Task association analysis in application maintenance service delivery

US9575799B2 · kind B2 · utility

Assignee

• International Business Machines Corporation · US

Inventors

• Shivali Agarwal · Ghaziabad, IN
• Yi-Min Chee · Briarcliff Manor, US
• Hao Chen · Beijing, CN
• Ya Bin Dang · Beijing, CN
• Feng Li · Beijing, CN
• Shao Chun Li · Beijing, CN
• Rong Liu · Selden, US
• Renuka R. Sindhgatta · Bengaluru, IN
• Xin Zhou · Shanghai, CN

Key dates

• Filing date: Jul 11, 2014
• Grant date: Feb 21, 2017
• Expiry date: Jan 28, 2035

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q10/06316
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Analyzing task associations may compute artifact associations for a plurality of artifacts based on historical task submission logs. From the computed artifact associations, shared artifacts that have artifact association with targeted artifacts that are associated with planned tasks, may be determined. Task association between the planned tasks may be identified based on the shared artifacts. Task associations may be analyzed to determine one or more of task assignment and task schedule for the planned tasks.