The Software Quality Assurance is an activity for every company that develops software and must carry it out in a clean and correct manner. It is a software engineering process that is defined as a set of planned and systematic actions that are necessary to provide the adequate confidence in a product or service to meet the given quality requirements. The standards of implementation will give the starting point of the coding, these are as important as the architecture that is going to be used for the development of the application. Implementation standards are not coding rules that the developer must comply with. From the description of a module, going through the description of a file to the description of a variable that participates in a method of a class. Implementation standards have been defined and used with greater rigidity since the beginning of object-oriented programming. The assurance of the quality in the life cycle of the software in the cycle of life of the same implies a series of processes that go from the review and audit of products and procedures used to produce a software that reflects all the required standards , using and applying mechanisms that allow the measurement and generates testing certification services. Through the quality of the software what is wants to ensure that all the features of a product can meet all the needs of customers, in terms of functionality, execution, reliability and availability. Quality assurance is the establishment of a framework of procedures and organisational standards that leads to the development of quality software. The quality assurance procedures are documented in a quality manual that defines the development process. There are two types of standards: Product Standards such as the structure of the requirements document, the coding document that defines how to use a programming language, document standards. Process Standards are defined as the processes to follow during development. They include definition of the specification, design, and validation processes, and a description of the documentation to be generated. Quality Planning starts in the first stages of development independently of the planning of the general project. Defines the quality of the desired product, defines how to value the quality. The assurance of quality as part of the software quality assurance transmits to the project team and the client the security and confidence that the final product will be successful. The present investigation proposes a set of requirements that synthesise the good practices of international models, standards and norms in addition to adapting to what is stated in the business improvement. The Quality Assurance process that is obtained is focused on the current needs of the software development entities, because it can be implemented in entities regardless of their size. It was designed to be part of the support category of the Quality Model for the Development of Computer Applications. The proposal includes a graphic and textual description of the process, which facilitates compliance with the requirements, as well as the roles involved and work products that are generated from the execution of the same. A system of indicators is defined to measure effectiveness and usefulness, as well as others that can be used to provide objective information to the project team and management. In addition to others that can be used to provide objective information to the project team and direction.
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The business world is changing. The dynamics of the client is changing. The customers are changing. And everyone is in a race to discover why instead of just who or how. Companies are in a competitive real-time struggle to know when customers buy something, where they buy it and what they are thinking before they even enter the store. Big data analytics services are young; it is not just data or technology, but all-social networks, customer behaviour and customer segmentation, to name a few. It is not possible to connect a big data application and expect to see the future. BI, master data management, big data and analytics must be integrated into a platform and grouped into a visually innovative solution. Data repositories, data mining and database technologies have existed in various forms for years. The exploration and analysis of semi-structured data without structure is something new. We did not analyse email messages, PDF files or videos few years ago. Internet was just a fad; distributed computing was not created yesterday, but the possibility of distributing and scaling a system in just a moment-and with smaller budgets-is new. In a similar way, wanting to predict the future is not a new concept, but being able to access all the data created and store them is something new. Various sources say that 90 percent of the data that exists today is only two years old. And those data are growing rapidly. If 90 percent of all data in the world were created in the last two years, what does that say about the data? Many companies have multiple databases and multiple database providers, with terabytes of data. Some of these systems accumulated data for 30 or 40 years. Many companies developed entire platforms for data warehousing and analytics from this old data. Large retail corporations became trillion dollar companies long before big data existed. Therefore, it was not the data that drove your business. However, data as a service can boost a company. Think of an online e-commerce products company. Now, people see them as a service platform, as service software, as big data services and as a data centre company in the cloud. E-commerce companies developed an incredible recommendation engine over the years from various open source technologies to scale its own databases and analytics. For data to be useful to users, they must integrate customers with financial and sales data, with product data, marketing data, social networks, demographic data, competitive data, and more. The integration of big data analytics services is not an easy task. Big data applications are one way to achieve this. It also requires time, patience and innovation. An open source system is much faster and less expensive to implement, but you need experienced personnel to do so. If you have no experience in working with big data, a big data provider application may be the best option, although this is more expensive. Remember that not everyone wants to be a software or hardware company. Sometimes developing an integrated big data platform requires a little development and purchasing to achieve your goals.
The assurance of quality is one of the parts of a project that cannot be neglected. A plan, some criteria, a method of implementation and sufficient means to guarantee control are elements to be provided. Quality assurance transformation services allow you to produce only what is sold. At this stage, sufficiently defined and documented requirements for the quality of goods should be established. At the same time, it is necessary to pay attention to the requirements for all elements of the proposed products as a whole. These can be hardware, software, recyclable materials or services. In general, when studying the market, you should pay attention to establish the need for the product and identify customer requirements by analysing market needs in order to determine market demand and market sector, as it is necessary to establish the grade, quantity, price and timing of production to communicate information on all customer requirements within the organisation and also seek the agreement of all relevant organisational units regarding their ability to meet customer requirements.
After determining the technical requirements for the product, their official presentation is required. They should then be converted into a preliminary list of technical requirements as a basis for further design work. During all stages of the life cycle, it is necessary to ensure continuous operation of the feedback system and control of the information received. All information relating to the operation of goods by consumers and their satisfaction with product quality should be carefully analysed, verified and included in reports in accordance with documented procedures. It helps to identify the nature and size of the problems associated with the product, based on the experience and requirements of the consumer, to develop a set of measures leading to improved product quality or the development of new types of goods. When analysing the market, it is necessary to make a comparison of the company's products with those of competitors. It is desirable to conduct a comparative analysis of the competitiveness of the enterprise for certain types of products, in terms of brands, varieties, etc. Product Design is a significant and responsible element of the production and economic activity of the enterprise. It must be remembered that the success of the product, and therefore the enterprise as a whole, depends largely on the quality of design, and mistakes in design and in choosing development priorities can lead to large losses for the organisation in the future. In the process of product design, customer requests are translated into the language of technical requirements for materials, products and processes embodied in the design documentation. The main goal of the project is to either create a new product or upgrade an existing one. The result of this activity is the release of goods, ensuring customer satisfaction, sold at a reasonable price and ensuring the organisation receives sufficient profit. Quality systems are not only applicable to points in the production process but they also control the services offered by the business. In order to understand the notion of Quality Assurance, the definition of quality should be given. Quality is the set of characteristics of a product or service that is relevant to meeting the needs and demands of the consumer targeted. The concept of quality is not limited to the quality of the product or service, but extends to the quality of the company that offers it. Thus, the concept of quality assurance transformation services is created, the main purpose of which is to maximise business efficiency and minimise costs. Currently, many technology and automation testing services companies are involved in a very competitive market, where their main objective is to release products in less time to the market and anticipate the competition. In a world where requirements and needs change very dynamically, it is necessary to correctly address the time, Cost and Quality of the Product, to meet the needs of the industry and the user experience design. One of the main keys, is to streamline the processes of construction and testing of the product, are the automated tests, which allow to optimise the validation times of the functionalities built according to the requirements, which are more common and recurrent, leaving People devote more time to tests that are more critical or more important to the business.
Adopt high volume automation techniques Large-volume methods perform thousands or billions of tests without human intervention. Here are four examples of industry methods:
The technology is changing the lives of citizens and businesses. We are living the real revolution of the data. Knowing the keys of big data analytics is essential to keep moving forward. Experts call the 4th industrial revolution this profound technological transformation that is happening at a dizzying pace and that is impacting absolutely in all sectors of activity. Because, despite having the surname of industrial, it is a disruptive revolution that is not only reflected in the industry, but also in the financial field, in health, robotics, security, utilities, etc From customer relations to the user experience, through the transcendence of software free paper or Analytics to detect the fraud. The innovation linked to Big Data is unstoppable and about it we are told by eleven experts and professionals who work and coexist day by day in this sector.
Advantages of Big data The advantages of Big Data are based on the capacity for processing and obtaining information that this technology is capable of. The use of these advantages will depend on the expert creation of these systems, which is why the demand of professionals with a Master in Big Data is one of the trends in the labour market. The big data analytics is a source of important advantages for the business. Among the main qualities of advanced analytics Analytics are the following:
Digital Marketing is the set of strategies aimed at the promotion of a brand on the internet. It differs from traditional marketing to include the use of channels and methods that allow the analysis of results in real time. The best digital marketing strategy for B2B companies that focuses on the generation of quality leads is called Inbound Marketing. Here we will tell you what elements are fundamental to take care of so that your strategy gives you the desired results:
Email Marketing Email is still an effective, easy and inexpensive method to conduct campaigns. In fact, the emails of B2B companies get the recipients to click 47% more than the emails of B2C companies. Email marketing is versatile: it can be used to promote events, discounts, blog posts or product launches. It is also a basic communication tool with the client, which contributes to increasing leads: 75% of professionals consider email marketing their first source of leads. PPC campaigns (pay per click) After the fall of the organic scope in social networks and the increase of the competition to arrive at the first places in the search engines, PPC campaigns have become an increasingly relevant option within any strategy of companies. Segmenting with precision it is possible that a website or a landing page increase the number of visits and generate qualified leads Virtual events No need to hire a room and fill it with people to promote a specialised product: gathering an audience at a certain time and a digital space is much easier, and allows sending a clear, direct and interactive message to followers, users and customers. Social networks such as Face book or YouTube, allow you to create this type of events easily and completely. A virtual event can also be integrated with landing pages or emails, to complement its previous and subsequent dissemination, or allow the download of premium content for attendees or subscribers. Content Marketing and SEO Even today there are companies that neglect or disregard content marketing and SEO to focus on other strategies of more immediate results. The constant creation of quality content, coupled with a correct optimisation of digital content for better search engine positioning, is a strategy that pays off to achieve the generation of qualified leads on a constant basis. Good SEO serves to identify who comes to your page and how, to know what to offer by identifying keywords and key search terms, which also serve to refine the process of tracking and selling. Social Media Marketing Social networks are a powerful channel to spread content and attract an audience. They are also an essential component to humanise and bring companies closer to the public, as well as a unique communication platform to publicise news, disseminate news and publicise products. During this year, half of the B2B companies that have used social networks in their strategy have managed to positively impact their sales, according to a study by Smart Insights, mainly mixing the use of social networks with creative campaigns driven by advertisements A fundamental factor for any digital marketing strategy is the consistency of the tools used in all campaigns. An ability to understand the totality of actions as a whole, bringing together investment, creativity, objectives and analysis of results. |
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