After reviewing this mobile app development process what questions do

softwarebuck April 25, 2021 0 Comments



What is Agile Scrum Method in context of Mobile App Development?


Holistically, the role of Agile in mobile apps is well-renowned and Scrum isthe most commonly used sub domain of the agile methodology, which has quicklyexpanded to handling big, complicated projects that might have otherwise takena lot of time to finish.Used mostly by mobile application development services companies or softwarebased agencies, the scrum team break down their allotted work aka productbacklogs in actions, which they could cover within the two-week cycles, alsoknown as – “sprints.” By the completion of every sprint, the team is expectedto produce a working mobile app, which they continue to work upon and improve.Every sprint comes with a timeline that extends from 2 months to maximum 4months. And each of them have these following components to make the agilemobile app development more efficient –

1. Improves the Mobile App Quality


Since testing and QA is integrated at every sprint throughout the agile scrumprocess, the app is checked at all stages, ensuring that it is developedaccording to the set quality standard, thus sealing its future in terms ofhigh performance and acceptance.

3. Will the Agile Scrum Method actually work for your industry?


One of the rules of the agile scrum that we adhere to before even we startworking on an Agile approach is gauge if it’s necessary at all. Even thoughAgile Scrum framework is used by a number of industries globally, it is notfit for all the industry types.The development method works best for small size teams who handle projectswith unknown solutions, varying deliverables, and constant interaction withthe end users or clients, which makes it ideal for projects that deal inmarketing, software development, supply chain silos, or strategic planning.Processes like accounting, sales, and even the purchasing domain, which dealswith established processes or static deliverables won’t really benefit fromit.In the end, if you understand the benefits that agile scrum developmentmethodology will bring with it and you are prepared to change your workprocess around it, go ahead with it. But ensure that you have got yourstakeholders and team on board with the idea.

1. Why use agile scrum methodology?


Agile Scrum methodology is beneficial in the app development process if doneright and religiously. It helps in improving mobile app quality, increasesclient satisfaction, gives immediate ROI, promotes transparency, and so muchmore.

3. What is Scrum methodology in relation to Agile Project Management?


Scrum is a part of the agile project management methodology which includes ateam managed by a Scrum Master. The main job of a Scrum Master is to clearaway all obstacles to the team completing work.Here, the work is done in short cycles known as sprints, and a meeting isarranged including the whole team on a daily basis daily to discuss currenttasks and roadblocks that need clearing.Peeyush SinghChief Operating OfficerIn search for strategic sessions?.Let us understand your business thoroughly and help you strategies your digital product..

4. App Development


Planning remains an integral part of this phase in the mobile app developmentprocess. Before actual development/programming efforts start, you will haveto: * define the technical architecture, * pick a technology stack, and * define the development milestones.A typical mobile app project is made up of three integral parts: back-end/server technology, API(s) and the mobile app front-end.

User Experience Testing


A critical step in mobile app testing is to ensure that the finalimplementation matches the user experience created by the app design team.Visuals, workflow, and interactivity of your app are what will give your endusers first-hand impression of your app. Make sure that your app employsconsistent fonts, style treatments, color scheme, padding between data, icondesign, and navigation. Ensuring that your app matches the original designguidelines will have a direct impact on its user adoption!

Functional Testing


The accuracy of your mobile app functionality is critical to its success. It’sdifficult to predict every end user’s behavior and usage scenario.The functionality of your app should be tested by as many users to cover asmany potential testing conditions as possible. You might be surprised to catchbugs when two different users test the same feature but get varied outcomes.For example, both users can fill out the same form, but they both might enterdifferent data—which could lead to discovering a defect.The purpose of functional testing is to ensure that users can use your app’sfeatures and functionality without any issues. It can be broken down furtherinto system testing (the app working as a whole), and unit testing (individualfunctions of the app operating correctly).If you are building an app for iOS and Android mobile platforms, then yourfunctional testing should include a feature comparison between both versionsof your mobile app.

Performance Testing


There are many quantitative criteria to use for measuring the performance ofyour app. * How well is your app responding to the user requests? * How fast are the app’s screens loading? * Is your app draining the phone battery or causing memory leaks? * Does your app leverage network bandwidth efficiently? * Is the size of your app bigger than what it should be?Even when your app passes basic performance criteria, test the app, API, andbackend for load by simulating the maximum number of concurrent users. Yourapp should be able to handle the load and perform well even when usage spikes.

Device and Platform Testing


On average, new mobile devices enter the market every 12 months with newhardware, firmware, and design. Mobile operating systems are updated every fewmonths.Multiple mobile device manufacturers like Samsung, LG, HTC, Motorola use theAndroid platform, but they customize the platform for their mobile devices(since Android is open source). The devices come in different sizes andshapes.Compare that to Apple, which has a lot more controlled environment, since theycontrol both hardware and the OS. However, there are multiple iPhone & iPad(Apple iOS) devices out on the market.This is where testing during the mobile app development process differssignificantly from web app testing. You can get away by testing your web appjust on the Chrome browser in a Windows environment. But your mobile app hasto be tested on multiple mobile devices or device simulators to ensure smoothworking of your app for all users.The complexity of mobile app testing on all mobile devices, ongoing supportcosts, and headaches of mobile device management are primary reasons whycompanies tend to build their enterprise mobile apps for a single mobileplatform (and often provide mobile devices to their users). In our experience,most companies tend to develop their enterprise mobile app first with Apple’siOS mobile platform; only where needed they build an app for the Androidplatform.Testing is imperative to an app’s future success; it encompasses a substantialsection of our overall mobile app development process. Having a comprehensivemobile testing strategy is a must for delivering a quality mobile app.During the testing phase, there are many ways for distributing your appdevelopment builds to the testers. The most common approach with iOS apps isusing the Testflight and for Android apps via email or Over The Air (OTA)installs.* * *

After reviewing this mobile app development process, what questions do


you have about making your idea into a successful app?We’d love to hear from you. Leave your questions or comments below!Contact us if you would like to discuss your mobile app developmentinitiatives.By Team Invonto | Updated January 2, 2020AI in Quality Assurance: The Next Stage of Automation DisruptionIf we sit to analyze the mobile app development journey ever since agile cameinto picture, we will find that the ways of how apps are delivered havecompletely changed.Before the introduction of agile approach in mobile apps, there used to be amonthly or sometimes bi-monthly release. Ever since the approach has come intothe picture, app releases have taken a weekly, bi-weekly approach.To keep up with these frequent build releases, Continuous Testing was broughtinto existence and automation suits were built for sanity and regressiontesting. This new testing approach supported fast deliveries and even faster-paced testing cycles.Now, with the world moving in the direction of Digital transformation, theneed to anticipate market requirements in advance and developing a system thatis scalable and predictive enough for catering to the future trends is at itsclimax. Moving beyond the continuous testing approach is now inevitable.In the present situation, testing needs assistance for accelerating delivery.AI in Quality Assurance can help us reach there.In this article, we are going to look into the detailing of the role of AI inquality control. We will look into the different facets of AI in QualityAssurance: role of AI in quality management, the benefits of AI qualitycontrol, the popular AI Quality Assurance tools, and the challenges associatedwith the integration of AI in mobile app testing.Evolution of Quality Management MethodsRole of AI in Quality Assurance: Test Cases for Autonomous QABenefits of Using Artificial Intelligence in Testing & Quality ControlThe Six Levels of AI TestingThe Popular AI Testing Framework and PlatformsChallenges In Quality Assurance Processes and AI Combination

The Popular AI Testing Framework and Platforms


Although slow but Quality Assurance has been making entrance and prevalence inthe third wave of automotion with the help of AI-driven quality assuranceplatforms.Here are some of the top AI test automation tools operative in the markettodayIt makes use of intelligent algorithms for navigating software, predicting themany defects, and solving the challenges through the help of advanced datacorrelation. It also enables automating of test automation engines andprovides graphical analysis of test coverage and outcomes.The platform provides software’s deep analysis through machine learning anddelivers “app blueprints” models which apply cognitive generation. Theseblueprints hold the capability to develop multiple test cases in only a fewminutes. Appvance also comes with a Test Designer functionality that can becombined with screenshot comparison, data driven tests, and AJAX or DOM autocapturing.It makes use of machine learning for authoring, execution, and maintenance ofthe automated tests. It focuses on functional end-to-end and user interfacetesting. The platform continuously becomes smarter and the stability of itstest suites increases with more runs.It is one of the most commonly used AI-driven tools for continuous automatedtesting. The platform makes use of natural language testing processing forwriting quality auto tests. It also identifies relevant test cases for testrun and saves sudden test failures.

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