Are too many bugs making it into your software releases? Are quality issues causing project delays, and escalating development costs?

Learn how you can improve software quality, and save significant costs by finding defects earlier in the development process. Impact Analysis allows developers to better comprehend complex software systems, and assess the impact of changes to code before they are implemented.

If you are unable to answer these questions for any of your software projects, read this white paper and discover why Impact Analysis should be part of your SCM solution.

This paper discusses how software projects following different processes, which display disparate characteristics, have been categorized and analyzed using statistical techniques to measure and improve process capability. The analysis shows that language type, size of the application and complexity (represented by ratio of Total Project Effort to Build Phase Effort) are the predominant discriminating factors affecting quality and process parameters. Categorization done based on this stratification scheme results in minimum variation within the group concerned. Such logical grouping also facilitates meaningful comparison of a project performance with almost similar historical data.

So, you want to improve the quality of the testing done by your organization? The test quality improvement journey has several aspects to consider: the identification of improvement actions, which improvement action to start with and how to continue to improve. This document focuses on those improvement actions and ways to implement and improve on an existing set of good practices.

This paper talks about the best tool for designing the star as well as the snowflake schemas. It discusses how to analyze the business and develop the requirements to the implementation of a data warehouse.