Hardware environment is when during the implementation stage of a software solution, a software developer must make decisions based on what hardware the solution can run on. Additionally, determining any additional hardware pieces it requires to run or hardware extensions that can be added that is optional.
Minimum Hardware Configuration refers to what is the least amount of hardware specs required to run a software solution. This can include the processor, memory, graphics card, network, storage, sound card etc.
Possible Hardware Configuration refers to if a software solution has an optional hardware attachment that can be used with the software solution however is not required for it to run. For example, if the software solution is VR compatible or AR compatible.
Appropriate Drivers/Extensions refers to if a software solution requires drivers for it to work appropriately and efficiently. For example, if a software solution requires a network adapter to work, the software developer will need to make sure that the drivers needed for the network adapter to allow communication to the computer is easy to access or is packaged with the installation of the software solution
In the era of digitalization, software development is one of those fields which is changing at an extremely fast pace. Every year brings some brand new surprises for software developers. 2018 and 2019 were the years of complete acceleration for software development companies worldwide. From blockchain to Artificial intelligence, software technologies have remained a hot topic throughout the years.
Besides the ones shown on the right, some more include:
Language Trends, Outsourcing, Code Quality & Internet of Things.
Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans.
Speech recognition
Learning
Reasoning
Planning
Problem solving
Language
Applications of Artificial Intelligence (2017-2019)
Siri
Alexa
Telsa
Cogito
Boxever
John Paul
Amazon.com
Netflix
Pandora
Nest
Neural Network : Neural networks are computing systems with interconnected nodes that work much like neurons in the human brain. Using algorithms, they can recognize hidden patterns and correlations in raw data, cluster and classify it, and – over time – continuously learn and improve. (1950s - 1970s)
Machine Learning: Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. (1980s - 2010s)
Deep Learning: Deep learning is a type of machine learning that trains a computer to perform human-like tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. (Present Day)
Currently, the main programming language that is being used within the recent decade is java and java script. The popularity of this language is based on its great adaptive nature for hybrid applications where companies such as Google use it to create and run their search engines coupled with other programming languages.
The outsourcing market is on a rising spree worldwide. The IT industry outsources projects as business owners prefer outsourcing developers rather than hiring in-house developers, due to cheaper costs and satisfactory performances. While quality may be lost, it is significantly cheaper to outsource, anyway, the loss of quality is meagre.
As technology is flourishing, it is essential to focus on the quality of your code.
As, every software and web development company must have clear development approaches and structures to provide coding to their software. The task type should decide the coding quality and structure solely for the best outcomes.
IoT app development is the latest advancement in software development which has its effects spread at both the consumer and industrial scale. The technology that essentially binds that all technologies together is set to witness an exponential demand across the domains of safety and customer experience.