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Make it easier to add new code When we add a new feature to a system, we have a choice: we can quickly program the feature without regard to how well it fits with an existing design, or we can modify the existing design so it can easily and gracefully accommodate the new feature If we go with the former approach, we incur design debt (see Design Debt, 15), which can be paid down later by refactoring If we go with the latter approach, we analyze what will need to change to best accommodate the new feature and then make whatever changes are necessary Neither approach is better than the other If you have little time, it may make more sense to quickly add the feature and refactor later If you have more time or you perceive that you'll go faster by paving the way for the feature prior to programming it, by all means refactor before adding the feature Improve the esign of existing code By continuously improving the design of code, we make it easier and easier to work with This is in sharp contrast to what typically happens: little refactoring and a great deal of attention paid to expediently adding new features Continuous refactoring involves constantly sniffing for coding smells (see 4, 37) and removing smells immediately after (or soon after) finding them If you get into the hygienic habit of refactoring continuously, you'll find that it is easier to extend and maintain code You may even enjoy your job more Gain a better understanding of code Sometimes we look at code and have no idea what it does or how it works Even if someone could stand next to us and explain the code, the next person to look at it could also be totally confused Is it best to write a comment for such code No If the code isn't clear, it's an odor that needs to be removed by refactoring, not by deodorizing the code with a comment When we refactor such code, it is usually best to do so in the presence of someone who fully understands the code If that person isn't available, see if he or she can help explain the code by e-mail, chat, or phone Failing that, refactor only what you truly understand In the end, your efforts will make it easier for everyone to understand the code Make coding less annoying I've often wondered what propels me to refactor code Sure, I can say that I refactor to remove duplication, to simplify or clarify the code But what actually propels me to refactor Emotions I often refactor simply to make code less annoying to work with For example, I once joined a project that had some significant design debt In particular, there was one enormous class with way too many responsibilities Because much of what we did involved changing this enormous class, every time we checked in code (which was often, since we practiced continuous integration), we would have to deal with a complex merge involving the enormous class As a result, everyone took longer than necessary to integrate code This was very annoying So another programmer and I set off on a three-week odyssey to break apart the enormous class into smaller classes It was hard work that just had to be done When we finished this work, integrating code took far less time and the overall programming experience was much more pleasant.



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Blue-White-Red is a simple Agile system, invented by Liz Sedley and myself, for a London company that was transitioning to Agile development The system was mainly derived from XP with Scrum in uence and was modi ed as we went along The whole system revolved around a large magnetic white board, upon which index cards were placed to represent work The cards themselves were blue, white or red The board was marked with information such as the iteration deadline and a record of how much work had been done in previous iterations, and was divided into four columns: work to do, in progress, waiting for test and completed work Product managers still produced Product Requirements Documents (PRDs) Pieces of work from these documents, usually features, would be written on blue index cards The information on these feature cards only needed to be brief perhaps a title and a document section The nature of the product and the existing code base meant that one blue card usually represented more work than could be done in a short space of time Developers would break the work down into a set of tasks written on white index cards So for every blue feature card there would be multiple white task cards The breakdown was usually done during the bi-weekly planning meetings If the feature was very complicated or poorly understood, a special meeting might be held to discuss the work and break it down into task cards Developers could also add white task cards to the work pile if they felt that some piece of remedial work was needed typically, this was larger refactorings In the bi-weekly planning meeting, the product manager would select the features to be implemented during the next iteration During the iteration, the team would focus on only these features and their associated tasks Other blue cards would be held of ine in an index card box Work estimation was done in abstract numerical points At rst this caused some confusion, but teams quickly came to a shared understanding of how much work could be ccomplished in a single point Estimates usually ranged between half a point and two points Occasionally, zero-point cards would be written to remind us of things, or for trivial tasks Although each team placed a slightly different value on a single point, we normally found that a card with a point value of more than two needed to be broken down further We also found that the more words were used on a white card to describe the task, the more accurate was the estimate Cards with brief descriptions were usually poorly understood and poorly estimated.

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Mappers need access to the fields in the domain objects Often this can be a problem because you need public methods to support the mappers you don't want for domain logic (I'm assuming that you won't commit the cardinal sin of making fields public) There's no easy to answer to this You could use a lower level of visibility by packaging the mappers closer to the domain objects, such as in the same package in Java but this confuses the bigger dependency picture because you don't want other parts of the system that know the domain objects to know about the mappers You can use reflection, which can often bypass the visibility rules of the language It's slower, but the slower speed may end up as just a rounding error compared to the time taken by the SQL call Or you can use public methods, but guard them with a status field so that they throw an exception if they're used outside the context of a database load If so, name them in such a way that they're not mistaken for regular getters and setters.

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