A compatibility test is an assessment used to ensure a software application is properly working across different browsers, databases, operating systems (OS), mobile devices, networks and hardware. Compatibility testing is a form of non-functional software testing -- meaning it tests aspects such as usability, reliability and performance -- that is used to ensure trustworthy applications and customer satisfaction. Compatibility tests are crucial to the successful performance of applications. They should be performed whenever a build becomes stable enough to undergo testing.
Content is everywhere. It’s very often the first way your users will engage with your product. So it’s important that your content speaks to them. Content testing is how you make sure that your content is understood and well-perceived by your audience. In short, content testing is a research method used to understand if your content works for your users and readers. With content testing, you can check if the content you create resonates with users, speaks directly to their pain points, and provides enough context to help users complete tasks successfully.
End-to-end testing is a methodology used in the software development lifecycle (SDLC) to test the functionality and performance of an application under product-like circumstances and data to replicate live settings. The goal is to simulate what a real user scenario looks like from start to finish. The completion of this testing is not only to validate the system under test, but to also ensure that its sub-systems work and behave as expected. Software today is becoming more complex. Applications are built on layers and entire networks of sub-systems, including UI and API layers, external databases, networks, and even third-party integrations. When one fails, so does the entire product, making the stability of each component vital to the success of an application. This means there is a clear need to test the entire application, from start to finish - at both the API and UI layers. End-to-end tests should be run using both automated testing and manual testing tactics - allowing your team to maximize their coverage while also finding new bugs in an exploratory fashion.
Artificial intelligence and machine learning are the part of computer science that are correlated with each other. These two technologies are the most trending technologies which are used for creating intelligent systems. Although these are two related technologies and sometimes people use them as a synonym for each other, but still both are the two different terms in various cases. Artificial intelligence is a field of computer science which makes a computer system that can mimic human intelligence. It is comprised of two words "Artificial" and "intelligence", which means "a human-made thinking power." Machine learning enables a computer system to make predictions or take some decisions using historical data without being explicitly programmed. Machine learning uses a massive amount of structured and semi-structured data so that a machine learning model can generate accurate result or give predictions based on that data. Machine learning works on algorithm which learn by it?s own using historical data. It works only for specific domains such as if we are creating a machine learning model to detect pictures of dogs, it will only give result for dog images, but if we provide a new data like cat image then it will become unresponsive. Machine learning is being used in various places such as for online recommender system, for Google search algorithms, Email spam filter, Facebook Auto friend tagging suggestion, etc.
Visual analytics is the use of sophisticated tools and processes to analyze datasets using visual representations of the data. Visualizing the data in graphs, charts, and maps helps users identify patterns and thereby develop actionable insights. These insights help organizations make better, data-driven decisions. Sometimes confused with data visualization, visual analytics isn’t simply a matter of representing data graphically. Rather, modern, interactive visual analytics makes it easy to combine data from multiple sources and deeply analyze the data directly within the visualization itself. Further, AI and machine learning algorithms can offer recommendations to help guide the user’s exploration.
Management consulting, often referred to as business consulting, is defined as “advisory and/or implementation services to the (senior) management of organisations with the aim of improving the effectiveness of their business strategy, organisational performance and operational processes”. Management consulting is – due to the great diversity in disciplines and differences in required capacities of advisors – the broadest area within the consulting industry, and covers between 50% - 55% of the total consulting market.
Data management is the practice of collecting, keeping, and using data securely, efficiently, and cost-effectively. The goal of data management is to help people, organizations, and connected things optimize the use of data within the bounds of policy and regulation so that they can make decisions and take actions that maximize the benefit to the organization. A robust data management strategy is becoming more important than ever as organizations increasingly rely on intangible assets to create value. Managing digital data in an organization involves a broad range of tasks, policies, procedures, and practices. The work of data management has a wide scope, covering factors such as how to:
Big data as a service is the delivery of data platforms and tools by a cloud provider to help organizations process, manage and analyze large data sets so they can generate insights in order to improve business operations and gain a competitive advantage. The classification of big data is divided into three parts, such as Structured Data, Unstructured Data, and Semi-Structured Data Big Data Technology can be defined as a Software-Utility that is designed to Analyse, Process and Extract the information from an extremely complex and large data sets which the Traditional Data Processing Software could never deal with.
Mobile application development is the set of processes and procedures involved in writing software for small, wireless computing devices, such as smartphones and other hand-held devices. Like web application development, mobile application development has its roots in more traditional software development. Mobile application development is the set of processes and procedures involved in writing software for small, wireless computing devices, such as smartphones and other hand-held devices. Like web application development, mobile application development has its roots in more traditional software development.
iOS application development is the process of making mobile applications for Apple hardware, including iPhone, iPad and iPod Touch. The software is written in the Swift programming language or Objective-C and then deployed to the App Store for users to download. Swift is a powerful and intuitive programming language for iOS, iPadOS, macOS, tvOS, and watchOS. Writing Swift code is interactive and fun, the syntax is concise yet expressive, and Swift includes modern features developers love.
Cross-platform mobile development is the creation of software applications that are compatible with multiple mobile operating systems. Originally, the complexity of developing mobile apps was compounded by the difficulty of building out a backend that worked across multiple platforms. The demand for cross platform app development framework has reached a new height. The prime reason behind this increased demand is that cross-platform apps have wider reach as compared to native apps because of which they allow businesses to reach a wide number of people making it a 'one-of-a-kind technology'.
The ever increasing number of mobile phone users is not less than a testimony to the requirement of high end apps for your business. As a matter of fact, the coming of newer and smarter phones every now and then has given a significant boost to the requirement of such apps, so that you don’t lose your tech savvy customers to your rivals and help them stay connected to your business. Backed by transparency and effective collaboration, the Windows mobile app process adopted by Myva is quite renowned in the industry. With a great pool of skilled and experienced Windows mobile application developers, we have been able to maintain a powerful and successful track record of satisfied clients. When it comes to adapting to the very latest in the world of Windows mobile phones, we are second to none! Over the years, we have developed and deployed a variety of custom Windows mobile applications for businesses across the world.
Cross-platform mobile development is the creation of software applications that are compatible with multiple mobile operating systems. Originally, the complexity of developing mobile apps was compounded by the difficulty of building out a backend that worked across multiple platforms. Cross-platform mobile app development is the process of creating mobile apps that can be deployed or published on multiple platforms using a single codebase, instead of having to develop the app multiple times using the respective native technologies for each platform.
Application Management Services' definition refers to services of enterprise application management provided by various organizations to companies that need to outsource their enterprise application management processes. These organizations that take up the application management task have IT expertise and expertise of similar application management for other companies operating in the same domain of business.
ABAP Factory, or development factory, is a line of Orane Consulting's SAP Services that includes an ABAP Resource Pool with core and advanced skill set with off-shore delivery centre and rapid response mechanism. A factory method is a static method that creates and then returns (as a parameter) a reference to the object of the class it belongs to. The code for the creation of the object is contained within the factory method. Factory Method design pattern could be most used design pattern in the modern world application. Factory method design pattern hides all the complexity of the instantiating an object from the consumer.
The Audit to Optimize process unit audit and optimization service uses our global experience with topside processing equipment to improve your facility operations. Service engineers analyze your operations, review the full process train of equipment, and deliver tailored recommendations to optimize or upgrade your facility. During the audit, we speak with your operations team to understand facility issues and maintenance routines and determine likely future requirements. We also inspect all installed equipment to determine the baseline performance. Before the audit, our engineers investigate your facility and equipment history, gathering information about current and past performance. They review process optimization opportunities, immediate troubleshooting challenges, bottlenecks, and spare parts stocks.