Productivity
Testing
I mentioned in my last post on project data and analytics that testers and other project professionals certainly use data generated through various tools in helping us determine application quality, our progress to schedule, and to track defects, for example. But the organization of the data and our inability to ask the right questions prevents us from deeply understanding our software. Why is it so important that we understand our data beyond a few graphs and charts? The reason is that many projects fail altogether and are cancelled. Many more don’t achieve all of their important objectives. One of the ...