Software quality model
A software quality model is a set of standards used to define the quality of a software product. It is an invaluable tool for measuring and improving the quality of a software product, along with identifying areas where improvements can be made.
The software quality model includes a set of criteria to rate the quality of software. These criteria can include usability, reliability, performance, scalability, security, and maintainability. All of these criteria need to be taken into consideration when developing and maintaining a software product.
The software quality model is composed of several components. The software quality assurance plan outlines the steps that need to be taken to ensure that the quality of software meets the customer requirements. The software quality assessment process is used to measure and monitor the quality of the software. Finally, the software quality assurance objectives are used to establish a benchmark for the development and maintenance of software products.
Examining Real-World Implementations
Two popular software quality models: the Capability Maturity Model (CMM) and the Quality Model (QM). These models are used by many organizations to ensure the highest quality of their product and to facilitate continuous improvement. In this blog post, we’ll discuss what these models are and how to evaluate them.
The CMM is a five-level model developed to assess the capability of an organization to produce software efficiently and effectively. It defines five levels of maturity from Initial to Optimizing. Each level is associated with certain components such as process maturity, technology maturity, organizational maturity, and product quality. The model is used to determine the maturity of an organization’s software development process and provide feedback and support throughout the development process.
The Quality Model is another popular software quality model. It is used to assess the quality of a product and ensure that it meets the highest standards. The model evaluates the product based on its effectiveness in producing high quality software, including measuring the level of process maturity, technology maturity, organizational maturity, and product quality. Additionally, the model should be evaluated for its ability to maintain product quality and provide feedback and support throughout the development process.
The CMM and QM have both been implemented in real-world scenarios with great success. Major companies such as Microsoft, Oracle, and IBM have used the quality model to assess the quality of their products. Additionally, many organizations have adopted the CMM model to improve their development processes and ensure the highest quality of their software.
How to Measure Software Quality
Software quality is a key factor in any successful business operation. To ensure that a software product meets the highest standards, organizations must measure its quality using the appropriate metrics and factors. While the use of quantitative and qualitative metrics is important, so too is the use of objective criteria to measure software quality.
When it comes to measuring software quality, there are a number of metrics that can be used. These include code coverage, defect density, performance, and maintainability. Code coverage is a metric that measures the percentage of code that has been tested and verified. Defect density measures the number of defects in a given piece of software. Performance measures how well the software performs against predetermined goals, while maintainability measures the ease of making changes to the software.
Using a software quality model is a great way to measure software quality. This model can help identify areas of improvement, and ultimately reduce development costs. When using a software quality model, it is important to set measurable goals and objectives. This helps ensure that the software is meeting the desired quality standards.
| Software quality model — recommended articles |
| Validation of process — Reliability of measurement — Defect per million opportunities — Continuous improvement of quality — Quality parameter — Methodology for process improvement — Design for quality — Service quality control — Levels of maturity |
References
- Bakota, T., Hegedűs, P., Körtvélyesi, P., Ferenc, R., & Gyimóthy, T. (2011, September). A probabilistic software quality model. In 2011 27th IEEE International Conference on Software Maintenance (ICSM) (pp. 243-252). IEEE.
- Miguel, J. P., Mauricio, D., & Rodríguez, G. (2014). A review of software quality models for the evaluation of software products. arXiv preprint arXiv:1412.2977.
- Rawashdeh, A., & Matalkah, B. (2006). A new software quality model for evaluating Cots components. Journal of computer science, 2(4), 373-381.
