Software Engineering Lab

Course Description: 

This lab deals with the analysis and design of a software problem .the tool used in a lab is Argo UML / Rational  Rose Enterprise Edition .This tool is used  for a object oriented design of a problem . We draw a uml diagram which deals with the objects and classes in a system .The Unified Modeling Language or UML is is a mostly graphical modelling language that is used to express designs.  It is a standardized language in which to specify the artifacts and components of a software system.  It is important to understand that the UML describes a notation and not a process.  It does not put forth a single method or process of design, but rather is a standardized tool that can be used in a design process.

The Unified Modeling Language (UML) is a standard  language for specifying, visualizing, constructing, and documenting the artifacts of software systems, as well as for business modeling and other non-software systems. The UML represents a collection of best engineering practices that have proven successful in the modeling of large and complex systems.1   The UML is a very important part of developing object oriented software  and  the  software  development  process.   The  UML  uses  mostly  graphical notations to express the design of software projects.  Using the UML helps project teams communicate, explore potential designs, and validate the architectural design of the software.

Goals: 

The primary goals in the design of the UML were:

Provide users with a ready-to-use, expressive visual modeling language so they can develop and exchange meaningful models. Provide extensibility and specialization mechanisms to extend the core concepts. Be independent of particular programming languages and development processes. Provide a formal basis for understanding the modeling language. Encourage the growth of the OO tools market. Support higher-level development concepts such as collaborations, frameworks, patterns and components. Integrate best practices.

Why use UML? 

As the strategic value of software increases for many companies, the industry looks for techniques to automate the production of software and to improve quality and reduce cost and time-to-market. These techniques include component technology, visual programming, patterns and frameworks. Businesses also seek techniques to manage the complexity of systems as they increase in scope and scale. In particular, they recognize the need to solve recurring architectural problems, such as physical distribution, concurrency, replication, security, load balancing and fault tolerance.