Latest Software Engineering Trends

                                Software engineering is a rapidly changing one. People who involve with this field are developing this field continuously. So this field come with new trends time to time. This article will discuss about latest trends in software engineering.

                               We can find applied mobility, capability clouds, social computing, real analytics and agile software development as latest trends in software engineering.

                                  The Mobile applications are essentially powerful that they are elegant solutions to well-defined problems, and designed for operations on-the-go. Companies are rethinking business processes and enabling new business models that would not have been possible without mobile technology. Evolutions in location-based services, social networks, mobile payment processing, low-cost device add-ons and integration with enterprise systems has led to the potential for employees, customers and suppliers to consume and produce sophisticated information, goods and services from anywhere. And with the extension of mobile solutions to sensors and actuators in physical goods and equipment, otherwise known as asset intelligence there is the potential for almost anything to become part of the mobile solution footprint.

                                        Capability clouds move beyond the building blocks of capacity to deliver finished services that directly address business objectives and enterprise goals. Instead of dealing with machine images or database instances, the discussion shifts to the analytics cloud, the testing cloud or the sales cloud and help to focus on a more important set of values. Also with the advent of capability clouds helps focusing on accelerating time-to-results, adding new functionality or changing business processes and business models rather than cost of ownership and efficiency issues. It is relatively easy for a business unit leader to buy a software-as-a-service tool for point solutions such as workforce planning or compensation management; the main requirement is simply a corporate credit card.
There have been three main drivers of cloud adoption thus far: a preference for operating expense over capital expense; speed to solution; and flexible, scalable access to specialized resources – be they technology, software or people. The capability cloud can add opportunities for agility and innovation in how business processes even business models are acquired composed and revised. For an example the analytics cloud may go beyond just delivering analytics databases, models and tools and offer PHD-level statisticians applying the art of the science where you only pay for the level of service that is needed.

                                          Everyone has started going online for their daily needs and hence we are leaving the trails our opinion, behavior and choices. The data of traces created when mined would provide business with a good source of insight on market positioning, consumer sentiment and employee productivity. By performing analytical operation on the data organizations can better understand their customer needs, preferences, their employee’s experiences and problems that require immediate co-corporate attention. With the help of Social computing Businesses are able to take a results oriented and business-led approach, focusing on specific issues and communities, soliciting membership and creating platforms for content, collaboration and transactional support.

                                      Many organizations began to see information automation outweigh business process automation as their highest priority area. Analytics offer improved visibility to drive operational efficiencies, as well as a platform for growth by addressing heart-of the-business questions that could guide decisions, yield new insights and help predict the future of business. Leading organizations are launching broad initiatives with executive-level sponsorship, ready and eager to achieve their vision via real analytics. Due to exploding data volumes and regulators demands deeper insight into risks, exposure and public responsiveness are much needed.

                                By investing in a balance of information management, performance management and advanced analytics, organizations can make small steps, smartly made to capture measurable results. Real analytics can provide knowledge, fact-based predictions and business prescriptions if applied to the right problems, and if the suggestions based on results are pushed into action.

                                    Let's consider about the agile software development. Agile methods break tasks into small increments with minimal planning and do not directly involve long-term planning. Iterations are short time frames (time boxes) that typically last from one to four weeks. Each iteration involves a team working through a full software development cycle, including planning, requirements analysis, design, coding, unit testing, and acceptance testing when a working product is demonstrated to stakeholders. This minimizes overall risk and allows the project to adapt to changes quickly. Stakeholders produce documentation as required. Iteration might not add enough functionality to warrant a market release, but the goal is to have an available release (with minimal bugs) at the end of iteration. Multiple iterations might be required to release a product or new features.