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    Puzzle Driven Development (PDD)

    The innovation is pending patent in United States Patent and Trademark Office (USPTO), patent application no. 12/840,306.

    Distributed software development is rapidly becoming the norm for technology companies. The ability of a company to successfully carry out its tasks depends on the appropriate combination of organizational structure, processes, and collaborative tools. Recent studies show that existing collaborative software tools are used mostly as "shared repositories", while discussions take place outside of the tool in e-mails, chats or phone calls.

    Consider an example where a programmer was assigned to implement a new software function. He created a new separate version control "branch", and was aware of "continuous integration" principle advocated in the project. The implementation was planned to take a few days, but he faced a few problems and raised a number of questions during development. Once his questions were answered and the branch was ready for integration with the main stream, he realized that the main stream received a number of important changes. Synchronization of the branch with the main stream took some time, and produced new questions and problems. After a number of such synchronization iterations, the branch was considered as out-dated and was closed.

    The example illustrates a "delayed branch" problem, which does not have a solution in existing software development methodologies. There are a number of possible workarounds, including: a) breaking the principle of continuous integration and merging of a "broken" branch with the main stream; b) closing the branch after the first problem or question, in order to minimize time and cost losses; or c) pausing the branch and hoping for the best.

    None of these workarounds really solve the problem. However, a solution is needed because its absence can effectively ruin the development of an enterprise project, especially if the team is remotely distributed.

    Summary

    The invented "PDD" includes a specific method and software that resolves the problem of "delayed branches" conflict in concurrent distributed software development, and in many other types of software development projects.

    Every time a developer is working with a branch and sees a problem or a question that needs the participation of another programmer, he implements a temporary solution that keeps the code compilable. He marks the place in the code with @todo tag (called "puzzle") and merges the branch into trunk. The "puzzle" includes the identifier of a task he was working with. As long as the "puzzle" stays in source code, a project manager considers the task as incomplete and pending resolution. The project manager assigns "puzzle" resolution to other team members. When all "puzzles" are resolved, the project manager returns the task back to the programmer, asking him to continue with development.

    The key advantage of the PDD method, comparing with all other known approaches, is the absence of long branches. Implementation of every task, no matter how difficult it is, takes a few hours in one iteration. Then the task is set to pending state and new "puzzles" are merged into trunk. Project planning becomes more predictable and simple, since the project manager is dealing with a large amount of small isolated tasks, instead of long and risky activities. With this method, cost and scope control also becomes more effective.

    Properly used "puzzles" becomes the main management and communication mechanism in a distributed software project, replacing e-mails, online discussions and phone calls. Moreover, the PDD software collects "puzzles" from source code and builds short-term plans of key development tasks.

    Example

    The diagram compares two approaches visually explaining source code repository changes and merges. Workflow A uses PDD concept and creates three branches during the development of the feature. Workflow B uses a "delayed branch" approach and creates just one branch during the development of the same feature. The picture clearly indicates that Workflow B has much higher risk of conflict during branch merging with the trunk.

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    Workflow B in details (the workflow is a simplified example of a real-life software project): The source code repository is in revision 1, and the programmer receives a task from the project manager and starts a new branch in order to implement it. The programmer makes initial implementation and commits changes with 2. Suddenly, the programmer understands that he does not have enough information in order to complete the task, so he asks the project manager for help. The project manager decides that the architect should be helpful in this situation and forwards the request to him. Once the answer is ready, the programmer receives it (by e-mail).

    According to the information received, the programmer makes his next commit to the repository. While the programmer was waiting for the answer, the repository received two changes from other team members, in revisions 3 and 4. Thus, the programmer commits his changes in revision 5. Now, the feature is almost finished and only one final change has to be done before returning it back to the trunk. The programmer makes that change and commits it to the repository, in revision 7. The project manager is notified about the finished feature and merges the branch into the trunk in 9. Revisions 7 and 8 were committed to the repository by other project team members. The distance between merging the branch into the trunk and starting the branch is 7 revisions.

    To the contrary, Workflow A looks differently: The repository is in revision 1 and the programmer makes her first changes in 2 (similar to Workflow B). Now the programmer understands the necessity of additional information and refers to the project manager. The programmer makes the branch ready for merging into trunk by means of "stubs" and properly commented places, which are not implemented yet. The project manager merges the branch into trunk in revision 5 (the distance is 2 revisions and the risk of conflict is much lower than in Workflow B). The project manager decides who is going to resolve the question asked by the programmer, finds the right person, assigns this problem to him and waits for the answer. The answer comes in a new branch, revision 7, where the architect (author of the answer) makes comment right inside the source code. This branch immediately goes into trunk, in revision 8. The project manager returns the task back to the programmer and asks him to finish the task, since all answers are received and embedded in the source code. The programmer starts a new branch and implements the code she could not implement before. The programmer makes changes in revision 9 and the project manager merges them into trunk in 11. The longest distance is 2 revisions and the risk of conflict during merging is much smaller than in Workflow B.

    It is obvious that a long-lasting branch (as in Workflow B) will cause higher risks of conflicts during merging into the trunk. With shorter branches, every programmer has more flexibility and freedom to make risky changes without a high risk of being rejected during merging.

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