By Scott Ambler
The 1st e-book to hide Agile Modeling, a brand new modeling strategy created particularly for XP tasks severe Programming (XP) has created a buzz within the software program improvement community-much like layout styles did a number of years in the past. even though XP provides a technique for swifter software program improvement, many builders locate that XP doesn't let for modeling time, that is serious to make sure that a undertaking meets its proposed standards. they've got additionally stumbled on that ordinary modeling concepts that use the Unified Modeling Language (UML) usually don't paintings with this system. during this cutting edge publication, software program improvement columnist Scott Ambler provides Agile Modeling (AM)-a procedure that he created for modeling XP initiatives utilizing items of the UML and Rational's Unified approach (RUP). Ambler basically explains AM, and indicates readers find out how to comprise AM, UML, and RUP into their improvement initiatives with assistance from various case experiences built-in through the book.AM was once created via the writer for modeling XP projects-an aspect missing within the unique XP designThe XP neighborhood and its author have embraced AM, which should still supply this ebook robust industry acceptanceCompanion website at www.agilemodeling.com positive aspects updates, hyperlinks to XP and AM assets, and ongoing case reviews approximately agile modeling.
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Additional resources for Agile Modeling: Effective Practices for eXtreme Programming and the Unified Process
XP and AM ask that you let business people make business decisions, such as requirements’ prioritization, and let technical people make technical decisions, such as how the software will fulfill individual requirements. This takes courage. AM asks that you use the simplest tools possible, such as whiteboards and paper, and that you use complex modeling tools only when they provide the best value possible. This takes courage. AM asks that you not dally making your diagrams pretty in order to put off difficult tasks such as proving your models with code.
Another way to look at it is this: The point at which a model just barely fulfills its purpose is also the point of diminishing returns for that model. When you first work on a model you most likely have a sense of accomplishment because you’re thinking something through, gaining a better understanding of what you need to do, or gaining improved insight into how you should build it. As you continue to work, you get closer and closer to your goal for developing that model, whatever that goal is, until you finally get to the point where you’ve reached your target.
The nature of the project, the nature of the individual team members, and the nature of the organization will decide this. Sufficient accuracy depends on both the audience of the model and the issues that it’s trying to address. I was working on a project using Enterprise JavaBeans (EJB) (Roman et. al. 2002) technology and needed to explain how EJB’s invocation of entity beans worked. In the process of doing this I drew a sketch explaining how EJB’s concepts of home and remote interfaces worked and a couple of sketches walking people through the lifecycle of an entity.
Agile Modeling: Effective Practices for eXtreme Programming and the Unified Process by Scott Ambler