Latest Software Engineering Trends

Technology is rapidly changing and as Software Engineering undergraduates we must be updated about what’s happening around us. Thankfully, the mobile company “hSenid” gave us opportunity learn about the new trends in software industry. To give this opportunity hSenid HR came and he did a great lecture about this.

In early there was communication with people. Then started communication with hardware and live ware. After that there was hardware to hardware communication. It introduce called IOT(Internet Of Things). Upcoming trend is communication with pets.


Automotive
We are going to see many interesting developments in this industry due to the major disruption started by Tesla. Obviously, we will see the launch of many more self-driving cars, but we will also see the entire connected car system become “smart.” Expect your car to predict the failure of a part and suggest some convenient times for you to go the mechanic, who will have the replacement part ready for you!

Big Data
Three big trends have shaped application development over the last several years: cloud, agile, and DevOps. In 2017, we’re going to see these trends hit data in a big way. We already see the effect of cloud in architectures that separate compute and data. Cloud-based blob stores like S3 have become the new data lake for many organizations. Agile practices will increasingly influence the work of data engineers and data scientists, enabling them to benefit from fast feedback cycles and continuous delivery of value. Finally, we’ll see database administrators leverage DevOps practices to automate deployment and orchestration of their data services, assisted by offerings like Pivotal Cloud Foundry’s data services that enable developer self-service through automation.

Cloud
At Bloomberg, our position in the global capital markets pushes us to understand the unique requirements of extreme network and systems availability. However, many companies across a diverse set of industries do not yet (fully) appreciate these requirements. As more and more organizations move their mission-critical systems to the cloud, we anticipate there may be a number of large scale incidents in 2017 (e.g., service outages, DDOS attacks, etc.) that cause businesses to realize the importance of implementing a multi-cloud strategy. It is our belief that enterprises will need to spread their chips around and utilize multiple cloud providers to achieve best-of-breed availability.

Data Science
In 2017, enterprises will increasingly migrate away from centralized, shared-service data science organizations in favor of embedding data scientists directly in business units and even making data scientists part of software development project teams. This will lead to better software that leverages data science to support “intelligent” features, such as personalized recommendations and intelligent automation.

Virtual Reality

For Virtual Reality (VR), 2017 is the year that content comes into focus. Hardware manufacturers will incentivize content creators and there will be increased investment in VR content led in large part by Asian-based investors. On the hardware front, manufacturers like HTC, Google, Oculus, and others will continue to iterate on their VR technology with a focus on computing efficiency and increased mobility.

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