Hackers are going to probe your system looking for weak spots and holes. What will they find? Learn how to uncover your own security vulnerabilities before the bad guys do.

Get the software engineering slant on items from the recent news.
 

Politics is a game we're asked to participate in each and every day. But when your project's future is on the line, do you want to play around? The penalties and risks surely outweigh any reward. Discover how to extricate yourself from these losing battles.

No matter how well we plan and execute software development, defects are generated and can escape to the customers. Failure to quickly resolve software problems leads to negative consequences for our customers and increases internal business costs. A quick deterministic
method to prioritize problems and implement their solution helps to reduce cycle time and costs. Achieving this goal requires several steps. The first is to determine a model that links problem resolution performance to institutional variables and problem characteristics. Statistical Design of
Experiments (DOE) is a tool that provides data requirements for estimating the impacts of these variables on problem resolution. Once data has been gathered, the results of statistical analysis can be input into a mathematical optimization model to guide the organization.
This paper describes such an analysis.