-
-
-
-
URL copied!
Mobile Apps are basically software products, so design principles and patterns from regular software design books apply to mobile application development as well. Yet like all unique software environments, mobile application development also have a unique set of environmental constraints.
Following are some design guidelines that can equip you with the required insight for designing for best Mobile apps development company in India. Use these guidelines to ensure that your applications meet required standards and perform efficiently under various mobile environment constrains.
Should it be a native client, a thin web client, or rich internet application (RIA)?
If your application requires local processing and needs to occasionally work in a connected scenario, consider designing it as a native client, although it will be more complex to deploy and maintain. If your application is highly dependent on server processing and will always be fully connected, consider designing it as a thin client. If your application requires a rich user interface (UI), only limited access to local resources, and must be portable to other platforms, design as a RIA client.
Design for occasionally connected, limited-bandwidth scenarios
Mobile devices are standalone devices, which means you will need to account for connection issues. It is common for a mobile application to fall into a use case where network connection is intermittent or not available. Hence it is important to design for application caching, state management, and data access mechanisms with intermittent network connectivity in mind. One very effective approach to handling this use case is to maintain content locally (offline mode) with server sync state; then as soon as a network connection is established, to push local content to the server. Another approach is batch communication for times of connectivity. Also choose hardware and software protocols based on speed, power consumption, and “chattiness”—not just on ease of programming.
Design a UI appropriate for mobile devices, taking into account platform constraints
Mobile devices require a simpler architecture, simpler UI, and other specific design decisions in order to work within the constraints imposed by the device hardware. Keep these constraints in mind and design specifically for the device instead of trying to reuse the architecture or UI design from a desktop or web application. The main constraints are memory, battery life, ability to adapt to different screen sizes and orientations, security, and network bandwidth.
Design a layered architecture appropriate for mobile devices that improves reuse and maintainability
Depending on the application type, multiple layers can be located on the device itself. Use the concept of layers to maximize separation of concerns and to improve reuse and maintainability for your mobile application. However, aim to achieve the smallest footprint on the device by simplifying your design compared to a desktop or web application.
Consider device resource constraints such as battery life and memory size
Every design decision should take into account the memory usage and battery life of mobile devices. With processors such as Snapdragon 800 2.3GHz quad-core and RAM sizes of 2-3 GB already on the market, processor speed and available memory are not major concerns in mobile application design today. Battery life is usually the most limiting factor in mobile devices. Backlighting, reading and writing to memory, wireless connections, network traffic, and specialized hardware such as GPS have an impact on overall power usage. Although amount of memory available is not the key constraint, exploitation of memory may lead operating system to ask your application to shut down or sacrifice cached data, slowing program execution. Optimize your application to minimize its power and memory footprint while considering performance during this process.
Top Insights
Best practices for selecting a software engineering partner
SecurityDigital TransformationDevOpsCloudMediaMy Intro to the Amazing Partnership Between the...
Experience DesignPerspectiveCommunicationsMediaTechnologyAdaptive and Intuitive Design: Disrupting Sports Broadcasting
Experience DesignSecurityMobilityDigital TransformationCloudBig Data & AnalyticsMediaLet’s Work Together
Related Content
Enterprise GenAI: The Time to Focus on High-ROI Use Cases is Now
In the relentless pursuit of digital transformation, enterprises are constantly seeking innovative avenues to maintain a competitive edge. Generative Artificial Intelligence (GenAI) stands out as one of the most promising frontiers in this quest. Unlike traditional AI, which primarily focuses on data analysis and interpretation, GenAI has the unique ability to generate new, original content, ideas, and solutions, making it an indispensable tool for businesses across various sectors.
Learn More
DevOps for Customer First Strategy
In the healthcare industry where medical insurance providers are competing with each other to acquire more and more customers, evaluating customers' application to assign a risk level is of prime importance. This helps in formulating the policies and the premium that a customer needs to pay. In order to work on this the insurance companies must share their data which is highly susceptible of being stolen and misused against them by their corporate rivals.
Learn More
Master the skills of QAOps
Recently, the IT world has been experiencing an explosion of different terms related to operations. The good old days—when the global order was defined around a rule of thumb and IT as separate from business—are gone, never to return. Dozens of ‘Ops’ crowded the sphere of software testing: starting with trendy DevOps.
Learn More
The rise of digital cognitive behavioral therapy
In today’s world, more and more people are struggling with depression, anxiety, addiction and a whole range of similar mental health problems. In most of the cases, people are not even aware of the fact that they are fighting with some kind of mental illness. Managing these problems is not an easy task and ignoring these problems calls for unwanted actions and severe consequences, but fortunately we have Cognitive behavioral therapy (CBT) to help people manage their problems by making simple changes in the way they think and behave.
Learn More
Virtual Health Assistant – Transforming Value Based Care
Digital virtual health assistant, also known as virtual health care assistants, are digital platforms that use artificial intelligence (AI) technology to assist individuals manage their health and wellness. These virtual assistants use natural language processing, machine learning and other AI powered technologies to provide a wide range of services.
Learn More
ML – federated learning – Application in life insurance industry
In the healthcare industry where medical insurance providers are competing with each other to acquire more and more customers, evaluating customers' application to assign a risk level is of prime importance. This helps in formulating the policies and the premium that a customer needs to pay. In order to work on this the insurance companies must share their data which is highly susceptible of being stolen and misused against them by their corporate rivals.
Learn More
FinGreen 2.0 : Exploring the role of climate fintech in creating a more sustainable future
There are a number of similar sounding terminologies that a user would come across when exploring a data catalog. In this section we look at the important terms and how they are related to each other.
Learn More
The future of frontend development: Emerging trends and technologies
Let’s start with the history of the Web. It was 1991 when the first web page went live and our lives were changed drastically. Today, millions of people spend hours surfing the internet, making money and investing money, gaining university degrees, listening to music, and watching movies, educational theories, videos, and more.
Learn More
Share this page:
-
-
-
-
URL copied!