In this research, the quality of the software product is measured based on the fuzzy inference system in ISO standard. According to the results obtained in this study, it is understood that quality is a continuous and hierarchical concept and the quality of each part of the software at any stage of production can lead to high quality products.

scholarly journals Incorporating autonomicity and trustworthiness aspects for assessing software quality

2017 ◽  
Vol 7 (1.1) ◽  
pp. 421 ◽  
Author(s):  
Pooja Dehraj ◽  
Arun Sharma ◽  
P S. Grover
Keyword(s):  
Software Quality ◽  
Autonomic Computing ◽  
Quality Standard ◽  
Maintenance Cost ◽  
Software Systems ◽  
Self Awareness ◽  
Self Healing ◽  
Quality Model ◽  
Software Product

Autonomic computing covers few self-abilities like self-configuration, self-healing, self-optimization, self-protection, self-adaptability, self-awareness, self-openness etc. in software systems. These self-abilities will lead towards lowering the overall maintenance cost of the software because of minimum level of human intervention. The term Autonomicity refers to the level of autonomic (self) features implemented in the system. The International software quality standard ISO 9126 is now replaced by new software product quality standard ISO/IEC 25010:2011 which defines the framework/model to specify and evaluate the quality of software as a product. However, this does not take into account the self-* features (autonomic aspects) and trust factor of modern day software systems. The present paper proposes here that autonomic characteristics of any system must be considered while assessing the quality of any software product. This autonomic-oriented quality model may be used to assess the software quality in a number of domains. Therefore, a new enhanced software quality model is proposed which considers autonomicity and trustworthiness as a factor of quality.

scholarly journals Adaptive Neuro-Fuzzy Inference System for Measuring software quality Product

2021 ◽  
Author(s):  
Atrin Barzegar ◽  
Yas Barzegar
Keyword(s):  
Neural Network ◽  
Software Quality ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Quality Model ◽  
Inference System ◽  
Software Products ◽  
Software Product ◽  
Neural Fuzzy

Computer systems are involved in many critical human applications today, so that a small error can lead to serious and dangerous problems. These errors can be from an error in the incorrect design of the user interface to an error in the program code. The success of a software product depends on several factors. Given that different organizations and institutions use software products, the need to have a quality and desirable Software according to the goals and needs of the organization makes measuring the quality of software products. an important issue for most organizations and institutions, To be sure of having the right software. It is necessary to use a standard quality model to examine the features and sub-features for a detailed and principled study in the quality discussion. In this study, the quality of Word software was measured by Adaptive Neural Fuzzy Inference System. In recent years, powerful systems called fuzzy inference systems on The basis of adaptive neural network (ANFIS) has been used in various sciences. Using the power of neural network training and the linguistic advantage of fuzzy systems, these types of systems have been able to realize the advantages of the two in terms of analyzing very powerful complex processes. Considering the importance of software quality and to have a good and usable software in terms of quality and measuring the quality of software during the study. It was applied at different levels to make the result of measuring the quality of Word software more accurate and closer to reality. In this research, the quality of the software product is measured based on the adaptive neural-fuzzy inference system in ISO standard. According to the results obtained in this study, it is understood that quality is a continuous and hierarchical concept and the quality of each part of the software at any stage of production can lead to high quality products.

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

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

Software systems are any software product or applications that support business domains such as Manufacturing,Aviation, Health care, insurance and so on.Software quality is a means of measuring how software is designed and how well the software conforms to that design. Some of the variables that we are looking for software quality are Correctness, Product quality, Scalability, Completeness and Absence of bugs, However the quality standard that was used from one organization is different from other for this reason it is better to apply the software metrics to measure the quality of software. Attributes that we gathered from source code through software metrics can be an input for software defect predictor. Software defect are an error that are introduced by software developer and stakeholders. Finally, in this study we discovered the application of machine learning on software defect that we gathered from the previous research works.

An adaptable software quality model

2018 ◽  
Vol 27 (1) ◽  
pp. 31-35
Author(s):  
MARA HAJDU-MACELARU ◽  
◽  
IOANA ZELINA ◽  
Keyword(s):  
Software Quality ◽  
Quality Evaluation ◽  
Quality Model ◽  
Accurate Evaluation ◽  
Software Products ◽  
Software Product

Just about everything changes, and so should a software quality model in order to provide a better understanding of quality for any software product to which is applied. But how can we develop such a software quality model? A software quality model pattern that can be adapted to different software products, and provide an accurate evaluation of the overall software quality. This paper presents an adaptable software quality model which is intended to be used for the quality evaluation of different software products.

scholarly journals Metrics for evaluation of metaprogram complexity

2010 ◽  
Vol 7 (4) ◽  
pp. 769-787 ◽  
Author(s):  
Robertas Damasevicius ◽  
Vytautas Stuikys
Keyword(s):  
Measurement Techniques ◽  
Graph Algorithm ◽  
Aspect Oriented Programming ◽  
Engineering Software ◽  
Software Complexity ◽  
Complexity Management ◽  
Complexity Metrics ◽  
Cognitive Difficulty ◽  
Cognitive Dimensions

The concept of complexity is used in many areas of computer science and software engineering. Software complexity metrics can be used to evaluate and compare quality of software development and maintenance processes and their products. Complexity management and measurement is especially important in novel programming technologies and paradigms, such as aspect-oriented programming, generative programming, and metaprogramming, where complex multilanguage and multi-aspect program specifications are developed and used. This paper analyzes complexity management and measurement techniques, and proposes five complexity metrics (Relative Kolmogorov Complexity, Metalanguage Richness, Cyclomatic Complexity, Normalized Difficulty, Cognitive Difficulty) for measuring complexity of metaprograms at information, metalanguage, graph, algorithm, and cognitive dimensions.

scholarly journals EVALUATION OF SOFTWARE METRICS FOR SOFTWARE PROJECTS

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

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

Investigating the Effect of Software Complexity Metrics on Software Cost

2014 ◽  
Vol 548-549 ◽  
pp. 1319-1325
Author(s):  
Bouchaib Falah ◽  
Sara El Alaoui ◽  
Hajar Abbadi
Keyword(s):  
Life Cycle ◽  
Software Engineering ◽  
Software Metrics ◽  
Software Life Cycle ◽  
Software Cost ◽  
Software Complexity ◽  
Complexity Metrics ◽  
Extended Lifespan ◽  
New Methodologies ◽  
Do So

Nowadays, software is expected to have an extended lifespan, which makes the evaluation of its complexity at the early stages critical in upcoming maintenance. Indeed, complexity is proportional to the evolution of software. Software metrics were introduced as tools that allow us to obtain an objective measurement of the complexity of software. Hence, enabling software engineering to assess and manage software complexity. Reducing software costs is one of the major concerns of software engineering which creates an increasing need for new methodologies and techniques to control those costs. Software complexity metrics can help us to do so. In this paper, we would investigate how those metrics can be used to reduce software costs. We would first analyze the most popular complexity metrics and distinguish their properties. Then, we will show how each of those metrics fit within the software life cycle. Finally, we will provide a detailed approach to use the complexity metrics to reduce software costs.

Quality Assessment of Standard and Customized COTS Products

2020 ◽  
Vol 11 (3) ◽  
pp. 1-13
Author(s):  
Sudhaman Parthasarathy ◽  
C. Sridharan ◽  
Thangavel Chandrakumar ◽  
S. Sridevi
Keyword(s):  
Software Quality ◽  
Enterprise Resource Planning ◽  
Software Metrics ◽  
Resource Planning ◽  
Quality Attributes ◽  
Future Research ◽  
Quality Model ◽  
Erp System ◽  
Cots Products ◽  
Commercial Off The Shelf

Software quality is a very important aspect in evolving strategy for IT vendors involved in commercial off-the-shelf (COTS) (also referred as packaged software) product development. Software metrics are widely accepted measures for monitoring and managing the quality in software projects. Enterprise resource planning (ERP) systems are COTS products and attempt to integrate data and processes in organizations and often require extensive customization. Using software quality metrics already established in literature, software quality attributes defined by the quality model ISO/IEC 9126 were evaluated for a standard and a customized ERP product. This will help the ERP team to identify the specific quality attributes that were affected owing to customization. This research study infers that there exists a considerable impact of ERP system customization over the quality of ERP product. The implications of the findings for both practice and research are discussed, and possible areas of future research are identified.

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