Release Analytics and Monitoring
Expert-defined terms from the Masterclass Certificate in AI-Driven Release Management course at Greenwich School of Business and Finance. Free to read, free to share, paired with a globally recognised certification pathway.
Agile Methodology #
A project management and product development strategy that is centered around continuous releases and improvements, involving cross-functional teams working in short sprints to deliver functional features.
Artificial Intelligence (AI) #
The simulation of human intelligence in machines that are programmed to think like humans and mimic their actions, including learning, reasoning, problem-solving, perception, and language understanding.
Automated Testing #
The use of software tools and scripts to execute and evaluate tests on a software application, without human intervention, to ensure that the software functions as intended and to identify any defects or issues.
Continuous Integration (CI) #
The practice of integrating code changes from multiple developers into a shared repository frequently, often several times a day, to ensure that the codebase remains stable and functional, and to identify and resolve any integration issues early.
Continuous Deployment (CD) #
The practice of automatically deploying code changes to a production environment after they have passed all necessary tests and reviews, without any manual intervention, to ensure fast and efficient delivery of new features and updates.
DevOps #
A set of practices that combines software development (Dev) and IT operations (Ops) to improve collaboration, communication, and integration between development and operations teams, with the goal of accelerating the delivery of software applications and services.
Failure Rate #
The number of failures or defects in a software application, divided by the total number of opportunities for failure, expressed as a percentage. A high failure rate indicates poor quality and reliability, while a low failure rate indicates high quality and reliability.
Incident Management #
The process of identifying, analyzing, and resolving incidents or events that disrupt or negatively impact a software application or service, to minimize the impact on users and restore normal operations as quickly as possible.
Iterative Development #
A development approach that involves breaking down a software application into smaller, manageable pieces or iterations, and developing and delivering each iteration incrementally, allowing for continuous feedback and improvement.
Kanban Board #
A visual project management tool that displays the status and progress of tasks or work items on a board, using cards and columns to represent different stages or workflows, to facilitate transparency, collaboration, and communication among team members.
Mean Time Between Failures (MTBF) #
A reliability metric that measures the average time between failures in a software application or system, indicating the expected time between failures and the overall reliability and availability of the system.
Mean Time To Recovery (MTTR) #
A reliability metric that measures the average time it takes to recover from a failure or defect in a software application or system, indicating the speed and efficiency of the incident management and recovery processes.
Performance Monitoring #
The process of continuously monitoring and analyzing the performance and behavior of a software application or system, to ensure that it meets the desired performance goals and to identify and resolve any performance issues or bottlenecks.
Regression Testing #
The process of retesting a software application after changes or updates have been made, to ensure that the existing functionality has not been affected or broken, and that the application still meets the desired quality and reliability standards.
Release Analytics #
The use of data and analytics to monitor, measure, and optimize the software release process, including tracking and analyzing key performance indicators (KPIs) such as lead time, cycle time, failure rate, MTBF, and MTTR, to identify trends, patterns, and opportunities for improvement.
Release Management #
The practice of planning, coordinating, and controlling the software release process, including managing changes, configurations, and dependencies, to ensure that the software is delivered efficiently, reliably, and securely, and that the desired business outcomes are achieved.
Release Orchestration #
The process of automating and coordinating the various activities and tasks involved in the software release process, including build, test, deploy, and release, to ensure smooth and efficient delivery of software updates and features.
Risk Management #
The practice of identifying, analyzing, and mitigating risks or uncertainties that may impact the software release process, including technical, security, compliance, and business risks, to ensure that the software is delivered on time, within budget, and with the desired quality and reliability.
Scrum #
A framework for Agile development that involves breaking down a software application into smaller, manageable pieces or sprints, and using cross-functional teams to develop and deliver each sprint incrementally, with frequent feedback and adjustments.
Test Automation #
The use of software tools and scripts to automate the execution and evaluation of tests on a software application, without human intervention, to ensure that the software functions as intended, and to identify and resolve any defects or issues in a timely and efficient manner.
Test Case #
A specific scenario or set of steps that are used to test a software application, including the expected input, output, and behavior, to ensure that the application functions as intended and meets the desired quality and reliability standards.
Test Plan #
A detailed document that outlines the scope, objectives, approach, resources, and schedule for testing a software application, including the specific test cases, test scenarios, test environments, and test data, to ensure that the application meets the desired quality and reliability standards.
Test Suite #
A collection of test cases that are used to test a software application, often organized by functionality, feature, or requirement, to ensure that the application meets the desired quality and reliability standards.
Version Control #
The practice of managing and tracking changes to a software application or codebase, using a version control system or tool, to ensure that the software is developed and delivered efficiently, reliably, and securely, and that the desired business outcomes are achieved.
Waterfall Model #
A linear, sequential development approach that involves breaking down a software application into distinct phases or stages, and completing each phase before moving on to the next, to ensure that the software is developed and delivered in a structured and controlled manner.