Major areas of application of software

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Programming Software: This one encompasses the tools that allow programmers to create, debug, write and maintain other computer programs and applications. Examples of programming software include Eclipse, Sublime Text, and Coda. Application Software: This refers to different programs that you, as an average computer user, operate to make your computer perform a variety of different tasks.

Application software is composed of a huge number of different programs that are designed to allow you to do everything from writing a report to navigating websites. Need some examples? This software retrieves content, such as websites, from web servers. Whenever you want to create a typed document, you likely turn to a word processor, which is another kind of application software. Below are some of the well-known applications concerning GIS. Agriculture is one of the important tasks of human civilization.

It is not only done for feeding the bellies but also to run the global business. GIS has spearheaded into this field with many of the applications. Developers, Builders, Architects, and Engineers are now using spatial data sets to plan on the futuristic township. With the help of granular information, it becomes easier for engineers and architects to hardly miss out on any of the parts. The data is also useful to tackle water clogging during the time of flood and cloud burst in monsoons.

It has also helped in redesigning the drainage models. Oil Spill can be intentional or accidental, depending on the conditions. The price is always paid by the Marine life and the humans who have frequent access to that particular sea route. GIS and geospatial data sets are used to curb such havoc spreading spills. According to various reports, most oil spills happen in the Malaysian coastal areas.

Governing bodies have implemented GIS to tackle such spills. It is cost-effective than the hazardous oil spill, which is also harmful to marine life. Software is becoming pervasive in areas such as transportation avionics, automotive , health, and control of nuclear plants, of railway signalling systems, of conflict detection system , where a failure or malfunction may be extremely damaging, even in terms of human lifes.

The constraints for such safety-critical systems are extremely stringent: the systems must be able to function during extremely long period of times, in presence of human mistakes or hardware or software failures, and provide an acceptable level of services at all times.

Thus, it is urgent to develop methods and tools that help support the development of such dependable software and its quantitative evaluation against the aforementioned constraints. To achieve this goal, it is important to build programming languages and software architectures that facilitate the development of fault-tolerant, resilient, and adaptable applications.

One particular challenge is to scale existing methods so that they become effective in the context of distributed and networking systems. Computer infrastructures are evolving towards highly distributed networks able to provide users with a uniform and global access to services. At the same time, selling services has become the biggest growth business in the IT industry.