SOFTWARE DEFECT TRACKING

Patent №

US 8,615,741

Granted

2013-12-24

Filed 2009

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

4

ml · nlp · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12647271

An apparatus, system, and method are disclosed for improved tracking of software item defects. The approach involves maintaining defect attributes for a particular software bug. Certain attributes are user-defined while others are derived. Attributes may be, for example, questions, requests for action, requests for approval, or others. The primary attributes and derived attributes for the bug are associated with users that are associated with the software bug, and a determination is made as to whether or not action is required by the individual users for the software bug using the attributes. If action is required, the user is alerted that action is required for the software bug. The actions and/or bugs may be presented to the user using an inbox format. The inbox may sort actions based on priority, what type of attribute is relevant to the user, or using other categorizations.

AI classification

Planning1.00
Knowledge representation1.00
Machine learning0.99
Natural language0.66
AI hardware0.25
Evolutionary computation0.03
Speech0.01
Vision0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 239860654

Assignors

HUDSON, THOMAS R.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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