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Concept
Software evolution
Summary
Software evolution is the continual development of a piece of software after its initial release to address changing stakeholder and/or market requirements. Software evolution is important because organizations invest large amounts of money in their software and are completely dependent on this software. Software evolution helps software adapt to changing businesses requirements, fix defects, and integrate with other changing systems in a software system environment.
Fred Brooks, in his key book The Mythical Man-Month, states that over 90% of the costs of a typical system arise in the maintenance phase, and that any successful piece of software will inevitably be maintained.
In fact, Agile methods stem from maintenance-like activities in and around web based technologies, where the bulk of the capability comes from frameworks and standards.
Software maintenance addresses bug fixes and minor enhancements, while software evolution focuses on adaptation and migration.
Software technologies will continue to develop. These changes will require new laws and theories to be created and justified. Some models as well would require additional aspects in developing future programs. Innovations and improvements do increase unexpected form of software development. The maintenance issues also would probably change as to adapt to the evolution of the future software. Software processes are themselves evolving, after going through learning and refinements, it is always improve their efficiency and effectiveness.
The need for software evolution comes from the fact that no one is able to predict how user requirements will evolve a priori .
In other words, the existing systems are never complete and continue to evolve. As they evolve, the complexity of the systems will grow unless there is a better solution available to solve these issues. The main objectives of software evolution are ensuring functional relevance, reliability and flexibility of the system. Software evolution can be fully manual (based on changes by software engineers), partially automated (e.
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