How can automation improve mobile app maintenance?

Automation in mobile app maintenance can improve efficiency and reliability by automating tasks like continuous integration, error monitoring, performance tracking, database maintenance, security scanning, user feedback analysis, and resource optimization. This reduces manual effort, ensures faster issue detection and resolution, and enhances overall app quality and security.

Mobile App maintenance automation is applying tools, custom scripts, and processes to tasks in order to free-up resources for other work and increasing overall team productivity. Typically mundane repetitive development tasks, or monitoring of urgent events are the best candidate tasks for automation.

Automating the tasks can save you money on developments and maintenance costs in the long run for any app. By automating the repetitive task, developers can free up their time for more strategic and creative tasks there by contributing to new innovation. One major thing in mobile app maintenance is the monitoring tool, which can monitor your apps performance in real time by tracking metrics like crashes, errors and user engagements.

Automation in mobile app maintenance involves using tools, scripts, or processes to streamline and simplify the upkeep of mobile applications. This includes tasks such as testing, debugging, updating, and monitoring the app to ensure its functionality, performance, and security.

Automation in mobile app maintenance refers to the use of tools, scripts, and processes to streamline and optimize repetitive tasks involved in maintaining a mobile application, such as testing, deployment, monitoring, error tracking, and performance analysis, with the goal of improving efficiency, reducing manual efforts, and ensuring the app's reliability and quality over time.

Can't Automate Everything ?? Manual testing remains indispensable due to its ability to address subjective aspects, explore nuances in user experience, handle edge cases, and adapt swiftly to changing requirements. While automation is valuable for efficiency, the human touch in manual testing ensures a more holistic approach to quality assurance ????

Just a point to add, automation can improve the amount of tests and the time of tests being run without human intervention but it is not a replacement of having a Quality Assurance Engineer still validate that the app is behaving normally. If anything they should be the one creating the tests for functional testing. Human error can also happen when tests themselves are being created and those tests need to also be validated.

CI should be part of a project as soon as there is more than 1 developer in the team. QA should not test what can be implemented on the CI. It is error prone. With CI, we quickly get feedbacks on any new bugs/wrong behaviors. It ensures quality to the production app so users won't find issues for you, which is bad for business.

You can leverage Azure DevOps for continuous integration and delivery (CI/CD) pipelines, using tools like App Center Test for mobile app testing automation. Azure DevOps allows you to set up automated build and release pipelines, ensuring your mobile app is tested and deployed efficiently. App Center Test, supports automated UI testing on real devices and emulators, helping you catch bugs and ensure the app functions correctly across different platforms. You can integrate these tests into your CI/CD pipeline for automation. Azure offers cloud-based testing services, enabling you to run tests on scalable and diverse set of devices in the cloud. This helps comprehensive test coverage and faster feedback during the development process.

Mobile Automation will add a great value to the overall delivery of the product. Running 100s -1000 test cases manually each release will be hectic. So the best way to cover all the In scope functionalities for the release will be doing automation and doing it in the right way. 2 cents on the execution part: Rather than setting up your own Mobile Device lab, look for the Cloud Device providers like #BrowserStack #LambdaTest etc for execution, This will help in enhancing the device coverage of the regression.

I believe for some steps of deployment it's a must to have automation as a part of the release process, it is necessary to avoid repetitive and error-prone tasks before a product release. Take Android development as an example: generating baseline profiles to improve startup times and user experience is a crucial final step before release. If releases are weekly, this means running a script and creating a last-minute Pull Request (PR) every week, usually on a Friday night. This repetitive task, required for each release, can be quite burdensome for the team involved.

Automation in mobile app deployment can streamline repetitive tasks, enhance consistency, and reduce errors. Automated processes for code integration, testing, and deployment enable faster and more reliable releases, ultimately improving efficiency and user experience.

Le déploiement est un concept de fabrication. Quand la conception est finie, une étape où l'humain est nécessaire, la fabrication entre en jeu. Celle-ci est une étape "machine" linéaire et répétitive. C'est comme dans une usine de biscuits. L'idéation et la conception sont l'?uvre des ingénieurs, tandis que la fabrication est exécutée par des machines sur une cha?ne de montage. Quand la fabrication commence, la cha?ne doit travailler parfaitement, avec peu de défauts de fabrication. L'automatisation par machines est une technique pour minimiser ce risque. Ce principe s'applique aussi en développement logiciel : automatiser le travail linéaire et répétitif pour diminuer les défauts.

In my perspective, automation plays a crucial role in enhancing mobile app deployment. It speeds up the release process, reduces errors, and maintains a stable environment. Continuous integration, testing, and rollback features contribute to a smoother deployment. Automation also optimizes resources and improves security checks, making the entire process more efficient. Overall, it's a vital element in delivering a better and more reliable mobile app experience.

Automated deployment is like having a production line that producing chocolate ?? packs where each stage is responsible for a task as example validating the chocolate quality by checking if it has a strange items in it, or by wrapping the chocolate as the last stage. The benefits of doing these is that to make sure quality, consistency, speed of production are met with minimal efforts required.

Automation can play a significant role in improving mobile app performance for example, Automation tools can be used to conduct performance testing, simulating various user loads and scenarios. These tools can measure key performance metrics such as response times, resource utilization, network latency, and scalability. By automating performance testing, developers can identify performance bottlenecks, memory leaks, and other issues that impact the app's responsiveness and efficiency.

Automation significantly improves mobile app performance by implementing automated performance testing in continuous integration, conducting load testing to assess scalability, detecting and addressing memory leaks, automating code profiling for optimization, setting up continuous performance monitoring, dynamically scaling resources based on demand, implementing efficient caching strategies, creating automated scripts for user scenario simulations, simulating various network conditions automatically, continuously monitoring performance in production, configuring automated alerts, and integrating optimization tools to analyze and improve code, ultimately ensuring a seamless and responsive user experience.

Automation helps in simulating use cases which would lead to performance issues and this can be used to measure the performance of app in multiple devices. Like for example memory usage, UI frame drop for a particular use case.

To automate testing can be used these approaches and best practices: - Continuous Integration and Continuous Deployment - Monitoring with crashlytics and analytics - Automated Code Reviews

We can simulate app performance with multiple types of network speeds like 2G,3G,LTE & 5G to understand the app behaviour. Can integrate few 3rd party metric tools like Amplitude to understand the friction points when customers/tester using the app. Over a period of time this will give you the overall performance of the app and can give you the chance of identifying slow rendering pages. Teams can focus on improving of those particular friction points.

How we can automation improve mobile app feedback? - Efficient Feedback Collection - Incentivization of Feedback - Aggregation and Organization - Natural Language Processing (NLP) and Sentiment Analysis - Automated Responses and Follow-ups - Incorporation into Development Cycle - User-Centric Approach - Holistic View of User Experience - Quality, Functionality, and Usability Improvement - Enhanced User Engagement, Loyalty, and Advocacy - Clear Strategy and Skilled Team

Automation streamlines mobile app feedback by efficiently collecting, organizing, and analyzing user input, utilizing tools like NLP for sentiment analysis, enabling automated responses, integrating feedback into development cycles, and identifying trends for informed decision-making, enhancing user experiences and app quality.

Automation makes collecting and acting on mobile app feedback a snap. It's like a friendly ear, constantly tuned into what users are saying. It can automatically ask for feedback, gather responses from various channels, and use natural language processing to understand the overall sentiment. This helps you quickly identify what users love or what needs fixing. It can even respond to users, making them feel heard and valued. With automation, you're not just collecting feedback; you're actively engaging with it, making informed decisions to enhance your app's appeal and functionality. It turns feedback into a powerful tool for continuous improvement, ensuring your app stays relevant and loved by users.

Automation can enhance mobile app feedback by implementing automated feedback collection mechanisms, such as in-app surveys or feedback prompts, conducting sentiment analysis on user reviews and social media mentions, automating the aggregation and analysis of feedback data, and providing actionable insights to development teams in real-time, thereby fostering continuous improvement based on user input.

Automation tools can be utilized to collect feedback from app users automatically. This can include in-app feedback forms, surveys, or prompts that are triggered at specific events or user interactions. By automating the feedback collection process, developers can gather valuable insights and opinions from a large number of users efficiently.

We have missed some critical points around mobile app architecture: 1. Build with the unit test framework 2. Include scripts to load the data 3. Ensure that rollback scripts are available with each release 4. Automated monitoring and error logging system 5. Deployment using scalability on-demand systems

Right now, building automation still a heck of manual work. Hopefully the current way of AI assistants can help to make the process easier.