Nine Types Of Software Development
There are a
myriad of kinds of projects for software development. Some are established and
others that are just beginning to take on new types of technology. Even the
most established kinds of software development are subject to change when
frameworks, methodologies and programming languages, as well as softwaredevelopment tools and techniques develop or become developed.
In this
article we will present the nine types of software development which include:
- Web application
development
- Mobile application development
- Data science
- Video game development
- Desktop software development
- Wearables software development
- Cloud computing
- DevOps
- Development of embedded systems
Let's examine
each of these kinds of software engineering separately.
1. Web Application Development
Web-based
applications can be described as any application accessible via an Internet
browser using a laptop, smartphone or tablet computer, or any other
internet-connected device. Web applications require a browser and an Internet
connection and do not require to download or be upgraded to be used by users.
Contrary to a simple and static website web applications are constantly
changing, altering the display in response to user inputs or actions.
In the mobile
app design there's an front and back-end both requiring distinct type in
software design.
Front-End Development
Front-end
includes all elements that display the web application to the user's browser.
The frontend is built using HTML, CSS, and JavaScript Frameworks provide simple
templates as well as components.
Database Development
The process
of creating a database is the process of creating the system to store and
retrieve electronic data. This could comprise your web app's code and also the
data you collect. Database developers should be proficient in creating and
managing data on popular systems like MySQL, MongoDB, Microsoft SQL Server,
Oracle, or Redis.
API Development
APIs software
lets two programs talk together, typically creating a two-way communication to
web-based services as well as web servers. It lets data be transmitted,
processed and then displayed in a readable manner. A well-designed API can
encourage innovation and growth and allow organisations to connect and tap into
systems to create both external and internal value.
Full-Stack Development
A full-stack
developer is skilled at front-end development as well as back-end development
instead of focusing in a particular area of development over another. To be a
full-stack designer you must be aware of a variety of frameworks, languages and
design patterns.
A full-stack
approach to development can be extremely efficient, as it provides end-to-end
oversight and a continuous flow of development which could help save time and
money. But, if an organisation puts too much emphasis on a single developer it
can lead to work piling up and create delays or risks in the event that an
employee quits or is absent for a period of time.
Progressive Web Apps
A progressive
web application can be described as a web-based application which resembles an
app for mobile devices, and is embedded in an app shell. A PWA is compatible
across all platforms and devices and does not require much in terms of storage,
and has the ability to run offline by caching. Although the PWA might not have
the features that can be found in native applications, PWAs can boast speeds as
high as 15 times quicker than native applications.
2. Mobile Application Development
Mobile app creation
is the creation and development of software programs that need to be downloaded
onto the device of the user to use. The majority of mobile apps depend upon the
Internet connection to connect to remote resources.
With the variety
of operating systems and devices accessible, this leads to options for whether
an application should concentrate on only one platform or device or whether the
application is designed to run on any platform. There's pros and cons for every
option, as explained below:
Native App Development
Native apps
tap to features specific to the platform, usually offering a user experience
customized to the experience a user is used to of their gadget, with regard to
performance and visuals. However native development may cost a higher price if
the app has to cater to more than one platform, as it will require a separate
development team for every platform.
Cross-platform Development
Cross-platform
development aims to create an app that can be distributed to as many of the
brand's followers as is possible, by utilizing the widest range of devices
throughout the development and creating process. Cross-platform apps are able
to offer lower development cost however they may not be able to access all APIs
for devices or satisfy the UI requirements of every device. There are some lags
in performance that are to be expected.
Hybrid Development
Hybrid
development refers to the creation of an application that attempts to combine
the advantages of native apps and the versatility of cross-platform
applications. Technically speaking the term "hybrid app" refers to an
application that is web-based and placed in an native shell which must be
downloaded onto the device of the user. A hybrid application can tap to native
elements to enhance user experience.
Hybrid apps
are simpler and quicker to build than native applications, but the
cross-platform integration and native development can take additional time and
could result in performance issues.
3. Data Science
A broad
definition of the term "data science," that is used to describe the
use of scientific methods to gain information from unstructured and structured
data. Data science blends computer science, math, and business knowledge,
usually making use of machine learning or artificial intelligence. The data
science area is expected to expand each year at 28%. It is one of the fastest
growing fields that develop software.
AI
Artificialintelligence is a generic term that refers to any program that can
comprehend reasoning, reason, and acquire knowledge by the experience of. The
market for artificial intelligence is currently worth more than $62.35 billion
and is growing at an 40.2 percent CAGR. There are examples from manufacturing and
automotive healthcare as well as social media and consumer technology and even
beyond. The most common examples are the iRobot vacuum and Tesla's self-driving
technology and web-based searches, or even the autocorrect feature on your
smartphone.
Machine Learning
Deep Learning
The term
"deep learning" refers to a particular subset that combines machines
learning as well as AI which makes use of neural networks for the ability to
transform data in a non-linear manner. Deep learning is ideal to more difficult
problems. It requires more education to "feed and create" this type
of system.
4. Video Game Development
Development
of video games is no longer limited to studios with large budgets due to game
engines that are readily available frameworks that facilitate creation of games
using video.
Lumberyard
The engine
was developed in partnership with Amazon, Lumberyard is a free game engine for
cross-platform platforms built on CryEngine which is still in development
following its launch in March of 2018. Lumberyard is able to develop games on
Windows, PlayStation 4, XBox One, and with only limited capabilities for iOS as
well as Android. Lumberyard can be written using C++ and Lua.
Because it
was developed in partnership with Amazon, Lumberyard works seamlessly with
Amazon's Web Services.
5. Desktop Software Development
Desktop
software development is focused on programs that are installed local on your
computer (or laptop) with or without Internet connectivity. Although web-based
and mobile applications are dominating today's development scene but desktop
software continues to play an important part.
Windows Development
The
development of software for system use, applications as well as frameworks and
applications for Windows development requires knowledge about C#.
macOS Development
macOS as well
as iOS apps are created with Swift, Python or Java. Swift first came out in
2014 and replaced the previous language of Objective C.
Linux Development
Linus Desktop
market share is between 1.74 to 2.18 percent, which means it's rare to build
for Linux in which market share is an objective. However, Android is based upon
the Linux kernel and this growing popularity has accelerated expansion in
market share in the Linux Desktop market. Most programming languages can
support Linux development.
6. Wearables Software Development
Wearable
technology refers to any type of computer that is placed on the body. There's a
massive growth in the market for wearables, which is currently expanding at
22.5 percent CAGR. It is expanding into accessories for the head, wrist as well
as shoes, jewelry and even clothing.
Watches
Wearable
technology on the wrist isn't restricted to fitness tracking or mobile wallets.
Today's wrist watches provide capabilities for social media and productivity,
health tracking in addition to games. The wearable technology is only native.
The development for Apple watches is based on Swift and different brands
comprise Samsung Galaxy, and Fitbit Sense.
Glasses
Smart glasses
offer a variety of options, starting with basic Bluetooth connectivity for
music, to cameras integrated and even integrating the artificial world (AR) as
well as VR. (VR) like Google Glass and Oculus Quest. The development of the
glasses is largely contingent on the type of device and degree of advanced
technology.
7. Cloud Computing
Anyone who is
interested in cloud computing must be aware of Python, Erlang, and Go.
Serverless Computing
Serverless
computing allows backend services as required with no requirement to purchase a
particular number of gigabytes or the number of services. The option is
becoming more popular with services offered by AWS, Google Cloud and many more.
8. DevOps
DevOps is a
concept that incorporates automated security processes into Agile IT by
incorporating security into the speedy and iterative development methods used
by a variety of companies in the present. DevOps demands that software
developers possess the necessary knowledge of integration, programming, and
testing from the theoretical level as well as with frameworks and tools.
Continuous Integration
Continuous
integration means that new user stories for Agile are created then tested and
integrated into the existing system numerous times to ensure the security and
integrity of the application. Automated testing is an approach that aids in
managing continuous integration, making sure that the results of tests are true
and there is no chance for human error.
Continuous Deployment
Continuous
deployment builds upon this by having the team of developers working through
issues or bugs, or even new user stories. They automate delivery to guarantee
it is the DevOps team is always working on the most recent high-quality code
and that the latest features are accessible to users. In conjunction with
Continuous Integration, the procedure is called the CI/CD pipeline
9. Embedded Systems Development
embedded
systems is an electronic device which is
specifically designed to serve particular purposes as a component of a device.
Microprocessors are a prime example of embedded systems. Nowadays embedded
systems are less bulky and cost-effective than before, with applications that
include communications, consumer electronics, aviation home automation, medical
devices, vehicles and even the "Internet of things." The majority of
embedded systems rely upon embedded Linux, VXWorks and Windows CE and depend on
the expertise of embedded C, Assembler, Python, Adruino, or Java.
Conclusion
It is
believed that there are more than 23.9 million developers of software in the
world which will increase to 28.7 million in 2024. Despite being the most
developed country in the world with more than 4.3 million programmers in it is
estimated that the United States had over 1.4 million computer science jobs
unfilled in 2024. This is an IT skills gap that will only grow.
Comments
Post a Comment