scholarly journals The Quality of Software Metrics

Author(s):  
Dragoljub Pilipović ◽  
Dejan Simeunović

This paper discusses the definition, types, characteristic and construction of software metrics in the field of software development. Finally, an overview is given regarding the use of a software tool in software development in relation to software metrics in the field of banking.

Author(s):  
Jana Polgar

Software measurement is considered to be an efficient means to monitor the quality of software projects, predict cost of maintenance, assess reusability of components, provide prediction of faults in similar projects, and contribute to improvement of the software development process. This chapter surveys software metrics literature with particular focus on object-oriented metrics, and metrics for measuring code complexity. Furthermore, we provide a critical view of software metrics and their usability.


2020 ◽  
Vol 30 (1) ◽  
pp. 158-167
Author(s):  
Ю. І. Грицюк ◽  
Т. О. Муха

Developed modern software tool for determining the quality of software (SW) techniques metric analysis. The software allows you to use quality metrics to calculate the corresponding metric and determine the value of the complex index of quality software product. Clarified the quality assessment process, software analyzes the concept of the quality of the software product as an object of standardization and quality levels of performance models of the software. This allowed the opportunity to improve the quality of software by generating the relevant requirements of the criteria for quality evaluation. It is also possible to make the improvement of the metric analysis of models of its quality and its quantitative measurement methods in all phases of a software project. It was revealed that the driving force behind the success of software projects is the desire of their leaders to develop such software, which would have a certain value. It should be important for certain tasks or to achieve tactical and strategic objectives. The value of the software can be expressed in the form of its value, or in some other form. The customer usually has their own idea of ​​the maximum cost of investing in the development of software. These funds profit it expects to achieve in the case of the main goals of using the software. It can also have a vision of the functionality of software and certain expectations of its quality. The features of the use of the metric analysis for determining the quality of the software, revealed the lack of uniform standards for the metric. Therefore, each supplier of its measurement system offers its own methods of evaluating the quality of software and associated metrics. Also it is challenging the interpretation of metric values, since for the majority of users of its software metrics and their values ​​are not absolutely clear and informative. It was found that the main parameters of the choice of an embodiment of the software is its cost, the duration of the development process and the reputation of the designer of the company. But the decisions taken on the basis of these parameters, not always guarantee proper quality of the software.


Author(s):  
Feidu Akmel ◽  
Ermiyas Birihanu ◽  
Bahir Siraj

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.


2020 ◽  
Author(s):  
Yosi sinta deby

ABSTRAKPerkembangan teknologi pada komputer sangatlah pesat seiring dengan perkembangan software nya yang sering digunakan. Salah satu ialah dalam bidang pendidikan , komputer ini sangatlah berperan penting. Sekarang banyak sekali software yang sudah tersedia untuk mendukung dan meningkatkan mutu kualitas pendidikan. Tulisan ini akan mengkaji bagaimana komputer digunakan sebagai media pembelajaran, metodologi perkembangan perangkat lunak.ABSTRACTThe development of technology on computers is very rapid along with the development of software that is often used. One is in the field of education, this computer is very important. Now a lot of software is available to support and improve the quality of education quality. This paper will examine how computers are used as learning media, software development metho


2020 ◽  
Author(s):  
Yosi sinta deby

ABSTRAKPerkembangan teknologi pada computer sangatlah pesat seiring dengan perkembangan software nya yang sering digunakan. Salah satu ialah dalam bidang pendidikan , komputer ini sangatlah berperan penting. Sekarang banyak sekali software yang sudah tersedia untuk mendukung dan meningkatkan mutu kualitas pendidikan. Tulisan ini akan mengkaji bagaimana komputer digunakan sebagai media pembelajaran, metodologi perkembangan perangkat lunak.ABSTRACTThe development of technology on computers is very rapid along with the development of software that is often used. One is in the field of education, this computer is very important. Now a lot of software is available to support and improve the quality of education quality. This paper will examine how computers are used as learning media, software development methodologies.


Author(s):  
Andriy Lishchytovych ◽  
Volodymyr Pavlenko

The present article describes setup, configuration and usage of the key performance indicators (KPIs) of members of project teams involved into the software development life cycle. Key performance indicators are described for the full software development life cycle and imply the deep integration with both task tracking systems and project code management systems, as well as a software product quality testing system. To illustrate, we used the extremely popular products - Atlassian Jira (tracking development tasks and bugs tracking system) and git (code management system). The calculation of key performance indicators is given for a team of three developers, two testing engineers responsible for product quality, one designer, one system administrator, one product manager (responsible for setting business requirements) and one project manager. For the key members of the team, it is suggested to use one integral key performance indicator per the role / team member, which reflects the quality of the fulfillment of the corresponding role of the tasks. The model of performance indicators is inverse positive - the initial value of each of the indicators is zero and increases in the case of certain deviations from the standard performance of official duties inherent in a particular role. The calculation of the proposed key performance indicators can be fully automated (in particular, using Atlassian Jira and Atlassian Bitbucket (git) or any other systems, like Redmine, GitLab or TestLink), which eliminates the human factor and, after the automation, does not require any additional effort to calculate. Using such a tool as the key performance indicators allows project managers to completely eliminate bias, reduce the emotional component and provide objective data for the project manager. The described key performance indicators can be used to reduce the time required to resolve conflicts in the team, increase productivity and improve the quality of the software product.


2015 ◽  
Vol 14 (6) ◽  
pp. 5845-5853
Author(s):  
Kunal Chopra ◽  
Monika Sachdeva

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.


2021 ◽  
Author(s):  
Mayank Gokarna

DevOps is the combination of cultural mindset, practices, and tools that increases a team's ability to release applications and services at high velocity. The development and operations teams always have a conflict around the scope of responsibility. With these differences the quality and speed of delivery across software Development Life Cycle is negatively impacted. DevOps is about removing the barriers between two traditionally delimited teams, development and operations. With DevOps, these two teams work together to optimize both the productivity of developers and the reliability of operations. They strive to communicate frequently, increase efficiencies, and improve the quality of services they provide. They take full ownership for their services, often beyond where their stated roles or titles have traditionally been scoped. Transitioning to DevOps requires a change in culture and mindset first. It is quite difficult to persuade a whole company to change its culture at once. This paper aims to bring different phases of software development lifecycle into DevOps implementation strategy and presents a comprehensive collection of leading tools used across Software Development life Cycle to automate and integrate different stages of software delivery. This paper also highlights on DevOps practices which span across different phases of the Software Development Lifecycle and how those can be implemented with different tools available.


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