Advance software enginering

Portability Software Reliability The probability of failure free program in a specified environment for a specified time is known as software reliability. The software application does not produce the desired output according to the requirements then the result in failure. A software availability is the probability that a program is running according to the requirements at a given point in time.

Distributed Software Engineering In distributed system, various computers are connected in a network. The connected computers communicate with each other by passing the message in a network. Distributed system issues Distributed system is more complex system than the system running on a single processor. Complexity occurs because various part of the system are managed separately as in the network. Following are design issues considered while designing distributed systems: Resource sharing - Sharing hardware and software resources.

The openness - System is designed in way that equipment and software from different vendors are used. Concurrency - Different users are concurrently accessing the resources from different locations. Scalability - The distributed operating system should be scalable to accommodate the increase service load.

Fault tolerance - The system should continue to function properly after the fault has occurred. One single component can be used for various requirements. To achieve this, AOSE is used. To make programming easier and maintaining reusability AOSE is used. AOSE supports the separation of concerns into independent elements is the benefit of it. The content and access are open to the public according to the "Open Access" and " Open Access " Atlantic International University initiative.

When the first digital computers appeared in the early s,[4] the instructions to make them operate were wired into the machine.

Practitioners quickly realized that this design was not flexible and came up with the "stored program architecture" or von Neumann architecture. Thus the division between "hardware" and "software" began with abstraction being used to deal with the complexity of computing. Programming languages started to appear in the s and this was also another major step in abstraction.

Dijkstra wrote his seminal paper, "Go To Statement Considered Harmful",[5] in and David Parnas introduced the key concept of modularity and information hiding in [6] to help programmers deal with the ever increasing complexity of software systems. Video Conference Lecture Materials. Other elements of extreme programming include: programming in pairs or doing extensive code review, unit testing of all code, avoiding programming of features until they are actually needed, a flat management structure, simplicity and clarity in code, expecting changes in the customer's requirements as time passes and the problem is better understood, and frequent communication with the customer and among programmers.

As an example, Code reviews are considered a beneficial practice; taken to the extreme, code can be reviewed continuously, i. Video Conference. In computer science, specifically software engineering and hardware engineering, formal methods are a particular kind of mathematically based techniques for the specification, development and verification of software and hardware systems.

At that time, Internet started to become popular and corporations were busy building up their intranet. This provided Advanced Software Engineering with lots of contracting opportunities to develop network management applications for its clients. Management applications invariably use a lot of charts. Available online in full-text through the Purdue Libraries. Sommerville, Ian. Software Engineering.