Category: Custom software

Concerned about app development costs? Here’s all you need to know!

There will be more people with access to smartphones in coming years than with access to running water! Well, then there’s no questioning the fact that app development has become the need of the hour to capture the huge rapidly growing market. Investing in app development is valuable to establish yourself as an authority in your industry. As much as you would like to build an app, you might have many queries. One most pertinent question is: How much does it cost to create an app? This will be answered in detail in this blog. 

How much does it cost to create an app?

Some people think that creating an app requires a gigantic investment and that the cost of app development is an expensive affair. The truth is, not all types of apps require a princely budget. There is a lot of thought and work that goes into building an app from scratch, so the cost may vary. But looking into what is involved will help us make a fair estimate.

It is important to understand that the cost to build an app depends on various factors like the type of app, the platform you choose, the design, and the number of pages required. For instance, an app that doesn’t require back-end features like an email subscription, calendar, or social login, and API integration will not need a huge budget. On the other hand, multi-lingual support, custom features, and real-time updates will need resources in terms of the development budget. Each app is unique and the cost of making an app is based on the time and effort required to build an app. 

HackerNoon rates Fingent in the Top 20 when it comes to Mobile App Development Services. Our mobile team has years of experience working with a range of cost-effective mobile application projects. We’ve helped some of the world’s biggest companies create applications to enhance user experience and integrate new-age technologies. 

What Are Some Major Factors That Affect the Cost to Build an App?

Let’s look at some of the specifics that we need to consider, that may affect the cost of building an app. 

1. Functionalities, Scope, And Features of the App

The cost of building an app is going to depend on what you are trying to accomplish. Determining that will give a measure of clarity to the scope of the project. If the business is looking forward to a broader scope and returns from the app, it will have to be extensively developed with many functionalities. However, if the purpose of an app is to just establish a mobile presence and develop another channel to connect with end-users, then a limited feature app would suffice. When the goal and overall business purpose is clear to the development team, they will be able to accurately estimate the cost of developing an app.

Read more: Mobile App Development: 4 Tips To Consider

2. Number of In-App Pages

Another vital factor that determines the cost of building an app is the number of screens in the app. The more the number of screens, the more extensive the work required from the designers and UX experts. More screens would also mean higher interlinking of pages through the app, which requires adjustment of conditions so that users can easily access any particular in-app page. Such complex apps demand more time and effort from app designers and developers.

3. Platforms and Devices

The complete cost of developing a native app for a specific platform is different from developing a hybrid app that runs on multiple platforms and devices. Further, the app development cost also depends on the type of device the app is developed for. 

Making an app for devices running on Android, iOS, Windows, or Blackberry needs different sets of integration for each type of device. Additionally, supporting different generations of the same device can be another factor that increases the cost of building an app. iOS apps will need to be built to support the latest as well as previous iOS versions. The complexity of the Android market adds to the difficulty in determining a single standard cost of developing an Android app.

Read more: White Paper- Choosing The Right Mobile App Development Approach For Your Business

4. Type of App Development Team

Based on the complexity of the project, the app development team may comprise a project manager, designer(s), developer(s), and quality assurance engineer(s). You also have the choice of opting for a basic team with a backend developer, admin panel designer, Android or iOS developer.

5. Elements of App features

• Third-party integrations: Mobile apps require third-party libraries, frameworks, and services. 
• Backend development: Backend implements the app’s business logic enabling the exchange of data between the mobile and database.
• Hardware components: Identifying the right approach for communication between hardware and software components will make a difference in the cost of building an app. 

6. Database

Apps that allow end-users to upload videos, photos, and submit comments or reviews take more time in development. This would increase the complexity of an app because the user’s information must be stored and made available for future use. Obviously then, the app development cost and time for database-driven apps would be more.

7. Post-launch Expenses

The total cost of creating an app includes the money spent on actual programming as well as post-launch maintenance and updates like cloud hosting, backend server maintenance, and app marketing.

8. App Type

Choosing the right type of application for the project will have a massive impact on the overall cost to create an app. Apps can be categorized as:

• Web Apps: Web apps use a responsive design for smooth user experience across various screen sizes and operating systems.
• Native Apps: Native apps could be more expensive because they are optimized for high performance on a specific platform.
• Hybrid/Cross-platform Apps: This approach is best suited for the needs of a large audience across different platforms. The development and maintenance costs of this approach are lower when compared to the other approaches.

Read more: Hybrid Mobile App Development: When and Why To Choose For Your Business?

9. License and Legalities

Businesses that want to protect app features that could be knocked off by competitors may want to obtain a Patent, Copyright, or Trademark which increases the cost of building an app.

10. Support and Maintenance

Adding new features and refining existing features of the app will cost you. This is unavoidable because technology is constantly changing, and new updates will have to be made for your app to function seamlessly. 

Are you ready?

As of August 2020, there are 3.50 billion smartphone users in the world. As mentioned in the outset, Cisco Visual Networking Index Global Mobile Data Traffic Forecast says that there will be more people with access to smartphones in coming years than with access to running water. Additionally, App Annie forecasts that consumers will be willing to spend a staggering $157 billion on mobile apps by 2022, an increase of 92% from 2017. Now, these numbers should leave you with no doubt that you must make full advantage of this trend by building an app for your business. 

However, having a great idea for an app is one thing but making it available to end-users is another. This guide detailed the cost of making an app, with varying features, technologies, platforms, and more for you to make an informed decision, but if you have any questions or you want to get started on building that app, give us a call. 

Fingent recognized as the Top PHP Development company by the TechRivewer.

Immense expertise, constant innovative thinking, and deep market understanding make the perfect blend to remarkable excellency. Proclaiming these qualities, Fingent yet again outruns its way to rank the Top PHP Development Company in 2020.

PHP is the most common programming language used in web development today. Be it the simplest applications, or the most advanced ones like Drupal, vBulletin, MediaWiki, or be it the most popular WordPress. Everything works on PHP today. And so it becomes imperative for businesses to find and rely on the right PHP development providers for best services.

Research and review hubs like TechReviewer makes it convenient for businesses to select from a vast pool of development companies. Analyzing through their capabilities, success stories, and client reviews, TechReviewer helps businesses connect with the right technology partners by compiling lists of the leading software outsourcing companies.

Related Reading: Find out how Fingent created Mohawk 360, an integrated day camp management platform, utilizing PHP.

Fingent, a web development company that has proved its worth by delivering upscale web solutions to clients across the globe, is recognized by the brand-new research & analytics agency, TechReviewer.co, as the Top PHP Development Company in 2020.

With extensive experience in delivering full-cycle PHP development services along with deep technology expertise, enables Fingent to hit the lists of leading PHP development firms, making it the most reliable, experienced and reasonable company to outsource software development.

Related Reading: Check out our case study to know how Fingent helped develop an Appointment Management System using PHP expertise.

Established in 2003, Fingent strives to solve complex business challenges with customized software solutions. With an active client base across 14 countries and expertise in over 20+ industries, Fingent is a front runner in catering PHP development services. Our research and development team is dedicated to analyzing products based on market trends and targeted audiences. This enables us to provide our clients with an extra edge that helps them sustain and relish the cut-throat market environment.

“We help our clients understand technology in a way that they can leverage the best tools to provide unique and innovative customer experiences. For us, it is not just providing software solutions to our clients, but to help them reshape and transform with technology.”

              – Dileep Jacob, Senior Vice President, Global Operations, Fingent.

Being featured among the leading PHP development companies is indeed a great honor for us. We take this opportunity to thank our clients and partners who have placed immense trust in our approaches and services. We will continue to justify the trust with utmost dedication, expertise, and innovative business solutions.

Learn how we can help transform your business for a better future. Get in touch with our experts today to know more about our services, expertise, and technologies.

Also, read more on why Fingent Stamps its authority as a leading CodeIgniter developer of 2020.

How is AI poised to transform our future?

“Artificial Intelligence is the new electricity. It has the potential to transform every industry and create huge economic value”, says Chinese-English scientist and entrepreneur, Andrew Ng. The impact of artificial intelligence on our daily lives cannot be overlooked. From smartphones to ride-sharing apps, smart home devices, Google search, and Social media- there is hardly any industry or sector that is left untouched by AI. 

There has been a huge surge in patenting of artificial intelligence in the last few years. PwC estimates that by 2030, AI would contribute a whopping $15.7 trillion to the global GDP. Analysis by the World Intellectual Property Organization (WIPO) states that the number of AI-related patent applications rose from 18,995 in 2013 to 55,660 in 2017. WIPO Director-General, Francis Gurry says that “We can expect a very significant number of new AI-based products, applications, and techniques that will alter our daily lives and also shape future human interaction with the machines we created”.

Industries such as healthcare, automotive, and financial services were the fastest to adopt AI.

Following are a few key domains that would be impacted most by AI in the coming years:

Related Reading: How AI Integration Helps Maximize Your Business ROI

AI will transform these areas in the coming years:

1. Transport

The general public would widely adopt self-driving vehicles. Apart from cars, self-driving vehicles would also include delivery trucks, autonomous delivery drones, and personal robots. Commutes may shift towards an on-demand approach like the Uber-style “cars as a service approach”. Commute-time would be viewed as a time to relax or just another way to work productively. People would live further away from their homes, reducing the need for parking space. This would change the face of modern cities. 

However, enhanced connectivity, real-time tracking, traffic gauging, route calculations, peer-to-peer ride-sharing, and self-driving cars would be impossible without personal user data. This calls for the need to implement more stringent measures to secure the data and privacy of citizens.

2. Home/ service robots

Robots have already entered our homes in the past fifteen years. Recent advances in mechanical and AI technologies substantiate the increasing safety and reliability of using home robots. In the foreseeable future, we can expect special-purpose robots to deliver packages to our doors, clean offices and enhance security. 

We are already familiar with the vacuum cleaning robot – Roomba, which has gained its place in millions of homes across the world. The AI capabilities of these kinds of robots are being increased rapidly with drastic improvements in the processing power and RAM capacity of low cost embedded processors. Low cost and safe robot arms are being used in research labs all over the world. Further advances enabled by deep learning will enable us to better interact with robots.

3. Healthcare

Healthcare is a promising domain for the use of AI technologies. AI-based applications have started gaining the trust of doctors, nurses, and patients. By revising the policies and other commercial regulations regarding the development and usage of such applications, AI can be used to improve health outcomes and quality of life for millions of people in the coming years. Patient monitoring, clinical decision support, remote patient monitoring, automated assists to perform surgeries, and healthcare management systems are some of the potential applications of AI in healthcare. 

4. Education

AI has the potential to enhance education at all levels, by providing personalization at scale. While computer learning will not replace human teachers, Massive open online courses (MOOCs) will help students learn at their own pace with techniques that work for them. AI technologies such as Natural language processing, machine learning, and crowdsourcing are giving an impetus to online learning. If these technologies can be meaningfully integrated with face-to-face learning, AI will find more applications in our classrooms. 

5. Entertainment

AI has already transformed this domain to a considerable extent. AI-driven entertainment is gaining huge traction and response from the masses with overwhelming enthusiasm. AI-enabled entertainment will become more interactive, personalized and engaging by 2030. However, the extent to which technology replaces or enhances sociability is debatable. More research is required to understand how to leverage these attributes of AI for the benefit of society.  

Related Reading: Building Incredible Mobile Experiences by Combining AR and AI

Concerns about AI

Advances in AI have already impacted our lives. However, you may also have heard of the dire predictions regarding AI made by some of the brightest minds such as the late scientist Stephen Hawking and Elon Musk (Tesla and SpaceX chief). Pew Research Centre surveyed some 979 technology experts to find out whether advancing AI and related technology would help or harm humanity. 63% of the respondents were hopeful of a better future in 2030. Many of them said that all would go well only if the concerned authorities paid close attention to how these tools, platforms, and networks are engineered, distributed and updated. 

Following were the concerns that were mentioned most often:

1. Individuals would lose control over their lives due to the use of AI
2. Surveillance and data systems that favor efficiency over human betterment would be dangerous.
3. AI would cause millions of people to lose their jobs leading to economic and social upheaval.
4. As people continue to depend on AI, their cognitive, social and survival skills would be diminished. 
5. Cybercrime, cyberwarfare and the possibility of essential organizations being endangered by weaponized information would open new facets of vulnerabilities. 

Overcoming the concerns

Following are a few solutions to take positive advantages of AI:

1. The global population should join hands and create cohesive approaches in tackling AI’s challenges.
2. The development, policies, regulation, and certification of autonomous systems should undergo essential transformations to ensure that any kind of AI development would be directed towards the common good.
3. Corporate and government organizations should shift their priorities towards the global advancement of humanity rather than profits and nationalism. AI advances should be aimed at human augmentation, regardless of economic class. 

Nicholas Beale rightly said, “AI done right will empower.” As artificial intelligence continues to be embedded in most human endeavors, let us make broad changes for the better. Let us be more thoughtful about how these technologies are implemented constructively.   

If you would like to know more about Fingent’s development and implementation approach on AI, give us a call. 

How DevOps Uses Test Automation Tools to Accelerate Software Development

The goal of DevOps is to build faster, effective, and responsive applications by bringing together the development team and the operations team. It is a cultural shift to remove all barriers between Dev and Ops and provide shorter as well as frequent software deliveries, thus enabling organizations to respond in a much agile manner with respect to the constantly changing customer demands and expectations. 

In a nutshell, DevOps via effective collaboration, communication, streamlined delivery, and automation of processes will accelerate software development in the following key ways:

• Faster time to market
• Reduces risks of failures in each release
• Enhances error fixing and recovery time
• Improves the checking process efficiency
• Speeds up the rate of change
• Allows managers to make improved and effective trade-off decisions
• Enables rapid and continuous feedback
• Offers flawless continuity throughout the Software Development Lifecycle

Testing in DevOps starts from the very beginning of application development and hence it is important to make sure that the development team and the operations team work closely with each other to ensure continuous integration and prompt delivery by continuous testing and monitoring. 

Related Reading: Test Automation Trends to Accelerate Development Cycles in 2020

Automation Testing in a DevOps Environment

DevOps is categorized into the following 4 processes:

1. Continuous Integration
2. Continuous Delivery
3. Continuous Testing
4. Continuous Monitoring

The testing teams require to align their test design, automation, as well as test case development along with DevOps to ensure that the frequent changes made have not affected the final product. 

Unlike the traditional approach, automation testing in a DevOps environment requires moving test automation scripts to a control tool which is of an enterprise version. This system of centralized enterprise-level testing results in an integrated test suite that offers centralized execution and reporting. 

Let us walk through the different ways in which DevOps makes use of test automation tools:

How DevOps Uses Test Automation to Speed Up Software Development and Delivery 

DevOps testing lays its core focus on test automation within the application’s development pipeline to ensure that by the time the application is deployable, it is done without any further confusion. Some of the popular test automation tools of DevOps are Selenium and Water.

Here is a quick rundown on the popular DevOps tools:

1. New Relic– New Relic offers an end to end visibility along with improved customer experience and dynamic infrastructure. It also helps the DevOps team to save their time spent in monitoring applications.

2. Jenkins – Jenkins is a DevOps automation tool used for checking the execution of redundant tasks. Jenkins is an open-source CI/CD (Continuous Integration/ Continuous Delivery) server that allows users to automate various phases involved in the application delivery pipeline.

3. Splunk – This automation tool is used to access machine data. It offers operational effectiveness to both the development as well as the operations teams in DevOps. It offers enterprises the ability to be more productive, competitive, secure, and reliable.

4. Selenium – Being the most popular automation testing tool for DevOps, Selenium is designed to meet the specific needs of a wide range of different browsers. It makes use of lesser resources and supports parallel test execution which reduces the overall time required for the testing process. The test cases prepared can be run on any operating system as well.

Cucumber, Jasmine, JUnit, and JMeter are other popular test automation tools used by DevOps to accelerate application development and deployment. 

Related Reading: How To Measure The Effectiveness Of Your DevOps Program

Future of Test Automation in DevOps: Enhancing Application Development

With the evolution of continuous testing, DevOps has enhanced its test automation strategies where it is supported by practices such as a test-case design that is risk-based, stateful test data management, service virtualization, as well as seamless integration into the DevOps set of test automation tools. 

To get the best out of test automation and to learn how to incorporate test automation tools using DevOps to accelerate your application development and deployment, talk to our experts today.

Why Clutch Ranks Fingent As The Top Software Development Company In Australia?

Over the past 16 years, Fingent has partnered with clients across 4 continents and collaborated with start-up, mid-market, and large enterprises to solve business challenges with the latest custom software development practices. Our core values make us highly attentive to society, peers, family & self, and above all, customers. We are grateful that this client focus is recognized in reviews on Clutch and has enabled us to achieve the position of the leading software developer in Australia.

Clutch is a B2B rating and review platform with thousands of company profiles. Clutch carefully analyzes and evaluates industry data, brand reputation, and most importantly, client testimonials to craft authentic descriptions of development companies and their services. When a company is facing a business challenge, Clutch stands as a directory to browse through and find the right solution provider. Clutch connects businesses with leading performers, who receive industry recognition for their excellent services. When it comes to software development, Fingent ranks as the Top Software Developer in Australia. Here’s a peek into Clutch’s leader matrix, where Fingent stands top on the charts of Market Leaders in comparison to the competing companies.

We are extremely thankful to the clients who took the time to share their experiences about Fingent solutions and services on Clutch. Most recently, Sapra & Navarra LLP left us a review on our ongoing development services for their law firm. We were hired by Sapra & Navarra LLP to build a web-based AI machine learning program. Besides receiving 5.0 stars in the Clutch evaluation categories of cost, scheduling, quality, and willingness to refer, Sapra & Navarra LLP appreciated our accessibility and efforts to prioritize being available to answer any questions or concerns. They also applauded our organization, including our robust agendas of maintaining transparency through meetings and conference calls. 

Check out a summary of the perfect 5.0 review below! 

Once again, we are very grateful to our clients for sharing their positive feedback on Clutch. It inspires us to continue delivering unique, budget-friendly solutions on time. 

“We are excited to have been chosen as a top ASP.NET developer and NodeJS developer for 2020 by Clutch.” 

– Stephen Cummings, Senior Vice President – Business Development, Fingent

If you’re looking for a technology partner who can build a web or mobile app, deploy RPA or AI technology, or provide software consulting, please get in touch! We’d love to discuss your latest project.

How AI is bringing change to the software testing practice

Artificial Intelligence is penetrating into multiple functions performed by the software industry. In software testing, the technology holds the potential to be a game-changer. Imagine the capability of your software to test and diagnose itself and make self-corrections! This will lead to huge savings on your resources. With this in mind, let’s try and understand exactly how AI will impact the traditional way of software testing. 

Before we proceed, let’s get one thing clear – Do we really need AI in software testing?

Do We Really Need AI in Software Testing? 

Software testing came into existence as a result of the evolution of development methodologies. It fed the need for robust, error-free software products. Testing was a laborious task for sure. However, automating software testing required traceability and versioning, both of which were critical and needed careful consideration. Something was needed to resolve this.

As businesses move towards digital transformation and the software market continues to grow, businesses expect a real-time risk assessment across all stages of the software delivery cycle. AI in software testing is the right response to these challenges. AI can develop error-free applications while enabling greater automation in software testing. This helps meet the expanded, critical demands for testing. It improves the quality of engineering and reduces testing time allowing the tester to focus on more important things. The verdict is clear then – We Really Need AI for Software Testing!

Five Impressive Ways AI Impacts Software Testing

1. Improves object application categorization

AI is widely used in object application categorization. When tools and testers are created, unique pre-train controls can be created. Once the hierarchy of the controls is categorized, testers can create a technical map to obtain labels for the different controls. 

In the near future, AI will become capable of observing users perform exploratory testing on the testing site. And once user behavior is assessed, it can assign, monitor, and categorize the risk preference.

2. Automation of test case writing 

Gone are the days of web crawlers. As automation is picking momentum, AI tools have become capable of learning business usage scenarios of test applications. 

Related Reading: Unconventional Ways Artificial Intelligence Drives Business Value

They can automatically collect insightful data such as HTML pages, screenshots and page loading time and eventually train ML models for expected patterns of the app. And as soon as they are executed, any variations are marked as potential issues. This makes it easier for the tester to find and validate differences and fix issues. 

3. Enhanced accuracy

To date, source analysis requires human resources to accomplish the task. Unfortunately, because of the enormity of the data, even the best experts could overlook, or miss out on observing certain critical defects. Human error and the tendency to lose focus further impairs the experts involved in software testing. It can be disastrous if bugs caused by these errors are caught by consumers before project stakeholders. Product positioning and brand reputation can be jeopardized. 

Thankfully, AI can teach systems to learn source analysis and, in the future, apply this acquired knowledge. This ensures that testers have greatly enhanced accuracy. It eliminates the probability of human error and also shortens the time to run a test and increases the possibility of finding defects or bugs. 

4. Automation without the user interface

AI-based techniques can be applied for non-functional tests such as performance, security and unit integration. It can also be applied on various application logs which assists in developing auto-scaling capabilities such as bug prediction.

AI algorithms can enhance UI testing, predict the next test, determine the outcomes for subjective and complex tests and much more. In other words, AI could increase the overall test coverage while it increases the depth and scope of the test itself.

5. Reduces cost and decreases time to market

The need for manually repeating a test is time-consuming and extremely expensive. But with AI, such tests can be automated to repeat several times over. Each time the software test is repeated automatically, the source code gets modified to correct any bugs. This eliminates the additional cost of repeating the test and increases the speed of the test from days to hours, which in turn saves more money.

Related Reading: Quality Assurance in Software Testing – Past, Present & Future

Allow AI to Revolutionize your Business

AI has proven to have a significant impact on software testing with its benefits ranging from optimization to extraordinary savings. It enables testers to move beyond the traditional route and dive toward precision-based testing processes. This can prove invaluable to your business. To find out how you can make this happen for your business, contact us. 

Fingent Receives High Praise from Leading Businesses Around The World!

In today’s increasingly digital marketplace, technology is key to gaining a competitive advantage. Of course, with technology advancing at an unprecedented rate, determining how to most effectively deploy the latest technologies is easier said than done.  As a top custom software development company, we build high-quality, cost-effective web and mobile solutions that deploy the newest technologies and meet all of your enterprise needs. 

We’re committed to delivering the best quality and customer service — and for that reason, we’re a trusted partner to some of the world’s leading enterprises and businesses. 

We know how important it is for potential buyers to peruse client testimonials and understand what it’s like to work with us before signing a contract, and that’s why we’ve partnered with the ratings and reviews platform Clutch.

Of more than 300 firms, Clutch ranks us among the top 3 software developers in NY! Clutch determines industry leaders based on market research and client feedback, so we’re immensely grateful to the clients who have left reviews for us. One of our recent reviews was from Wage CALC, a company that provides attorneys and legal professionals with a better way to manage their wage and hour cases with wage & analysis software. 

Wage CALC was in need of custom software development services. They were looking for a trustworthy, well-known developer — and they found us on Clutch! Deploying a Microsoft Excel prototype that they’d created, we built their cloud-based app from the ground up.

“I’ve had such an excellent experience with them. Fingent exceeded my expectations.” — Founder & CEO, Wage CALC

The client was impressed that we were able to break down their complex, formula-heavy prototype. They commended our professional and responsive team and were particularly appreciative of how our SVP helped to streamline communication between our team in India and theirs in California.

We received another 5-star review from a large transportation and logistics company that specializes in oil and gas equipment pickup and delivery. There’s a significant technology gap when it comes to processing orders, invoicing, and workflow management within the logistics industry, and we were prepared to change that.

We developed an end-to-end transportation management solution. The solution allows customer service representatives to assign vehicles for order pickup and delivery, while drivers can use a mobile version of the solution to send documentation and process tickets and billing. The company’s accounting team also uses the system to do invoicing, collect payments, and close orders. 
“The management system is light years ahead of anything else in our industry.” — IT Director, Transporation Company

The client appreciated our consistency and availability, along with our team’s impressive knowledge and talent.

Meanwhile, The Manifest, Clutch’s partner site listing market experts, ranks us as the #1 custom software development company.

Fingent is not just recognized by the Clutch! A few well-known rating sites like the Software World, have also appreciated Fingent for its expertise in software development and technology solutions.

Learn more on why Fingent is the most trusted Tech Partner for emerging enterprises, and how our expertise can benefit your business. Contact us today — we offer free consultations! 

It’s Time to Bid Goodbye to the Legacy Technology!

The decade’s end has seen numerous inevitable changes in the technology market. It hasn’t been long since we bid adieu to Python 2, and now Microsoft Silverlight is nearing its end-of-life!

This surely brings a million questions to your curious mind! 

Why did Microsoft decide to end all support for Silverlight? What are the next best alternatives available in the market? And most of all, is it okay to still keep using Silverlight? 

Read on as we answer it all!

What is Microsoft Silverlight?

Silverlight, an application framework designed by Microsoft, has been driving rich media on the internet since 2007. Created as an alternative to Adobe Flash, this free, browser focused developer tool facilitated web development by enabling computers and browsers to utilize UI elements and associated plugins for rich media streaming. With the emergence of video streaming platforms like Netflix and Amazon Prime, Silverlight turned out to be a great option to enable sophisticated effects.

So What Led To The Demise of Microsoft Silverlight?

A couple of things, but mostly Silverlight could not catch up with the rapidly evolving software market!

When Microsoft Silverlight was released in 2007, it looked like a huge success. Especially with the successful online streaming of the huge Beijing Olympics coverage in 2008, the political conventions of 2008, and the 2011 Winter Olympics, Silverlight was on a roll, later pulling in major video streaming platforms like Netflix and Amazon Prime onboard.

However, Silverlight could not shine for long. A few problems started to surface soon. Bugs in several applications were just one manifestation. The worst issues came about with Microsoft misjudging the real requirements of the market.

Although Silverlight reduced the user’s dependency on Flash to access rich graphics, animations, videos, and live streams online, it did so with a heavy reliance on Microsoft tools at the backend. Using Microsoft .Net Framework and XAML coding format, Silverlight offered the support for Windows Media Audio(WMA), Windows Media Video(WMV), advanced audio coding and the rest. 

This seemed difficult, as well as risky for developers, especially to depend on a single vendor’s framework. Meanwhile, constant push to upgrade Silverlight made things more complicated, leaving developers more comfortable adopting low cost opens source alternatives like Flash and JavaScript over Silverlight. With HTML5 -and other browser standards on the rise, Silverlight became an outlier in the market.

In 2013, the Redmond giant stopped the development of Silverlight but continued to roll out bug fixes and patches regularly. In September 2015, Google Chrome ended support for Silverlight, followed by Firefox in March 2017. Microsoft-edge does not support Silverlight plug-ins at all, and with modern browsers transitioning to HTML5, Microsoft did not see any need to keep maintaining this application framework.

So, it’s official! Microsoft has announced the support end date for Silverlight to be on October 12, 2021. 

And what is Netflix going to do? Well, Netflix currently supports Silverlight 4 and Silverlight 5. So Netflix viewers, using it on Windows XP or Windows 7 PC (both themselves now unsupported) can use either the Silverlight plug-in or HTML5 player.

What Happens After October 2021?

Not to worry, there won’t be a big boom on October 12, 2021! 

It is true that Silverlight will be completely unsupportive after the said date and will no longer receive any future quality or security updates. But however, Microsoft is not preventing or terminating any Silverlight applications for now.

So should you still be using Silverlight?

Well, no! Fewer users will be able to still use Silverlight driven apps. However, this would turn worse, with developers wanting to work in a dead-end development environment, which will immensely raise the cost of supporting Silverlight apps.

What Are The Next Best Options?  

No doubt Microsoft Silverlight has served as a great option for developing rich apps. However, with the end of support for Silverlight, here’s listing a couple of new tech stacks that promises to be more reliable alternatives. 

AngularJS, a popular framework maintained by Google is simply a great option for developers around the world. It is an open-source framework designed to address the challenges of web development processes and offers ease in integrating with HTML code and application modules. Moreover, it automatically synchronizes with modules that make the development process seamless, and following a DOM methodology, it focuses on improving performance and testability. Adding to this, AngularJS uses basic HTML that enables building rich internet applications effectively. Also, with an MVC built architecture and various extensions, this technology proves to be a great option for designing applications that are dynamic and responsive.  

ReactJS is another application framework that can easily be labeled as a “best seller”, based on the popularity and affection it has gained in the developer community. Launched in 2013, the ReactJS framework is today well regarded and used by leading companies like Apple, PayPal, Netflix, and of course Facebook. React Native is a variant of the ReactJS JavaScript library that combines native application development with JavaScript UI development, to build web pages that are highly dynamic and user-responsive. While native modules allow implementing platform-specific features for iOS and Android, the rest of the code is written with JavaScript and shared across platforms.

Related Reading: React Native Or Flutter – The Better Choice For Mobile App Development

With technologies running in and disappearing from the market, it can be quite difficult to decide on the stack of digital tools that would best fit your business. Our business and solution experts can help ensure that you transform with the right technology to meet industry challenges and enhance your revenue opportunities. To discuss more on how we can help you identify the right technology for your company, get in touch with our custom software development experts today!

Testing Types And Strategies: Choosing A Testing Method

Understanding the basics of software testing is crucial for developers and quality assurance specialists equally. To deploy a better software and to find bugs that affect application development, it is important to learn about the different types of software testing. 

Types Of Software Testing 

Testing is a process of executing a software program to find errors in the application being developed. Testing is critical for deploying error-free software programs. Each type of testing has its advantages and benefits. Software testing is broadly categorized into two types; Functional and Non-Functional testing.

Functional Testing Versus Non-Functional Testing

Functional Testing is used to verify the functions of a software application according to the requirements specification. Functional testing mainly involves black box testing and does not depend on the source code of the application. 

Functional Testing involves checking User Interface, Database, APIs, Client/Server applications as well as security and functionality of the software under test. Functional testing can be done either manually or by making use of automation. 

The various types of Functional Testing include the following:

• Unit Testing
• Integration Testing
• System Testing
• Sanity Testing
• Smoke Testing
• Interface Testing
• Regression Testing
• Beta/Acceptance Testing

Non-Functional Testing is done to check the non-functional aspects such as performance, usability, reliability, and so on of the application under test. 

The various types of Non-Functional Testing include the following:

• Performance Testing
• Load Testing
• Stress Testing
• Volume Testing
• Security Testing
• Compatibility Testing
• Install Testing
• Recovery Testing
• Reliability Testing
• Usability Testing
• Compliance Testing
• Localization Testing

The 7 Most Common Types Of Software Testing

Type 1: Black-box Testing

Black-box testing is applied to verify the functionality of the software by just focusing on the various inputs and outputs of the application rather than going deep into its internal structure, design, or implementation. Black-box testing is performed from the user’s perspective.

Type 2: White-Box Testing

The White-Box software testing strategy tests an application with access to the actual source code as well as focusing on the internal structure, design, and implementation. This testing method is known by different names such as Open Box testing, Clear Box Testing, Glass Box Testing, Transparent Box Testing, Code-Based Testing, and Structural Testing. White-box testing offers the advantage of rapid problem and bug spotting.

Type 3: Acceptance Testing

Acceptance Testing is a QA (Quality Assurance) process that determines to what extent a software attains the end user’s approval. Also known as UAT (User Acceptance Testing) or system testing, it can be testing the usability or the functionality of the system or even both. Depending on the enterprise, acceptance testing can take the form of either end-user testing, beta testing, application testing, or field testing. The advantage of acceptance testing is that usability issues can be discovered and fixed at an early stage.

Related Reading: Quality Assurance in Software Testing – Past, Present & Future

Type 4: Automated Testing

Automated testing is a method in which specialized tools are utilized to control the execution of various tests and the verification of the results is automated. This type of testing compares the actual results against the expected results. The advantage of automated testing is that it avoids the need for running through test cases manually, which is both tedious and error-prone, especially while working in an agile environment. 

Type 5: Regression Testing

Regression testing is a testing practice that verifies whether the system is still working fine, even after incremental development in the application. Most automated tests performed are regression tests. It ensures that any change in the source code does not have any adverse effects on the application.

Type 6: Functional Testing

Functional Testing tests for the actual functionality of the software. This type of testing focuses on the results of the system processing and not on how the processing takes place. During functional testing, the internal structure of the system is not known to the tester. 

Type 7: Exploratory Testing

As the name indicates, Exploratory testing is all about exploring the application where the tester is constantly on the lookout for what and where to test. This approach is applied in cases where there is no or poor documentation and when there is limited time left for the testing process to be completed. 

Related Reading: A Winning Mobile Testing Strategy: The Way to Go

All the methods mentioned above are only some of the most common options of software testing. The list is huge and specific methods are adopted by development vendors based on the project requirements. Sometimes, the terminologies used by each organization to define a testing method also differ from one another. However, the concept remains the same. Depending on the project requirement and scope variations, the testing type, processes, and implementation strategies keep changing. 

Like to know more about Fingent’s expertise in custom software development and testing? Get in touch with our expert. 

Fingent Tops Among The Global B2B Companies Listed By Clutch

We can expect software development to go to new and exciting places in 2020. At Fingent, we couldn’t be more proud of what we’ve accomplished this year and look forward to what’s to come. We are thrilled to announce that Fingent has been included in the Clutch 1000, a list of the 1,000 top global leaders on Clutch! 

We are ranked #5 on the Clutch 1000, which puts us in the top 1% of the over 160,000 companies on their site! We are also one of over 140 custom software development companies on the list, as well as the only company based in White Plains, New York. 

Clutch is a Washington, DC-based B2B ratings and reviews platform. Their team of independent analysts conducts interviews with the past clients of service providers. These verified reviews form the basis of the ratings and rankings on their site! Fingent is thankful to all of our past clients who made this award possible by leaving us reviews on Clutch!

“We are thrilled to have been featured among the Clutch Top 1000 Companies by Clutch!” – Varghese Samuel, CEO & MD, Fingent

Looking for more? Clutch has two sister sites, the Manifest and Visual Objects! The Manifest compiles company shortlists based on service lines and geographic location. We are proud to be one of the leading businesses on the Manifest under the software development category! On Visual Objects, users can look through our solution portfolios to find the best fit for their next project.

We are thankful to all of our clients who have allowed us to be part of their projects! Your success is our success. Looking to start a new project? Get in touch with us today!