"An attribute of a component or system specified or implied by requirements documentation (for example reliability, usability or design constraints). (IEEE 1008)
"A product capability or attribute that fulfills a specific customer or market need and provides an appropriate benefit. A mobile device battery with a long life (the feature) meets the need of a customer who uses their portable device for communicating and Web browsing (needs)." (Steven Haines, "The Product Manager's Desk Reference", 2008)
[features:] "The specific attributes of a product or service." (Gina Abudi & Brandon Toropov, "The Complete Idiot's Guide to Best Practices for Small Business", 2011)
"Feature is used in data science and machine learning contexts for both “raw” or observable variables and “latent” ones, extracted or constructed from the original set." (Robert J Glushko, "The Discipline of Organizing: Professional Edition" 4th Ed, 2016)
"A distinctive factual attribute of a product or service." (Pamela Schure & Brian Lawley, "Product Management For Dummies", 2017)
"An aspect of system state (e.g., audit logs, network activity) that can be monitored for potential use in the detection of some phenomena of interest, such as an attack on a target system." (O Sami Saydjari, "Engineering Trustworthy Systems: Get Cybersecurity Design Right the First Time", 2018)
"A distinguishing characteristic of a software item (e.g., performance, portability, or functionality)." (IEEE 829)
"In a machine learning context, a feature is an attribute of an input, especially a numerical attribute. For example, if the input is a document, the number of unique tokens in the document is a feature. The words present in a document are also referred to as features." (Alex Thomas, "Natural Language Processing with Spark NLP", 2020)
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