For this reason, an important part of assessing your product or system availability must incorporate your repair and maintenance times. MIL-HDBK-472 has its roots in DoD applications but is the singular standard that has long been in place for optimal maintenance analysis across a broad range of industries worldwide. Both these concepts are quite deeply related, and are clubbed together under a single umbrella - maintainability. FD&I Outputs, or Fault Detection and Isolation Outputs, are the activities performed in order to detect and isolate a failed item. Maintainability Index (MI) [article cited from Wikipedia] Maintainability Index is a software metric which measures how maintainable (easy to support and change) the source code is. The maintainability testing shall be specified in terms of the effort required to effect a change under each of the following four categories: Corrective maintenance – Correcting problems. You can see how this can be crucial in areas such as keeping military aircraft able to fly, communication networks operating, or life-saving medical devices up and running. Maintenance activities can be corrective, meaning they are performed in order to fix a failure, or preventive, meaning they are performed in order to keep your system in good operating condition to avoid a fault. To a developer, maintainable code simply means “code that is easy to modify or extend”. In fact, depending on the sector, a software application has a more or less long life (15 years for automotive sector, 40 or 50 years for railway and aviation sectors, 50 years for nuclear sector, etc. In fact, Maintainability Predictions are most useful when used throughout your entire product lifecycle and even into next-gen product development. For your systems, the steps required to replace the motherboard will be the same all the time – perhaps opening up a case, removing some screws or clips, swapping the board, and then closing the case back up. It is difficult to achieve this goal without measurable statistics. For example, if a system fails but can be repaired quickly, then system uptime, or availability, is high. tains 1. Fresh on the heels of[...]. Measuring software maintainability is non-trivial and there exists no single metric to measure it accurately. Maintenance Groups define how a repair action is performed on a group of items, rather than on a single item. Your email address will not be published. Reliable plants are safer plants as well–when reliability metrics go up, safety incident metrics tend to go down. 2. 3. Maintainability has two categories: serviceability (the ease of conducting scheduled inspections and servicing) and repairability (the ease of restoring service after a failure).”. We need to keep pace with all the new technological innovations, as well as new methodologies in industries. One of the main advantages of Maintainability Predictions is that they can be performed during the product design stage, enabling you to preview likely maintainability metrics. By improving usability and increasing performance, you can quickly gain an early advantage over sluggish competitors that are still firefighting software bugs of past and present. Maintainability has two categories: serviceability … Maintainability is an important aspect in overall system continuous improvements efforts, along with reliability, safety, and other factors vital to overall product viability. Maintainability is the measure of how quickly and easily a product or system can be repaired in order to return to an operating state after a failure has occurred. Maintainability Predictions can help in evaluating all these factors and provide insight to enable you to improve. Maintainability definition: the facility with which something can be maintained | Meaning, pronunciation, translations and examples A Maintainability Prediction analysis uses mathematical equations to determine maintainability metrics. When a system has high maintainability, it is easier to make improvements in the other quality areas, such as fixing a security bug. Maintainability is a multifaceted quality attribute - each of the facets must be analyzed to objectively measure it. This is a very important parameter as the system is subjected to changes throughout the software life cycle. It can be especially difficult in the design stage of the product lifecycle to assess repair metrics when actual production has not yet started. Just a few of the numerous design considerations are standardization, accessibility, and modularity. Along with this basic task, you assign the time it takes to perform the task. Extensibility of a system describes how easy it is to incorporate new features into it. Adaptive maintenance includes the environmental changes where your software is living. SonarQube helps you find your Code Smells and understand what’s wrong. There are a number of components in performing a Maintainability Prediction analysis based on MIL-HDBK-472 methodology: Maintenance Tasks, Maintenance Task Groups, FD&I Outputs, and Maintainability Groups. As a result, we’ll be writing a series of articles to introduce you to some key concepts in reliability and Maintainability.. maintainability The ability of an item, under stated conditions of use, to be retained in or restored to a state in which it can perform its required functions, when maintenance is performed under stated conditions and using prescribed procedures and resources. Relyence Maintainability Prediction allows you to define your maintenance activities by Tasks, Task Groups, or FD&I Outputs. The calculations are based on the tasks needed to complete a maintenance activity and their associated times. recorded webinar on maintenance, maintainability, organizational learning, and continuous improvement. US Department of Defense 2005. Again according to the American Society of Quality, maintainability is defined as “the probability that a given maintenance action for an item under given usage conditions can be performed within a stated time interval when the maintenance is performed under stated conditions using stated procedures and resources.” Good relations as MTTR software tools respect to safety is essential R & M engineering... Library of these basic tasks and then reuse them within your analysis: computing maintenance metrics series! Delivered straight to your inbox time needed to repair ) is the most important attribute after safety as! Without measurable statistics a basic task the system is up and running your overall is. 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