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One must learn by doing the thing; for though you think you know it, you have no certainty, until you try Sophocles
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Almost all software projects are attempting something that nobody has done before (or at least that nobody in the organization has done before) That something may refer to the people involved, the application domain, the technology being used, or (most likely) a combination of these In spite of the best efforts of our discipline, all but the most routine projects have elements of surprise Interesting projects those likely to provide the most bene t usually have a lot of surprises Developers often don t completely understand the technologies they re using They have to learn how the components work whilst completing the project Even if they have a good understanding of the technologies, new applications can force them into unfamiliar corners A system that combines many signi cant components (which means most of what a professional programmer works on) will be too complex for any individual to understand all of its possibilities For customers and end users, the experience is worse The process of building a system forces them to look at their organization more closely than they have before They re often left to negotiate and codify processes that, until now, have been based on convention and experience Everyone involved in a software project has to learn as it progresses For the project to succeed, the people involved have to work together just to understand what they re supposed to achieve, and to identify and resolve misunderstandings along the way They all know there will be changes, they just don t know what changes They need a process that will help them cope with uncertainty as their experience grows to anticipate unanticipated changes
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We think that the best approach a team can take is to use empirical feedback to learn about the system and its use, and then apply that learning back to the system A team needs repeated cycles of activity In each cycle it adds new features and gets feedback about the quantity and quality of the work already done The team members split the work into time boxes, within which they analyze, design, implement, and deploy as many features as they can Deploying completed work to some kind of environment at each cycle is critical Every time a team deploys, its members have an opportunity to check their assumptions against reality They can measure how much progress they re really making, detect and correct any errors, and adapt the current plan in response to what they ve learned Without deployment, the feedback is not complete In our work, we apply feedback cycles at every level of development, organizing projects as a system of nested loops ranging from seconds to months, such as: pair programming, unit tests, acceptance tests, daily meetings, iterations, releases, and so on Each loop exposes the team s output to empirical feedback so that the team can discover and correct any errors or misconceptions The nested feedback loops reinforce each other; if a discrepancy slips through an inner loop, there is a good chance an outer loop will catch it Each feedback loop addresses different aspects of the system and development process The inner loops are more focused on the technical detail: what a unit of code does, whether it integrates with the rest of the system The outer loops are more focused on the organization and the team: whether the application serves its users needs, whether the team is as effective as it could be The sooner we can get feedback about any aspect of the project, the better Many teams in large organizations can release every few weeks Some teams release every few days, or even hours, which gives them an order of magnitude increase in opportunities to receive and respond to feedback from real users
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Incremental and Iterative Development In a project organized as a set of nested feedback loops, development is incremental and iterative Incremental development builds a system feature by feature, instead of building all the layers and components and integrating them at the end Each feature is implemented as an end-to-end slice through all the relevant parts of the system The system is always integrated and ready for deployment Iterative development progressively re nes the implementation of features in response to feedback until they are good enough
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