Executability
Executability refers to the degree to which a process, plan, or code can be performed or implemented effectively and without errors. It encompasses the ease with which instructions are followed, the completeness of the necessary components, and the capacity of the system to produce the desired outcomes. High executability indicates a straightforward path from initiation to completion, whereas low executability suggests challenges in implementation due to design flaws, insufficient resources, or unclear instructions. It's a crucial aspect of project management, software development, and task planning.
Executability meaning with examples
- The project manager prioritized tasks with high executability to ensure immediate progress. They focused on well-defined, easily achievable milestones to maintain momentum and reduce the risk of delays. The clarity of the tasks and availability of resources were key considerations when assessing each action's potential for successful and prompt execution.
- Software developers rigorously test their code to improve executability. They eliminate bugs and refine the program's logic to ensure smooth operations and prevent unexpected errors. Code that is highly executable is well-documented, easy to understand, and functions as expected under various conditions. This saves time and resources.
- A poorly defined business plan lacks executability; vague strategies and unclear objectives make it difficult to implement. A plan with high executability, on the other hand, outlines clear steps, allocates resources efficiently, and establishes measurable targets for success. Therefore, ensuring its executability increases chances of reaching business goals.
- The new policy was praised for its high executability because it included simple guidelines. It provided step-by-step instructions that were easily understood by all personnel. Training materials and readily available support further ensured a successful rollout and minimized employee confusion or difficulties with execution.
- When assessing a complex scientific experiment, researchers will prioritize the experiment's executability. They will look to minimize potential areas of confusion and ensure all necessary equipment and reagents are readily available. The research will have high executability if it is easily replicated and performed across multiple teams and researchers.