IT testing is known for the exhaustive number of test cases and manual toil - but is no longer a pain after “automation” in IT came as an angel in disguise. Execution times reduced there by increasing efficiency. First generation test automation tools provided macro recording facility which ran on synchronous API where the test execution engine fires a command and then waits for it to be executed. This tool was working well for short length automation and was also done by combining a logical sequence of such short length macros & the test flow.
As per the predictions of the Nelson Hall research group, the market size for overall software testing is expected to rise to around $34 billion by 2017. In the worldwide software and product development, overall quality is becoming better and better as application testing as a discipline is evolving. Agile techniques and practices are gradually being adopted, and software testing is more widely used. In fact, there has been an upward spiral in the number of companies adopting a fully operational Test Centre of Excellence with growing testing budgets.
Software testing plays an important role in the software development life cycle as every customer expects zero defects & 100% performance. Innovative ways in testing practices which can bring down cost and save time are always in need. Cloud computing is one of the best ways for Software testing at the present scenario which gave a new thought in delivering services in IT sector. It has advantage of distributing & using resources across the globe at the time of your convenience.
The rapid growth of IT industry continuously brings efficiency, innovation, and agility in IT operations. Organizations are fast approaching cloud computing to gain efficiency in development, testing and creating web applications to meet customer’s demands. Cloud platforms such as PaaS allow organizations to maintain proper balance between centralization and distribution of control. Centralization of control brings consistency, economies of scale, and efficient roll out of innovation while distribution of control allows agility and flexibility to organizations to respond quickly.
There were days when organizations were striving for getting real time information. With mastering real time information, organizations were able to make decisions quickly. But with recent advances in analytics, cloud computing and data mining, the quest has transferred from real time information to real time ‘Sense and Response’.
Enterprise social network is a representation between enterprise and their various stakeholders like suppliers, vendors, retailers, customers, partners, employees and the general public. In today's IT driven world, social media plays an important role in getting connected to the world. Web 2.0 applications have found their way into corporate practices, and we have seen a continuously increasing demand for corporate social software to support knowledge transfer and collaborations. The organizations are continuously trying to leverage the potential benefits of social networking.
Today, the world is being increasingly recorded and portrayed into digital bits for perpetuity. Our human existence is splashing into the digital world with the pace never recorded. Talk about human emotions, behaviour, love, global business deals and so on. All of it is being measured in bytes and these when bunched together formulates MB, GB and TB. This is where “Data Science” comes in.
Crowdsourcing of microwork is the latest addition in today’s fast paced growing cloud technologies. With crowdsourcing, hobbyists, part-timers, and dabblers suddenly have a market for their efforts. In present global network, companies are not only trying to tap the talent of the crowd but also leveraging new opportunities by directly interacting with masses. Let’s see Sam’s case.
People and electronic gadgets are generating voluminous amount of data every day. You play a song or a video, shop through online stores or you just simply surf some popular pages, these activities are spawning data with greater velocity and even with greater variety. This large cookie collection, data exchanges and analytics worked out on such huge data collection to find out patterns and correlations is – in short Big Data Analytics.
In the future, difference between successful and unsuccessful company will be increasingly dependent upon its ability to leverage information. For an organization to produce great decisions, it will require two pieces of data - one with real time information and the other with historic information and even further with the ability to blend this together and predict results.
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