1. A computer-implemented method, used in an Agile environment, for allocating resources across a plurality of stories in a project during a release and scheduling the stories across a plurality of iterations within the release, wherein 1) each story represents at least one task executable by an appropriate resource and 2) the release represents a deadline for delivering the stories and is divided into one or more iterations representative of a sequence of time periods within the release, the method comprising: receiving, at a computing device, (i) resource information representing a plurality of resources available for allocation to the stories, (ii) one or more story-level constraints corresponding to each story, and iii) one or more optimization criteria for a level different from a story level, including an objective function defined by the equation max ⁡ ( ∑ k = 1 n ⁢ ⁢ F ⁡ [ S k ] ⁢ S ⁡ [ S k ] ) wherein n represents the number of stories in one or more iterations, S k represents the kth story in the one or more iterations, function F represents a feature-points function, and function S represents a successful and on-time completion function; applying, using the computing device, a first-level optimization scheme to generate a plurality of story-level allocation scenarios, wherein applying the first-level optimization scheme comprises: assigning an iteration to each of the stories; allocating one or more of the plurality of resources to one or more of the stories; and satisfying the one or more story-level constraints associated with each story; and applying, using the computing device, a second-level optimization scheme to determine one or more optimized story-level allocation scenarios from the plurality of story-level allocation scenarios, by optimizing assignment of iterations and allocation of resources to the stories while satisfying the one or more optimization criteria.
1. A computer-implemented method, used in an Agile environment, for allocating resources across a plurality of stories in a project during a release and scheduling the stories across a plurality of iterations within the release, wherein 1) each story represents at least one task executable by an appropriate resource and 2) the release represents a deadline for delivering the stories and is divided into one or more iterations representative of a sequence of time periods within the release, the method comprising: receiving, at a computing device, (i) resource information representing a plurality of resources available for allocation to the stories, (ii) one or more story-level constraints corresponding to each story, and iii) one or more optimization criteria for a level different from a story level, including an objective function defined by the equation max ⁡ ( ∑ k = 1 n ⁢ ⁢ F ⁡ [ S k ] ⁢ S ⁡ [ S k ] ) wherein n represents the number of stories in one or more iterations, S k represents the kth story in the one or more iterations, function F represents a feature-points function, and function S represents a successful and on-time completion function; applying, using the computing device, a first-level optimization scheme to generate a plurality of story-level allocation scenarios, wherein applying the first-level optimization scheme comprises: assigning an iteration to each of the stories; allocating one or more of the plurality of resources to one or more of the stories; and satisfying the one or more story-level constraints associated with each story; and applying, using the computing device, a second-level optimization scheme to determine one or more optimized story-level allocation scenarios from the plurality of story-level allocation scenarios, by optimizing assignment of iterations and allocation of resources to the stories while satisfying the one or more optimization criteria. 10. The computer-implemented method of claim 1 wherein the plurality of resources comprises one or more physical resources including one or more computer resources, one or more geographic locations, one or more supply materials, one or more equipment items, or any combination thereof.