The software development and maintenance environment is called as software quality assurance environment. In today's world where numerous complex and critical software applications are used in daily life, ensuring the quality and reliability, or in other words, the quality assurance of these products is essential. On the other hand, to increase the likelihood of projects’ success, utilizing software quality standards to guide the quality assurance process is of great importance. Passive defense in software refers to a set of measures taken to enhance security and reduce software vulnerabilities against threats. software quality assurance standards, such as ISO 9001 and ISO 25010, emphasize the development of software with features like security, reliability, and flexibility. These features align with the objectives of passive defense, as secure and flexible software can resist various threats and ensure continued functionality. ISO standards such as ISO-9001 and ISO-25010, as well as IEEE standards like IEEE 730 and IEEE 828, define basic concepts and key principles for software quality assurance. These standards play a significant role in the software quality assurance process by improving the performance and quality of software. In this article, we examine 8 common and widely used software quality assurance standards, categorized into two groups: "Project Process Standards" and "quality Management Standards". This article can be utilized by software development organizations and software project managers to enhance the quality of their products.

One of the major challenges in software engineering is how to respond to the desolate state of high-quality software development in a timely and cost-effective manner. software quality refers to the abilities related to the properties of software products in meeting users' requirements. Many studies have been conducted in an attempt to formalize the quality of software. However, according to the recent researches, the lack of comprehensive quality model is rooted in neglecting all quality aspects. In this study, we review nineteen quality models and classify them from three different perspectives, including structural, behavioral, and basic and derived aspects. The main aim of this paper is to specify and extract the more comprehensive set of quality factors to evaluate software quality. Moreover, this paper compares the different quality models and analyzes the factors to draw the necessary aspects in comprehensive quality models. Since the software quality involves several engineering tasks and several players who deal with quality concepts during software life cycle according to their various roles, in various phases and different artifacts, comprehensive quality models must consider many factors. These factors are in different aspects such as the measurement time in different development phases, product as well as process-related quality factors, a set of quality metrics measureable on the different type of artifacts such as document, model and source code, and finally a specific mechanism to apply dynamic weights to quality factors to determine their impacts on final quality of a product based on its application domain.

Introduction: Various types of software are used in health care organizations to manage information and care processes. The quality of software has been an important concern for both health authorities and designers of Health Information Technology. Thus, assessing the effect of software quality on the performance quality of healthcare institutions is essential.Method: The most important health care quality indicators in relation to software quality characteristics are provided via an already performed literature review. ISO 9126 standard model is used for definition and integration of various characteristics of software quality. The effects of software quality characteristics and sub-characteristics on the healthcare indicators are evaluated through expert opinion analyses. A questionnaire comprising of 126 questions of 10-point Likert scale was used to gather opinions of experts in the field of Medical/Health Informatics. The data was analyzed using Structural Equation Modeling.Results: Our findings showed that software Maintainability was rated as the most effective factor on user satisfaction (R2=0.89) and Functionality as the most important and independent variable affecting patient care quality (R2=0.98). Efficiency was considered as the most effective factor on workflow (R2=0.97), and Maintainability as the most important factor that affects healthcare communication (R2=0.95). Usability and Efficiency were rated as the most effectual factor affecting patient satisfaction (R2=0.80, 0.81). Reliability, Maintainability, and Efficiency were considered as the main factors affecting care costs (R2=0.87, 0.74, 0.87).Conclusion: We presented a new model based on ISO standards. The model demonstrates and weighs the relations between software quality characteristics and healthcare quality indicators. The clear relationships between variables and the type of the metrics and measurement methods used in the model make it a reliable method to assess the effect of software quality on healthcare organizations’ quality performance.

In software rating area, it is necessary to apply a measurement reference model to evaluate the quality of software. The standard 25030 is an example of an evaluation system which is based on stakeholders' requirements. In this study, an attempt has been made to establish a model in which all implicit and explicit requirements of stakeholders, users and policy makers have been taken into account. In addition, AHP method has been followed to weigh the indicators used in the model. The results show applicability of the model to meet the requirements of Iranian users.

The Internet of Things is a growing and emerging technology made up millions of interconnected smart objects which use Internet as the platform for connecting to each other and transferring information in heterogeneous environments. The multiplicity of protocols, the amount of packets sent, the sensitivity of packets to latency and loss require the various levels of quality of services. In order to be able to deliver quality of service effectively in heterogeneous environments, a centralized control module in the network is required. software-defined networks with the ability to program and centralize the network can help us achieve this goal. By separating the data plane from the control plane, these networks provide us with mechanisms and facilities that increase the level of the QoS in the network. In this paper, we improve the quality of services in software-defined Internet of Things using a fuzzy multi-objective approach which is applied to the routing process based on fuzzy goal programming algorithm. The results of this study can be used in the development of models and frameworks to improve the quality of services in the software defined-internet of things networks. The proposed method has better conditions than competitive algorithms in terms of end-to-end delay, number of violated flows and activated links.