Abstract: A method for automatically modeling a codebase to facilitate management and analytics is provided. The method includes automatically aggregating a data set, the data set including data that correspond to a codebase; identifying, from the data set, entities and corresponding attributes, the entities relating to a component of the codebase; establishing, by using the data set, a relationship for the entities, the relationship corresponding to an interaction between each of the entities; determining a potential owner for each of the entities based on a corresponding change history; defining, by using the data set, an ownership rule for each of the entities, the ownership rule associating the potential owner to the corresponding entities; and computing an actionable item for each of the entities based on the corresponding attributes.

Abstract: A method and a system for applying a machine learning model that uses an artificial intelligence technique to determine that a software code commit is risky and therefore likely to result in a production issue and to provide an explanation for the risk are provided. The method includes: receiving a first code commit; analyzing the first code commit in order to determine features that relate to the first code commit; applying a machine learning model that uses an artificial intelligence technique to project a result of executing the first code commit; assessing whether the first code commit is risky based on an output of the machine learning model; and when the first code commit is assessed as being risky, determining an explanation that relates to the assessment.

Abstract: A method for automatically modeling a codebase to facilitate management and analytics is provided. The method includes automatically aggregating a data set, the data set including data that correspond to a codebase; identifying, from the data set, entities and corresponding attributes, the entities relating to a component of the codebase; establishing, by using the data set, a relationship for the entities, the relationship corresponding to an interaction between each of the entities; determining a potential owner for each of the entities based on a corresponding change history; defining, by using the data set, an ownership rule for each of the entities, the ownership rule associating the potential owner to the corresponding entities; and computing an actionable item for each of the entities based on the corresponding attributes.

Abstract: A portable board game that allows the player to journey through different terrains, providing a fun and educational foundation for learning all types of information with a unique game board; the Multi-layered game board allows for choice within the gaming experience. The polarities of game components all have a secure, designated spot within the board game case. This platform provides an addition outlet for absorbing information while having fun at the same time.

Abstract: A method of knitting an elastic drawcord product and an elastic band and drawcord composite product are described. The method involves knitting a pair of elastic webs in a laterally spaced relationship to each other, and securing a drawcord within the space between the elastic webs by way of first and second tying yarns. The first tying yarn reciprocates across the space between the first and second elastic webs and is alternatingly secured to the side edges thereof along the front face of the elastic webs. The second tying yarn reciprocates across the space between the first and second elastic webs and is alternatingly secured to the side edges thereof along the rear face of the webs, and the drawcord is secured between the two elastic webs and the first and second tying yarns.