In the ever-evolving landscape of healthcare, the importance of immersive Training and augmented/virtual reality (AR/VR), its role in digital transformation, and the value it brings to the future of healthcare cannot be overstated. We have been fortunate to be at the forefront of creating immersive/XR products and Training experiences for leading medical device and pharma companies. Advancements in software and hardware have reduced the cost and time required to make these digital experiences, drive meaningful ROI, and improve education and how we care for patients.

In this 4-part series, We will outline the digital immersive lifecycle to maximize ROI and improve outcomes for everyone.

1) Internal product experience to educate sales staff on new products and features.
2) External sales and marketing experience to share with healthcare professionals.
3) Healthcare professional training and simulations for hospital/medical staff.
4) Patient-facing educational experiences, updates/maintenance/patient experiences.

Bloomberg Report: Apple’s Vision Pro on track to Launch in early January

PWC recently released new data that over a 1/3 of businesses are investing in VR and AR in the next 12 months. Add in the race to implement AI; these digital experiences help collect data and define new ways to use digital twins and immersive experiences that drive meaningful results. We look forward to sharing how to get started and where to implement emerging technologies to create influential employee and customer experiences.


In today’s digital world, customer data has become a goldmine for businesses striving for growth and success. Among various types of data, real-time customer data has emerged as a game-changer, playing a pivotal role in enhancing customers’ experiences. With its potential to provide invaluable insights into customers’ behavior and preferences, real-time data can be leveraged to create personalized experiences that leave lasting impressions.

In this blog post, we delve into the significance of collecting customer data and demonstrate how you can use this treasure trove to optimize your customers’ experiences and elevate your business.

Why is Collecting Real-Time Customer Data Essential?

Collecting real-time customer data provides an in-depth understanding of your customer’s preferences, habits, and expectations. This instant data offers a snapshot of what the customer is looking for at that moment, helping you adapt your offerings to meet those expectations.

With real-time data, businesses can personalize customer experiences based on current preferences and behavior. From product recommendations to tailored communications, data-driven personalization helps businesses resonate more deeply with their customers.

Real-time customer data informs timely and relevant marketing efforts. Businesses can respond immediately to changes in customer behavior, making their marketing campaigns more effective and responsive.

How Can You Leverage Real-Time Customer Data to Optimize Customer Experience?

By utilizing real-time customer data, you can offer personalized content, deals, and products that align with the customer’s current preferences. This could mean recommending a product based on the customer’s recent browsing history or sending a personalized email with relevant deals.

Real-time data can help customer support teams provide prompt and efficient service. Understanding a customer’s recent interactions with your business can help support agents proactively address issues, boosting customer satisfaction.

Real-time data can provide immediate feedback on your products or services. This information can be leveraged to make necessary adjustments, develop new features, or even create new products that better meet customer needs.

Use real-time data to optimize the user experience on your website or app. By understanding how customers are interacting with your platform in real-time, you can identify any hurdles they face and work to improve their navigation and overall experience.


In the digital transformation era, real-time customer data is the key to unlocking unparalleled customer experiences. Its potential for personalization, timely marketing, improved customer support, product development, and optimized user experience sets it apart as a powerful tool for businesses.

Collecting and leveraging real-time customer data may seem daunting, but the payoff is well worth the effort. Remember, a business that understands and caters to its customers’ real-time needs and expectations is more likely to stand out in the competitive market, earn customer loyalty, and enjoy long-term success. Start harnessing the power of real-time data today to transform your customers’ experiences and elevate your business.

Despite enduring nearly 50 recessions, the U.S. has continuously navigated its cyclical economy, demonstrating that economic downturns often serve as catalysts for growth. The key to this paradox lies in viewing a recession as an optimal time to invest in one’s business.

Invariably, customer responses during these periods are consistent; once conditions improve, the tide shifts rapidly, leaving unprepared businesses in its wake. As we respond to the 2020 recession, companies should take heed of lessons from the Great Recession, particularly the importance of tech and software investments as shields against the economic downturn.

Take, for instance, Microsoft, Apple, Netflix, and Mailchimp. These tech giants weathered respective economic storms by investing in their systems, setting themselves up to benefit from increased consumer demand in the post-recession period.

During recessions, companies must adapt to leaner operations. This could mean adopting streamlined systems to manage time-consuming tasks like onboarding, payroll, attendance, and employee management. Upgrading system software can trim operating budgets and enhance productivity across industries, from software to manufacturing.

Moreover, businesses should consider custom software solutions tailored to their industry, current goals, and resources. The economic downturn, characterized by slow growth periods, offers an ideal time to design, test, and implement such systems. The icing on the cake? Tech tends to be cheaper in a downturn, allowing businesses to secure low-cost subscriptions.

Furthermore, businesses can leverage the IRS Section 179 tax deduction during these times. This provision allows for the full cost of purchased or financed equipment or software to be deducted from that year’s gross income, up to $1,040,000. With the extension of the 100% Bonus Depreciation into 2020, costs exceeding the initial limit can also be covered. This serves as a stimulus for businesses to invest and sparks economic revival.

Ultimately, recessions, though challenging, offer opportunities for strategic investment. Companies maintaining momentum or boosting it by investing in technology tend to emerge stronger, better equipped to handle the promising prospects of a rejuvenated spending market. It’s a strategy rooted in lessons from previous downturns, offering a blueprint for success in a future economy. In the face of an economic downturn, businesses should not merely survive but use this time to invest, evolve, and prepare for the rebound.

Apple is making waves in the world of personal computing once again with the revolutionary Vision Pro Headset, as reported by Forbes. The tech giant’s groundbreaking technology is sure to transform our interaction with digital devices. Here’s how:

Apple’s Latest Innovation

Apple’s Vision Pro Headset is a pivotal technology that reinvents personal computing, creating an immersive experience that redefines user interaction. Harnessing the power of augmented reality (AR) and virtual reality (VR) it brings computing to a more intuitive and engaging level.

Redefining Personal Computing

Apple’s Vision Pro Headset aims to challenge traditional ways of interacting with computers. It eliminates the need for physical devices, creating a holographic user interface that one can navigate using hand gestures and voice commands. This visionary approach promises to create a seamless, immersive computing experience that is more user-friendly and efficient.

Innovative Technology

The cutting-edge technology behind the Vision Pro Headset uses advanced AR and VR capabilities to allow users to engage with a digital 3D workspace. The headset is equipped with spatial audio features, haptic feedback, and eye-tracking technology, which significantly enhances the interactive experience.

Future Implications

The Vision Pro Headset’s arrival heralds a new era in personal computing. By integrating AR and VR technology into daily computing tasks, Apple is paving the way for a future where digital and physical worlds merge.


Apple’s Vision Pro Headset is a testament to the company’s commitment to innovation. As it revolutionizes personal computing, it opens doors for exciting possibilities in technology and its applications. Stay tuned to this space to keep abreast of the exciting developments in the tech world.

Introduction: The rapid evolution of technology is transforming the way businesses operate, and Virtual Reality (VR) is at the forefront of this change. Virtual reality, once the domain of gamers and futurists, is increasingly making its way into the professional world. For business leaders and CIOs, it’s essential not to overlook this powerful tool in planning for the future workplace.

The Shift Towards Distributed Workforces: The ongoing global pandemic has accelerated the shift towards more distributed and remote workforces. This change presents an opportunity for the increased adoption of VR in the workplace. Virtual reality can bridge geographical gaps, enabling remote collaboration and communication that feels as if you’re in the same room with your colleagues.

Practical IT Considerations: For successful implementation, CIOs need to consider practical IT issues like the cost, security, infrastructure, and ownership related to VR technologies. These considerations are crucial for determining the feasibility and sustainability of VR adoption in a business environment.

Virtual Reality in Practice: Companies across different sectors are starting to see the benefits of VR. For example, it’s used in employee training, where VR can simulate different scenarios, making the learning experience more engaging and effective. In the design and architecture industries, VR allows professionals to visualize their designs in a three-dimensional space, providing a better perspective of the end product.

Conclusion: As we continue to navigate a world increasingly dependent on digital technology, it’s critical not to ignore the potential of virtual reality. Businesses that recognize the value of VR and incorporate it into their future workplace planning will be better positioned to thrive in the new digital era.

Generative AI, a technology that can produce content such as text, images, and code, is becoming a crucial tool in many workplaces. Tools like ChatGPT and Bing AI Chat have opened the floodgates for innovative ideas and experimentation, helping businesses become more productive and efficient​1​. The question then arises: how do we responsibly adopt this technology at work without falling into ethical dilemmas or infringing copyrights? Here are five methods that can guide organizations towards effective and responsible generative AI practice.

  1. Increasing Developer Productivity

Generative AI can help automate routine, repetitive tasks in coding, freeing up developers to focus on the more interesting and creative aspects of application building. Tools like GitHub Copilot and IDEs with built-in large language models can help automate tasks like writing code, generating unit tests, and even documenting codebases. But it’s crucial to monitor and assess AI-generated code to avoid potential issues like security vulnerabilities or performance bottlenecks​1​.

  1. Enhancing Low Code and No Code Environments

Low code and no code environments, which allow non-technical users to create applications, can be significantly enhanced with generative AI tools. These environments are highly constrained, reducing the chances of problematic integrations with AI tools. Still, it’s essential to ensure that AI-generated content is not presented directly to customers without an employee reviewing it first​1​.

  1. Improving Document and Data Understanding

Generative AI can help summarize and analyze documents, making it easier for organizations to understand complex data. However, as the AI models often try to complete sentences or paragraphs based on the query prompts, there can be instances of errors or “hallucinations”. Therefore, using generative AI in more constrained scenarios, where experts review the information, can be a safer approach​1​.

  1. Accelerating Business User Workflow

Generative AI can significantly enhance meeting productivity by creating summaries and recording action items, helping both attendees and those who missed the meeting stay informed. Tools like Microsoft Teams Premium, Dynamics 365 Copilot, and the ChatGPT app for Slack are examples of this application. The AI can also summarize and categorize customer feedback, making it easier to identify useful information and trends​1​.

  1. Tackling Writer’s Block and Sprucing Up Designs

Generative AI can also assist with brainstorming, copywriting, and creating designs. It can suggest what to write in customer emails, create SEO-tuned product descriptions, and even generate captions and alternative text for images. However, organizations need to have clear policies for reviewing and editing AI-generated content before it’s shared​1​.

Finding Your Own Uses

Generative AI can be beneficial in various areas, including customer support, retail, logistics, and legal services. It’s crucial to start with use cases that involve human review to spot and correct any errors or misinformation. It’s also important to understand and follow data usage policies of AI service providers to protect your organization’s data​1​.

Remember, the goal is not to replace people with AI, but to leverage it to make people more productive. This approach can help businesses benefit from the technology instead of automating their way into potential trouble​1​.

Azure Migrations are successful when you have the right strategy in place. In many cases, it can be overwhelming trying to figure out where to begin, what questions to ask, and how to implement them. While cloud migration services are unique—a strategy is always created in the same way.

Migrating to Azure is a significant undertaking for on-premise databases, VMware, and applications. However, many businesses make the switch without fully understanding what the potential pitfalls are.

If you’re new to building and deploying Azure applications, this article is here to help! Using this step-by-step guide, you will discover how to migrate your business to Azure successfully.

What is Azure Migration?

The Microsoft Azure cloud platform offers a wide variety of cloud services hosted in a network of data centers around the world. A wide range of these services allows organizations to design, develop, deploy, and manage their applications.

With Azure migration, organizations can optimize costs, secure assets, and achieve resilience. Operations and development teams can benefit from Azure-managed services by reducing operational overheads. For Azure migration to be successful, organizations should rely on tried-and-true approaches and strategies. With automated tools and guidance created specifically for migration projects, experts provide a structured step-by-step process for migrating workloads to Azure.

Migrating to Azure: Strategy, Assessment, and Planning

This Azure migration guide emphasizes that for it to become successful, it boils down to three key activities, such as a roadmap, an Azure migration assessment, and a step-by-step plan.


Migrating is a complex process that requires a thoughtful strategy that addresses all aspects. Take these factors into consideration when planning your strategy: 

The next step is to create a realistic timeline that allows for meaningful milestones to be achieved along the way. 


Can your applications run in a cloud environment? What benefits will the organization gain from the migration? No matter what, you should always ensure everyone is on the same page by informing all stakeholders and employees prior to the migration.

The following should be included in your assessment: 

With Microsoft’s Virtual Machine Readiness Assessment tool, you can assess the readiness of your infrastructure for virtual machines. During migration, it generates a report that shows which workloads can be moved and if there are any issues.


You will need to do the following during this phase:

In order to ensure that everyone involved in the process understands their role, it’s important to set clear expectations for stakeholders.

Taking a Step-by-Step Approach to Azure Migration

Do you have trouble migrating to the cloud? It is recommended by Microsoft that you follow a migration process that can help you migrate to Azure successfully and optimize your new environment.

The Azure migration phases will be discussed in more detail below.

Step 1: Planning

Any Azure migration project should be evaluated to determine whether the current infrastructure can be migrated. Following that, your migration strategy should be aligned with your business goals, objectives, and processes.

Are you interested in increasing scalability, for example? Is improved performance what you’re looking for? It’s time to take the next step after identifying your desired outcome. 

Step 2: Identifying Your Resources

In context, these are both time and material resources that will be necessary to complete the migration process. The following should be evaluated:

Answering these questions before you migrate to the cloud provides you with sufficient time and information to plan and execute a successful migration.

Step 3: Conducting an Infrastructure Assessment

Checking the status of your existing infrastructure is the third step in fulfilling your Azure migration checklist.

You will be better able to determine the changes needed before the migration if you take an inventory of your existing IT environment.

Step 4: Preparing a Migration Plan

The next step is to develop a detailed plan for executing the actual migration process once all the necessary resources have been identified. All of these steps are designed to ensure success at every stage—including creating deadlines, assigning tasks, and reviewing processes and procedures. 

In order to complete migration work on schedule and on budget, it is important to have a clear plan in place before starting any work.

Step 5: Monitoring and Testing  

During each stage of execution, it’s crucial to monitor the progress of the migration plan. When you deploy new Azure applications or services, it is important to thoroughly test everything before going live.

It is imperative to identify any potential issues ahead of launch or roll-out in order to resolve them as soon as possible. With this, you can also minimize downtime and data integrity loss.

Step 6: Re-evaluating and Updating Post-Migration  

In order to execute an effective Azure migration, all systems should be reviewed post-migration. It will be necessary to update the software from time to time. If needed, you can apply patches to newly migrated code.

The goal is to ensure that all systems function properly after migration and perform optimally in their new environment. 

Choose a Reliable Cloud Migration Service

It is a challenge to move your on-premises application code to a cloud data center. Our highly skilled engineers at Laminar Consulting Service have extensive experience migrating software to secure, stable, and new platforms. 

As part of the migration process, our team will eliminate any weaknesses in your existing platform so you can trust the integrity of your new system. As a partner, we’re fully aligned with your business needs and are 100% transparent with our customers. 

To discuss the Azure migration step-by-step further, contact us at 888-531-9995 at Laminar Consulting Service today!

Cloud computing enables users to store, process, and communicate information on the internet easily and securely. Users can work online and share their work with nominated groups, including line managers and department heads. One of the great things about this information sharing is the capability to transfer your business data from one service provider to another using cloud migration services.

Many people use cloud computing services without knowing it. For example, Gmail is a cloud-based email server, and Google Drive is a cloud-based data storage service where you can save family photos and backup files.

Types of Cloud Computing Services That Can Be Transferred Using Cloud Migration Services

There are three main types of cloud computing services, depending on your source:

1) Software as a service (SaaS)

2) Infrastructure as a service (IaaS

3) Platform as a service (PaaS) 


There’s no need to install software on your computer because you can access the software app online via a cloud service provider or vendor. The most common SaaS apps are web or mobile applications accessed from a web browser.

Users are responsible for all software-related processes and functions, while the vendor is responsible for hardware, including runtime, middleware, servers, storage, and networking.

SaaS examples of cloud computing include the following:


IaaS includes infrastructure components, amongst which are storage, networking, servers, virtualization, and cloud-based. The cloud user takes on the management responsibilities related to the operating system and apps. The vendor or service provider manages hard drives and hardware and also takes care of outages (downtime), bugs, and other hardware-related issues.

IaaS examples include the following:


A third-party cloud service provider (vendor) is responsible for the hardware and application software, while users are responsible for cloud application function and operation, as well as essential app data.

This type of cloud computing platform works well for software developers and programmers who need a dedicated space to work but need to share their work with department managers and business owners.

PaaS examples include the following:

Types of Cloud Computing

There are four types of cloud computing. They are:

1) Private clouds

2) Public clouds

3) Hybrid clouds

4) Multi-clouds

Private Clouds

They are closed cloud environments accessible to only a specific individual or dedicated group. The environment operates behind a firewall. There are many vendors who own data centers in the cloud. This enables individuals and businesses to “rent” space where they can build private clouds.

There are two main subtypes.

1) Managed Private Clouds – While customers still create their private clouds, the cloud computing service providers manage several functions on their behalf; for example, deployment, configuration, and management.

This type of cloud computing works well for those just starting out in business and who don’t yet have the capacity to create an IT department. It also fills a gap for established businesses that are having trouble finding suitably skilled and qualified IT staff.

2) Dedicated Private Clouds – A dedicated cloud is a private cloud within a private or public cloud. An example of a cloud within a cloud is when a company’s department (software programs development) has a dedicated private cloud that is within the company’s overarching private cloud.

It’s a good option for businesses that have so many departments that the cloud becomes a confusing mess. The separation of departments or even the separation of tasks for a startup business is much easier to manage and maintain. 

Public Clouds

Customers use the infrastructure provided by public cloud service providers to create their own environments. Public cloud providers include Google Cloud, Microsoft Azure, and Amazon Web Services (AWS).

Hybrid Clouds

Hybrid cloud computing involves single IT environments created from multiple environments; for example, a combination of public and private clouds or a virtual environment connected to a combination of public and private clouds.

The various environments are connected through local area networks (LAN), wide area networks (WAN), virtual private networks (VPN), and application programming interfaces (APIs).


As the name suggests, they consist of more than one cloud service from more than one cloud-based service vendor, and they can be public or private. You’re right if you think it sounds like a hybrid model because all hybrid clouds are multi-clouds. However, it’s not vice versa.

For a multi-cloud to change into a hybrid cloud, it needs to be connected by a type of integration or coordinated arrangement. Multi-clouds are becoming increasingly popular because they offer enhanced security and more space for data storage.

Benefits of Cloud Computing

Cloud computing has several benefits for all types of businesses, regardless of size and how long they’ve been in operation. The overall cost-effectiveness of cloud computing makes it ideal for people who have just opened their doors and small business operations.

The benefits include the following:

The Best Cloud Computing Services

In no particular order, five of the best cloud vendors include:

1) Amazon Web Services (AWS)

2) IBM Cloud

3) Google Cloud Platform

4) Microsoft Azure

5) Oracle Cloud

Easy Cloud Transfer With Cloud Migration Services

It may sound easy to do absolutely everything related to cloud computing on your own, and it is for some people. However, others can rely on third-party service providers such as Laminar Consulting.

Laminar Consulting provides professional cloud migration services, which is one thing fewer to worry about. Contact Laminar today by calling (888) 531 9995 for innovative cloud migration services!

As with the creation of any product, software development takes place over several phases or stages. The process is called the software development life cycle  (SDLC) and applies to all types of software, including custom application development services.

SLDC can be defined as a structured software development process that creates a framework for developers to design, create, and deliver the final product. The final product is high-quality software that perfectly meets the client’s requirements.

How Does The Software Development Cycle Work?

There isn’t a project in the world that starts with planning, so that’s where the cycle starts.

Phase 1: Requirement Collection And Analysis

Clients know what they want; the end picture. They approach software development companies with this idea in mind. This starts the planning stage, where the companies create groups that work with clients to nail down the software requirements. The groups create plans or roadmaps that reveal the extent of the projects and troubleshoot potential challenges.

It’s important to use as much detail as possible to avoid confusing ambiguity or duplication of tasks. The design plans also identify achievable milestones along the way. Detail also enables the teams to create realistic timeframes (broken into modules or units) and costs.

Phase 2: Design

Using the roadmap, the software development team creates a couple of documents that drill down further into the requirements to fill out the minute details.

The two documents contain details of the high-level design phase (HLD) and low-level design phase (LLD) that are part of the actual development phase.

1) Descriptions and names for modules.1) Modules’ functional logic.
2) Outline each module’s functionality.2) Database tables with type and size.
3) Interface relationship between modules.3) Details that create the complete framework.
4) Database tables with critical elements.4) Locates and resolves dependency issues.
5) Complete architecture diagrams with tech details.5) Lists of error messages.
6) Each module’s inputs and outputs.

Additional features of the software design process include code guidelines, tools, practices, and runtimes that clearly define the project’s pecs and goals.

Phase 3: Development

The development teams begin coding the software development project. The groups begin coding according to the predefined guidelines, including the programming language. They complete development and then send it to the next phase in the cycle, the testing phase.

Phase 4: Testing

The software is sent to the testing team, where it’s tested as a fully integrated product. The purpose is to ensure it meets all of the client’s requirements and to identify any bugs in the system. It’s sent back to the developers, who address the problems and then send it to the testing stage again.

This mini-cycle continues until the quality assurance testers are happy the product meets all of the project requirements.

Phase 5: Deployment

Once it’s passed the quality assurance checks, it’s ready for the deployment phase. Deployment is carried out according to the software deployment strategy.

Phase 6: Maintenance

Deployment isn’t the last phase of the development process. The maintenance phase is ongoing. It’s required to identify and fix bugs that may crop up, install upgrades as they become available, and add features to improve functioning and user-friendliness.

The Software Development Life Cycle Testing Models Improve Services

There are several types of testing models that help software developers improve the quality of their work and assist with ongoing maintenance. Testing models can be applied at any stage during the SDLC, which helps detect problems quickly so they can be fixed before they become exponentially worse.

Some testing models include the following:

Waterfall Model

The waterfall model is one of the oldest testing modules, but it appears to be making way for newer, more efficient models. Briefly, The waterfall model is a linear process; one phase must be completed before another can begin. It’s a rigid model that only allows for testing once the entire software project is complete.

This means problems are only really picked up at the end of development, and it can be a long, laborious, and expensive process to repair them.

Iterative And Incremental Model

In the iterative model, the project is divided into units, which can be divided into even smaller units if necessary. The units can be worked on simultaneously, and each unit undergoes its own testing process. If issues are identified quickly, they can be immediately addressed.

Briefly, the iterative process is a series of small waterfall cycles where the cycle is repeated until its optimally functional. Each version is based on the adjustments and lessons learned from the previous one. This is significantly more cost-efficient and less time-consuming than the waterfall model.

Agile Model

The agile approach to development is similar to the iterative model in that is project is divided into small units which are worked on independently. They also go through the cycle of testing and repair, where each version improves on the previous phases.

Spiral Model

The spiral planning model is known as a risk-driven model. It contains elements of one or several of the other testing methods, effectively adopting the best of each. The result is rapid prototyping and concurrency in the design and development processes.

Laminar’s Custom Application Development Services Use Phases To Provide High-Quality Software

Unlike the waterfall module, SDLC phases don’t have to follow the sequential model or be inflexible. You can go back to any software development steps if you need to adjust or adapt the plan to accommodate unanticipated events that disrupt or derail the development process.Laminar Consulting ensures each step of our process passes even the most rigid quality assurance test. If you need custom mobile applications, get in touch with Laminar at (888) 531-9995 now!

All types of software development testing, especially mobile app development testing, are essential if business owners want their products or services to be competitive in the online market. Releasing software with bugs and broken links, has poor usability, and isn’t cross-browser compatible can be a major failure.

The trouble is that there are over 50 types of software testing techniques. Some kinds of tests overlap, making it even more difficult to tell which tests are more important than others.

Testing Software Projects and Custom Application Development Services

Here’s a look at 16 of the most indispensable software development tests to ensure your software’s efficiency before it joins the other millions of digital products and specialized tools on the market.

1. Functional Tests

Functional testing is designed to verify that the result of an action is exactly as expected. Basically, the software does what it’s meant to do. Functional tests comprise several subset tests.

2. Non-Functional Tests

Non-functional testing is designed to verify that the behind-the-scenes framework doesn’t have any performance issues that affect the software’s function; for example, testing reveals if the software application is reliable. Non-functional testing approaches also comprise several subset tests.

3. Unit Tests

Unit testing determines the functioning of independent chunks of code to ensure there are no bugs or faults that will affect the overall piece of software.

4. Accessibility Tests

Accessibility testing ensures that your desktop software and mobile app can be easily used by people with various disabilities, including hearing and vision impairment (for example, increased font size). The results must be replicated outside of the usual testing environments.

5. Integration Tests

Integration testing looks at how well units function together as a whole. The function of one unit is dependent on the function of another. This test reveals if mistakes in the development process have created faults that must be fixed.

6. Load Tests

Load testing determines the software’s capability to maintain its response time even when it’s loaded to its maximum number of users accessing the program simultaneously. The goal is for the response time to remain the same or be within a second or two, regardless of the number of users.

7. End-to-End Tests

End-to-end testing tells development teams that the entire software product provides the required high-quality user experience expected. Essentially, it tests the flow of the website or app that enables users to follow a clearly defined path to their goal. Testing teams also pay attention to client-facing and back-end functioning.

8. Acceptance Tests

Acceptance testing determines if the system delivers a seamless performance outside of the production environment during a real-time trial. Business owners or clients test the system to see if it continues to meet their business requirements in a number of real-life scenarios. If they’re happy with the results of the user acceptance testing technique, the product can be polished and delivered.

9. Scalability Tests/Stress Tests

Scalability testing (also known as stress testing) looks to see at which point in the software testing process the app crashes when it’s loaded with more than the maximum number of users. Look for a big difference in response times; for example, the difference between a three-second response time for 2000 users and a 45-second response time for 3500 users. The crash is likely to occur soon afterward; for example, at 4100 users.

10. Performance Tests

Performance testing looks at the system’s performance on multiple levels during various challenges. For example, reliability, speed, scalability, and responsiveness when processing a vast number of requests or storing/managing huge amounts of data. Performance tests include:

11. Smoke Tests

Smoke testing is when the functioning of the whole system is tested to spot-check for any faults or to give the project the green light. It’s to see if the software performs as it’s supposed to. It’s a quick test, so many developers use it as a measure to determine if further testing is required.

12. Black Box Tests

Black box testing is a simple enough process. The software undergoes a software testing procedure without any knowledge of the internal workings, including structure, design, and coding. The goal is to determine the input and output of test objects.

13. Grey Box Tests

Grey box testing combines elements of white-box and black-box testing techniques, which gives users partial knowledge of the internal framework and coding.

14. White Box Tests

White box testing is when the user knows the internal structure and coding. It’s a software testing technique designed to find gaps and loopholes in the design, so they can be plugged.

15. Exploratory Tests

Exploratory testing is conducted periodically to ensure all the systems work properly. It’s a good way to pick up bugs and other faults before the problem increases as more and more features are added to the code. It’s a good idea for testers to go back to a previous version to check that repairs are still in place and the bug hasn’t popped up elsewhere.

16. Browser Compatibility Tests

Browser compatibility testing is exactly as it sounds. The application is tested on all browsers (Google Chrome, Internet Explorer, and Apple Safari) and operating systems (Microsoft Windows, Android, and Linux). It’s one of the more basic tests to determine if all the browser-related functional requirements have been met. 

Custom Application Development Services Include Testing

All types of software must be tested, regardless of whether it’s for desktops or mobile devices. Only after rigorous testing can application development companies release their products. Laminar Consulting’s custom mobile a

pps are tested to ensure all the bugs are resolved, and every aspect of the app is working efficiently.Get in touch with our Laminar experts at (888) 531-9995 to find out how many ways a custom app can boost your business!

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