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Many in the Scientific Computing Software community believe that upfrontrequirements are impossible, or at least infeasible. This paper showsrequirements are feasible with the following: i) an appropriate perspective("faking" the final documentation as if requirements were correct and completefrom the start, and gathering requirements as if for a family of programs); ii)the aid of the right principles (abstraction, separation of concerns,anticipation of change, and generality); iii) employing SCS specific templates(for Software Requirements and Module Interface Specification); iv) using adesign process that enables change (information hiding); and, v) the aid ofmodern tools (version control, issue tracking, checking, generation andautomation tools). Not only are upfront requirements feasible, they providesignificant benefits, including facilitating communication, earlyidentification of errors, better design decisions and enabling replicability.The topics listed above are explained, justified and illustrated via an exampleof software developed by a small team of software and mechanical engineers formodelling the solidification of a metal alloy.

Debunking the Myth that Upfront Requirements are Infeasible for Scientific Computing Software