Software Evolution and Maintenance

<p>Their availability affects the efficiency of reengineering. (C)</p> Signup and view all the answers

<p>Refactoring the program for better maintainability. (C)</p> Signup and view all the answers

<p>It creates disincentives for writing maintainable software. (C)</p> Signup and view all the answers

<p>Maintenance requires several experienced staff. (C)</p> Signup and view all the answers

<p>Degradation of the program structure over time. (C)</p> Signup and view all the answers

<p>Utilizing outdated programming languages for new features. (B)</p> Signup and view all the answers

<p>New teams must first understand existing systems. (C)</p> Signup and view all the answers

<p>They often work on systems built with obsolete technologies. (D)</p> Signup and view all the answers

<p>Higher likelihood of introducing new bugs. (D)</p> Signup and view all the answers

<p>Adopting structured programming practices. (D)</p> Signup and view all the answers

<p>It makes it harder to introduce changes to the system. (D)</p> Signup and view all the answers

<p>It allows for a seamless transition from development to evolution. (D)</p> Signup and view all the answers

<p>Making only essential changes like bug fixes. (D)</p> Signup and view all the answers

<p>Only essential changes are maintained, with no updates for new functionality. (B)</p> Signup and view all the answers

<p>If they have sufficient expertise to manage evolution themselves. (B)</p> Signup and view all the answers

<p>The software is removed from use and often incurs costs for replacement. (C)</p> Signup and view all the answers

<p>Potential discontinuities in the evolution process. (A)</p> Signup and view all the answers

<p>When the software can no longer support essential operational requirements. (C)</p> Signup and view all the answers

<p>Inconsistent requirements, design, and code (C)</p> Signup and view all the answers

<p>Incremental development allows for seamless transition from development to evolution (D)</p> Signup and view all the answers

<p>Accelerated program degradation (B)</p> Signup and view all the answers

<p>Expectations for detailed documentation not being met (D)</p> Signup and view all the answers

<p>They are valuable when changes are made to ensure code quality (D)</p> Signup and view all the answers

<p>Development and evolution are interconnected and continuous (A)</p> Signup and view all the answers

<p>Disagreement on the documentation standards (A)</p> Signup and view all the answers

<p>Higher chances of software aging (A)</p> Signup and view all the answers

<p>Increased risk of system inconsistency (D)</p> Signup and view all the answers

<p>Maintenance of older systems can be hindered by their complexity. (C)</p> Signup and view all the answers

<p>The software structure may become corrupted, complicating future maintenance. (D)</p> Signup and view all the answers

<p>It emphasizes understanding the existing program to make changes. (A)</p> Signup and view all the answers

<p>Enhance the software's structure without changing its functionality. (D)</p> Signup and view all the answers

<p>Implementing entirely new functional requirements (A)</p> Signup and view all the answers

<p>Maintaining software is crucial for the longevity of systems. (B)</p> Signup and view all the answers

<p>A continual development process is essential for software evolution. (C)</p> Signup and view all the answers

<p>It may result in outdated technologies becoming integrated. (D)</p> Signup and view all the answers

<p>Considering systems as part of a continuous development process. (A)</p> Signup and view all the answers

<p>They may contain outdated structures and coding practices. (B)</p> Signup and view all the answers

A software development model where the same company is responsible for the entire software lifecycle, including development and evolution.

Software development model used when the same company doesn't handle the entire lifecycle, like in customized software.

The stage where software is in active use and changes are made to meet new requirements.

The stage where software is still operational but only essential changes (like bug fixes) are made.

The stage where the company considers replacing the software.

The stage where the software is no longer used.

The process of transitioning from an old software system to a new one.

Changes to a software system after its initial release. It involves maintaining, enhancing, and adapting the system to meet evolving requirements and address issues.

Changes to a software system that are made urgently to fix a critical problem or address an immediate need. These changes are often unplanned and may not adhere to best practices due to time constraints.

The potential for software to degrade over time if code changes are not done systematically. This happens when quick fixes are made without considering the long-term impact on system structure and quality.

A development methodology that emphasizes iterative development, frequent releases, and continuous improvement. It's well-suited for managing changes and evolving software systems.

The seamless transition from developing a software system to maintaining and evolving it. Agile methods contribute to this by fostering continuous development and adaptation.

The process of re-structuring and cleaning up code after changes are made to improve its quality, readability, and maintainability. It's essential to minimize the risk of software degradation.

The challenges that arise when a development team using an agile approach hands over a system to an evolution team that follows more traditional plan-based methods. This can lead to misunderstandings and difficulties in managing changes.

In agile methods, TDD (Test-Driven Development) involves writing automated tests before writing code. This is valuable in software evolution because it ensures that changes made don't break existing functionality.

Automated regression testing is a critical part of software evolution. It involves running a suite of tests to ensure that recent changes haven't introduced errors into the existing software.

The process of modifying a software system after it has been delivered to the user.

The cost incurred in maintaining a software system, including fixing bugs, adding new features, and adapting to changes.

Adding new features to an existing software system after it has been delivered.

Fixing bugs or errors in a software system.

Adapting a software system to changes in the environment, such as new operating systems or hardware.

Maintaining software to improve its performance, reliability, or security.

The cost of adding new features during maintenance is often higher than during development.

Good software engineering practices help reduce maintenance costs.

The process of ensuring that a software system can be easily maintained.

A new team needs to understand the existing codebase before making changes.

Factors that influence software maintenance costs, including technical aspects like code complexity and non-technical aspects like user needs and business changes.

A method of improving the structure and understandability of older software systems without changing their functionality.

An increase in software maintenance costs over time, as changes accumulate and make the software more complex.

The process of re-documenting a software system, refactoring its architecture, translating programs to a modern language, and updating its data structure.

A strategy to maintain software by considering it as an ever-evolving entity, integrating development and maintenance practices.

Prioritizing maintenance activities on par with new software development, acknowledging its importance for long-term software success.

The practice of avoiding major changes to the architecture of a software system during maintenance, to minimize the impact on its structure and future maintenance.

The process of improving existing software to make it more understandable, less complex, and easier to maintain. It aims to slow down degradation caused by changes.

Relocating related parts of a program together to improve structure and reduce redundancy. This can involve combining separate databases into one or adjusting code organization.

This involves updating data schemas, migrating data between systems, and cleaning up inconsistencies like duplicate records. It's essential for maintaining data quality during software evolution.

Refactoring is like preventative maintenance for software. It helps prevent problems from emerging as the system evolves by improving its structure and clarity.

The cost of reengineering depends on factors such as the software's initial quality, the availability of tools and expert staff, and the extent of data conversion required.