Predicting Software Outcomes Using Data Mining and Text Mining

TechWeb Digital Library > Business Intelligence > Data Mining >

Predicting Software Outcomes Using Data Mining and Text Mining

Source: SAS Institute

Date: January 2008

Type: White Paper

Rating:

(0)

DOWNLOAD NOW!

Overview: Organizations spend a major portion of their Information Technology budget on software maintenance. This paper from SAS Institute presents a predictive model for the maintenance outcomes of the software projects. It also identifies the factors that affect software maintenance outcomes. This paper builds the model using Data Mining (DM) techniques on Open Source Software (OSS) project data. Use the public access to the data archives of over 100,000 projects hosted by SourceForge.net (SF). Use prior research in software engineering to identify the initial set of variables used in the model building process.

Click here to download now

View all content from this source

Not what you’re looking for? Search again

More From the Data Mining Section

More Business Intelligence Resources

Content Everywhere: 10 Gotchas That Can Derail Your ECM Initiative
Enterprise content management deployments are fraught with dangers, such as weak search capabilities and poor requirements definitions, that can grind...

Impact Business Performance with BPM
To maximize your chances for success, you need the ability to continually optimize, streamline and align business processes to meet changing business needs for greater performance. Business process management (BPM) from IBM can help.

Upcoming Webcasts