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Software testing is a huge domain; it can be roughly divided into two areas: manual test and automatic test. In manual test, run test case manually by tester using a tool or without support from scripts, but in automatic testing, the test case will be run with the help of the tool, scripts, and software. Both manual and automation testing services provide advantages and disadvantages to get the best results and when to use one or the other it is worth knowing the difference.
Testing is an integral part of any successful software project. Test type depends on various factors, including project requirements, budget, timeline, expertise, and conformance. Three important factors of any project time, cost, and quality - all three are related to each other. The goal of any successful project is to successfully complete while maintaining high-quality output In order to reduce the cost and time required to sometimes come to the exam, one type can achieve this goal better than others. Manual testing and automatic testing covers two vast areas, within each category, concrete test methods are available, such as black box test, white box test, integration test, system test, performance test, and load some of these methods are suitable for manual testing and some are done with the best automation.
Exploratory testing: This type of testing requires knowledge of testers, experience, analysis / logical skills, creativity, and intuition. Tests are characterized here by documents of poorly written specifications we will need human skills to carry out the testing process in this scenario, and brief for running.
Usability Test: This is the area you need to measure how user-friendly, efficient, or useful software and products are for end users Here, human observation is most important It is a factor, so a manual approach is preferred.
Ad Hoc Test: In this scenario, there is no concrete approach, which is a totally unplanned way of testing, where tester understanding and insight is the only important element.
Regression test: Here, because there is an automatic test, it is suitable for frequent code changes and the ability to perform regression in a timely manner.
Load test: Automated test is also the best way to complete a test efficiently when coming to load the test.
Repeat execution: Requires repetitive task execution test is best automated.
Performance test: Similarly, testing that requires simulation of thousands of concurrent user’s needs automation.
Keeping these factors in mind, you can achieve a quality output within your budget and timeline, finding the best approach to any test situation. Everyone involved in software development will be suffering from complicated requirements and frequent specification changes. Especially in the development of embedded software, despite the occurrence of defects becoming a fatal problem, it is unlikely that sufficient development time will be given even if specification changes occur. Manual testing is not accurate at all times due to human error, hence it is unreliable, automation testing services are more reliable, as it is performed by tools and/or scripts.
The media entertainment have been considered as indispensable elements for disseminating information. The opening of new specialized programs, both on the radio and on television, has given people the opportunity to keep up to date with what is happening in the world. For the media not only reflect what happens in the world but they invoke a culture and an ideology that is constantly reproduced and that has a permanent impact on our society. In recent centuries entertainment has been progressively deployed to the global population, with many kinds of recreational activities that have become habitual; from reading books or visiting museums and historical places to playing sports or travelling the world.
Certainly all fields of entertainment have witnessed, virtually, a technological revolution that has contributed to making the fun more accessible, more comfortable or more accessible to the population. However, when we think about where technology plays, currently, the main role in entertainment; we usually find that the show business tops the list, with the industries of television, movies, music and video games. In each of these fields, technological changes have historically been the source of great innovations. . Of course, a look at the past can help us imagine what the future evolution of entertainment technologies will look like.
The constant innovation in the news media has led to better alternatives for the viewer. Perspective that has managed to position them, as one of the most influential in the public. The media define themselves as those who undertake to inform the public with total objectivity of what happens in various aspects of our society, as well as in politics, business, society itself, shows, culture etc. The radio and television cover an important sector within the population. The results indicated that both radio and television are media entertainment that preserve information, since they deal with issues of public opinion; political, cultural, social, etc.
When observing the technological changes with the current look, the different branches of entertainment may seem to follow a common evolutionary path. However, some technologies appear on the entertainment horizon promising to be truly revolutionary, as well as the introduction of MPEG standards, graphics based on GPU processors and other disruptive innovations. For example, it is expected that the content will be increasingly personalized, with increasing experiences in satisfaction and being more and more capable of being interactive and adapting to the expectations of the audience. This has begun to happen with social and intelligent media entertainment systems that learn the habits and preferences of users and use them to find other related content that may be of interest.
The devices we use to access the content should also be adapted to the expectations of the users, particularly in terms of flexibility. The distinction between the roles of televisions, game consoles, mobile devices, e-book readers are increasingly ephemeral, as users often expect technology to allow them to use their smart TVs to watch movies , keep in touch with your friends and play multiplayer video games. Robots are benefiting from synergies with other industries and gaining more powerful control and interaction capabilities. Museums and historical sites are implementing sensor, mobile and computer graphics technologies and are being transformed into intelligent information spaces that are aware of the behaviour and interests of individual visitors and are able to feed them with the appropriate information at the time.
Jan 8, 2019
5G is called the next-generation wireless network technology, which is expected to increase the speed of your internet connection ten times over its predecessor, the 4G. That speed will be enough to see unrestrained videos in 8K resolution or download a 3D movie within 30 seconds when with the 4G you would need about six minutes. In addition, the new technology will have extra capacity, which will allow simultaneous connection of more devices to the same network. But the 5G Technology is meant for bigger things than smartphones. Sensors, thermostats, chassis, robots and other technology breakthroughs will be connected to the 5G. The older 4G network does not have the bandwidth required to handle the huge amounts of data transmitted by these devices. The new era in the world of the Internet is approaching. The 5G is at an advanced stage of development and tells us that with its incredibly high speeds it will soon and definitely change our lives for the better. 5G will be the driving force of the global economy. Cars without the driver, virtual reality, smart cities, robots, everything will need the 5G network to operate. The new network promises to pave the way for new surgeries, safer movement, and more direct communication.
The big telecommunications companies are working so that the new cell phones have a faster internet with more range. It is expected that 5G technology that the first phones with this system would go on the market in 2019. When this new system was developed, it has experimented with very high-frequency spectra. But this was ruled out because, although it ensured a great performance, the signal's reach was not as expected and interference was generated. From then on they decided to work with lower frequencies that allow the signal to propagate efficiently reaching great distances and crossing walls and other obstacles. All in the face of the first implementations we also have to be attentive to the auction and bidding of frequencies, that now having defined the standard governments can get down to work, and thus be able to accelerate the deployment of 5G in each one of the countries.
The main restriction is represented by the latency and jitter present in the mobile data lines. These factors often negatively affect the quality of the call by introducing noise in the audio band. The phenomenon is much more evident in suburban areas and in areas with little coverage. Mobile technologies (2G, 3G, and 4G) have focused mainly on increasing coverage, increasing the bandwidth of available data and reducing latency. The objective has always been to improve communication from person to person. When this new system was developed, it has experimented with very high-frequency spectra. But this was ruled out because, although it ensured a great performance, the signal's reach was not as expected and interference was generated. From then on they decided to work with lower frequencies that allow the signal to propagate efficiently reaching great distances and crossing walls and other obstacles. 5G Technology is at an advanced stage of development bringing a new era in the internet world. What they all claim is that it’s incredibly high speeds are going to permanently and irrevocably change our lives for the better.
The development of big data analytics services in the next few years will shift from the expected expansion stage and speculation stage of the previous years to the stage of rational development and application. Big data will gradually enter the stage of rational development in the next few years.
Big data development challenges
At present, there are still many challenges in the development of data integration, the lack of clear data analytics demand in the business sector leads to the gradual loss of data assets; the internal data islands are so serious that the data value cannot be fully exploited; the data availability is low, and the data quality is Poor, resulting in data unusable; data-related management technology and architecture behind, resulting in no big data processing capabilities; data security capabilities and poor awareness, leading to data leakage; lack of big data talents make big data work difficult to develop; big data is more open The more valuable, but the lack of big data-related policies and regulations, resulting in a difficult balance between data openness and privacy, and it is difficult to open up better.
Many enterprise business departments do not understand big data, and do not understand the application scenarios and values of data analytics. Due to the unclear demand of the business sector, the big data department is also a non-profit sector. The decision-making level of the enterprise is worried about the cost of investing more, which has led many companies to hesitate to build a big data department, or many companies are in a wait-and-see attitude. It fundamentally affects the development of enterprises in the direction of big data, and also hinders enterprises from accumulating and mining their own data assets. Even if the data has no application scenarios, many valuable historical data are deleted, resulting in the loss of enterprise data assets. Therefore, this aspect requires big data practitioners and experts to promote and share big data application scenarios, so that more business people can understand the value of big data.
Real-time challenges, if from a general data quality perspective, the value of data will gradually decrease over time, and the longer the data, the lower the value. For example, a mall needs to make a recommendation for customers currently in the mall. However, the time to collect and process data end-to-end is too long. Finally, the list of users obtained by the recommended platform is an expired list. The list on the list may not be in the mall, and the newly arrived users have not been updated to the list, so many The business puts high demands on the end-to-end real-time performance of the big data platform.
Big data is not only used by businesses and governments, but also in our lives. In terms of health: we can use smart bracelet monitoring to track our sleep patterns to understand the quality of sleep; we can use smart heart rate monitors to monitor the health of elderly people in different places. The out-of-town workers far away from others are more reassured; in terms of travel: we can use smart navigation to navigate GPS data to understand traffic conditions and conduct real-time tuning based on congestion conditions. From the digitalization of cities to the wisdom of cities, the key is to realize the intelligent processing of digital information, the core of which is the introduction of big data processing technology. Big data analytics services are the core intelligence engine of smart cities. Smart security, smart transportation, smart medical care, smart city management, etc. are all smart city applications based on big data.
Dec 7, 2018
The risk management is the process of identifying, analyzing and responding to risk factors over the life of a project and for the benefit of its objectives. Appropriate risk management involves the control of possible future events. In addition, it is proactive, rather than reactive. The system must also be able to quantify the risk and predict its impact on the project. Consequently, the result is an acceptable or unacceptable risk. The acceptance or non-acceptance of a risk often depends on the level of tolerance of the project manager for the risk. If it is configured as a continuous and disciplined process of identifying and solving a problem, then the system will easily complement other systems. Surprises will decrease because the emphasis now will be on proactive rather than reactive management.
Risk management objectives
The risk management process is divided into several components. Experts somewhat disagree about their number and classification, but, in our opinion, the following list can be considered quite complete.
Risk management planning: The plan should describe the general approaches to managing risks in the project and the main actions that will have to be performed.
Identify risks: It is necessary to identify those situations or events that may have negative consequences for the project. Project participants identify risks based on their experience gained in previous projects or in previous stages of this project. Identified risks are carefully documented.
Analysis and assessment of the priority of risks: The identified risk should be analyzed to determine its potential impact on expenditures, work schedule, etc. For each risk, the probability with which it can be realized is also assessed. The priority of risk is determined on the basis of the product of its probability for possible consequences.
Planning the response: For each risk, the steps necessary to reduce the likelihood of risk and its consequences are determined. Implementation of plans is not included in the risk management process; it is carried out within the framework of the main development processes. To combat risks, you can plan not only actions, but also the corresponding reserves.
Risk monitoring: The purpose of this measure is to change priorities and plans for overcoming risks as their likelihood and consequences change, as well as timely identification of risks that are currently being implemented. In essence, it is a repetition of steps to identify and analyze risks.
Risk List: Ordered by priority list of identified and monitored risks. Priority is defined as the product of the probability by the magnitude of the impact.
The following risk control strategies are most commonly used
Avoid risk: Reorganize the project so that it does not depend on this event. For example, when developing software, you can exclude doubtful functionality. Unfortunately, this way it is rarely possible to fully satisfy the customer
Forward risk: The contractor resorts to a kind of insurance - if the risk appears, the customer undertakes to pay for additional work. In case of realization of such a risk, the management of the company undertakes to involve some more employees in the project.
Agree with the presence of risk: This does not mean that one should not do anything, but simply passively wait for the risk to be realized. Agreeing with the presence of risk, you can take some actions aimed at reducing the likelihood of its manifestation, reducing its consequences or develop an alternative action plan is performed if the risk is realized.