Amazon Technologies, Inc.

Keith H Anderson

Benjamin Ralph Hollis

John L Kenyon

Jill Edwards

Brad Reid

Michael V Zampani

Christopher Heino, Jr

Daniel D Allen

Examples of a continuous deployment system are provided that manage and track releases of software code, where some or all of the steps between check-in and deployment to production can be automated. Such systems can reduce the amount of developer effort needed to deploy a package, as developers may not have to be responsible for scheduling package builds, clicking deployment buttons, or manually running tests. The system can take care of all or some of that work.

Continuous deployment system for software development

Technologies are described herein for providing an automated reputation system for source code and software development personnel. Code quality metrics regarding code changes associated with a code artifact are automatically generated in response to development lifecycle events in a development environment. The code quality metrics are collected and utilized by a reputation engine to compute a code reputation score for the code artifact. The reputation engine may further utilize the collected code quality metrics to compute personnel reputation scores for one or more development personnel related to the code changes, such as developers, reviewers, testers, and the like. In addition, ratings regarding the code artifact may be received from development personnel in the development environment, and these ratings may be further considered in the computation of the code reputation score for the code artifact and the personnel reputation scores of the related development personnel.

Automated source code and development personnel reputation system

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Bainbridge Island, WA, United States of America

Keith H Anderson