Quality and Metrics in Software Quality Engineering
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Keywords:
Quality, Testing, Re-engineeringAbstract
Complexity metrics play a crucial role in assessing essential information related to the reliability and maintainability of software systems through regular source code analysis. These metrics offer continuous feedback throughout a software project, aiding in the control of the development process. Various models are employed to categorize the quality of a software product, each incorporating distinct measures to evaluate the extent to which the product meets specific quality attributes. The highest level of classification in each model may consist of a different set of attributes, and these attributes might be defined uniquely at every level. Given the increasing reliance on computer programs for various activities, the importance of their quality becomes paramount. While consensus exists on the significance of quality, defining precisely what quality entails remains a point of contention. Software reliability is highly affected by software quality attributes and measurements. Faults, bugs, and errors are shown not only in the development process but also in end-user period hereby it is required to detect these issues earlier. This paper aims to introduce key models and standards for assessing software quality. Additionally, it will present metrics for software complexity, elucidating the connection between complexity and quality.
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References
• T. B. Alakus, R. Das and I. Turkoglu, "An Overview of Quality Metrics Used in Estimating Software Faults," 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), Malatya, Turkey, 2019, pp. 1-6, doi: 10.1109/IDAP.2019.8875925.
• Pargaonkar, S. S., Patil, V. V., Deshpande, P. A., & Prabhune, M. S. (2015). DESIGN OF VERTICAL GRAVITY DIE CASTING MACHINE. INTERNATIONAL JOURNAL FOR SCIENTFIC RESEARCH & DEVELOPMENT, 3(3), 14–15.
• Nirpal, P. B., & Kale, K. V. (2011). A brief overview of software testing metrics. International Journal on Computer Science and Engineering, 3(1), 204-2011.
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License Terms
Ownership and Licensing:
Authors of this research paper submitted to the Journal of Science & Technology retain the copyright of their work while granting the journal certain rights. Authors maintain ownership of the copyright and have granted the journal a right of first publication. Simultaneously, authors agreed to license their research papers under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.
License Permissions:
Under the CC BY-NC-SA 4.0 License, others are permitted to share and adapt the work, as long as proper attribution is given to the authors and acknowledgement is made of the initial publication in the Journal of Science & Technology. This license allows for the broad dissemination and utilization of research papers.
Additional Distribution Arrangements:
Authors are free to enter into separate contractual arrangements for the non-exclusive distribution of the journal's published version of the work. This may include posting the work to institutional repositories, publishing it in journals or books, or other forms of dissemination. In such cases, authors are requested to acknowledge the initial publication of the work in the Journal of Science & Technology.
Online Posting:
Authors are encouraged to share their work online, including in institutional repositories, disciplinary repositories, or on their personal websites. This permission applies both prior to and during the submission process to the Journal of Science & Technology. Online sharing enhances the visibility and accessibility of the research papers.
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Authors are responsible for ensuring that their research papers do not infringe upon the copyright, privacy, or other rights of any third party. The Journal of Science & Technology and The Science Brigade Publishers disclaim any liability or responsibility for any copyright infringement or violation of third-party rights in the research papers.