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Unit 3. The Design of System Architecture -. Component based software -Principle technologies examples. Component Based Development -. Component Based Software Engineering -. Software Engineering — Introduction -. Towards Component-based Systems Stephen E. It is about the incredibly powerful human ability to reflect on what we are doing.
Bringing this capability to our modeling languages, we can create languages able to express their own definitions. But, with real semantic formalization, we also open up the possibility of creating tools that can reflect on the very models they are being used to create. What might this mean for the next generation of modeling languages and tools? In this talk we will go meta, reflect on reflection and try to figure it out. Currently, he is also an adjunct professor at Monash University and the University of Sydney in Australia.
With over 40 years of practical experience in designing and implementing large-scale industrial software systems, Bran has pioneered the application of model-based engineering methods and has led the definition of several international standards in that domain, including the widely used Unified Modeling Language UML.
Specifically, object-oriented programming provided an alternative to the traditional algorithm-driven model of software by representing a software program primarily as a network of collaborating specialized modules i. This in turn has led to a number of new theoretical models of computing that exploit the relative simplicity of this representation. This engine is ultimately rooted in hardware, but, there can be numerous layers between the hardware and the components, each one presenting a realizing its own engine to the software it supports.
As explained in this talk, the influence of these oft-neglected platform layers can have a fundamental impact on the design and operation of a component-based software system. A closer examination of the interrelationship between a component and its underlying platforms NB: in practice there is never just one platform! In this talk, we outline how component-based models of computing must be refined to account for these effects to ensure that software component systems fulfill their functional and engineering requirements. Implementing a component requires defining the data structures reciprocal to attributes and the algorithms corresponding to operations of that component.www.theashcigars.com/wp-content/4044.php
It is also necessary to implement the control flow that realizes the interaction between components and specify the overall software behaviour. The best idea is to isolate a component and decide whether a match can be reused, or if it has to be implemented from scratch. Maintenance: During software maintenance, changes are introduced to a delivered software system.
Such changes are not meant only for correcting errors occurred during operational software. These changes may be also for enhancing, updating the system to anticipate future errors or adapting the system in response to a modification in the environment. After changes are introduced to the system, an updated release of the software is generated. During the maintenance phase, software components may be accessed from, as well as new ones may be added to the reusable library of the concerned application domain.
For instance, a change to adapt the software to a new environment may specialize already existing component, so that characteristics of the new environment are taken into consideration, hence expanding the spectrum of environments the reusable components are able to deal with. The input, tasks performed and output of each phase, which evolves dynamically as the understanding a software engineer has about the system grows Table 1.
The phases are traceable during software construction and evolution, as well as determine a component-based software life cycle model. Mechanisms prevalent in each life cycle phase: The most frequently used mechanisms in each phase of the software life cycle model are pointed out in Table 2. These mechanisms are part of the abstraction process inherent to software development. The results are based on the development of a generic graphical interface for CASE environments.
The system analysis phase emphasizes arrangement of high-level concepts in a real-world application and decomposition of the software system. Several mechanisms are relevant to the domain analysis stage, but specialization, generalization and composition are vital to achieve reusability. In the design phase all mechanisms are fundamental. During the implementation and maintenance phases, almost all mechanisms are essential except decomposition, since at these latter stages the foremost partition of the software have been done.
Percentage of time per each development stage: Although it is difficult to draw distinct lines between two adjacent phases, Figure 5 indicated an approximate percentage of the amount of time likely to be spent on each phase for a complete development of a system. These statistics have been taken from the construction of a few software systems. Despite the system analysis, design and implementation phases being deeply interrelated, it is clear that the design phase takes longer because most of the tasks are done during such a phase.
Domain analysis is relevant to discover potentially reusable components during software production. Consequently, the amount of time spent on this phase, naturally, must not be longer than that spent on other phases.
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If the perceived cost of finding a certain component is higher than the cost of creating a new component from scratch, then all hope for reuse is lost. For this reason, it is important to have at least minimal library tools that allow software engineers to quickly select and add reusable components as they are identified. Although maintenance accounts for the majority of software costs, it is not included in Fig.
It is felt that the basic reuse issues that the software development model encourages forms a useful basis for supporting software development and evolution.
Models and Frameworks: A Synergistic Association for Developing Component-Based Applications
One great advantage of this software process model is the conceptual continuity across all phases of the software life cycle. Not only do the software concepts remain the same from system analysis down through implementation and maintenance, but they also stay uniform during the refinement of a design. Therefore, when the described model is employed, the design phase is linked more closely to the system analysis and the implementation phases because software engineers have to deal with similar abstract concepts throughout software construction and evolution.
During the system analysis and domain analysis phases, user needs, software requirements, functionalities, objectives and constraints of the system are very much of interest. Thus, it is important to understand the real-world application and an abstract model of that application should be achieved.
When the design phase is entered, the abstractions are refined. The design process should stop when the key generic abstractions and the software behaviour are detailed enough to be translated into a programming language. Thus, the design phase generates the templates for the implementation stage. A software system is not merely produced out of reusable components.
On the contrary, usually, components selected and derived from reusable libraries are combined with newly written components and all of them have to be bound together in the final software. It is natural that with some of the components, the software designer will face the decision of whether to reuse them straightforwardly, adapt them and reuse, or write them from scratch. The break-even-point of reusing versus redoing lies where the cost of search plus adaptation exceeds the cost of producing the respective piece of software.
Boehm, B. A spiral model of software development and enhancement. Computer, Capretz and D. Li, Component-based software development. Cusumano, M. Selby, How microsoft builds software. ACM Commun. Component-based framework for E-commerce. Edwards, The object-oriented systems life cycle. Component broker. Object Management Group, The common object request broker architecture.
Royce, W. Managing the development of large software systems: Concepts and techniques. California, USA. SUN, Enterprise java beans. Information Technology Journal Volume 3 2 : , How to cite this article: L. Capretz , Information Technology Journal, 3: DOI: Adapting specializing, generalizing, composing or adjusting the components to satisfy the needs of the developing software system. An identical match between the target and an available component is reached. Have a reasonable performance in terms of time and space required to execute its operations. Be a generic abstraction, which means that the functionality it provides must be sufficient enough to model the real-world entities abstracted.
Have a robust behaviour if it is misused or pushed to its limits, that is, exceptions must be handled.