Abstract: A computer-implemented end-to-end system for optimizing distributed development projects may include a Software as a Service (SaaS) collecting historical project metrics. A productivity factor analyzer may perform analysis of one or more productivity factors with one or more quantifiers to define an impact of a team composition and task split on a project development. A task splitter may perform identification of one or more split points that minimize negative impacts from a geographically distributed environment in communication and team collaboration. An indifference curve identifier processing device may identify trade-offs for client metrics and develop a set of contours for different development options. A development optimizer may calculate the team composition, and task splits based on the one or more split points, the set of contours, and the impact of a team composition and task split on the project development. A SaaS service automatically allocates task assignments to corresponding target workers.

Abstract: A method for estimating a risk associated with a project includes preparing a plurality of data models, where each of the plurality of data models examines a different dimension of the project, classifying each of the plurality of data models to produce a plurality of prediction models, where each of the plurality of prediction models is defined by a plurality of quality metrics, and where the plurality of quality metrics includes a preliminary estimate of the risk and a measure of confidence in the preliminary estimate, and computing a refined estimate of the risk based on a quality of the plurality of quality metrics.

Abstract: A method for estimating a risk associated with a project includes preparing a plurality of data models, where each of the plurality of data models examines a different dimension of the project, classifying each of the plurality of data models to produce a plurality of prediction models, where each of the plurality of prediction models is defined by a plurality of quality metrics, and where the plurality of quality metrics includes a preliminary estimate of the risk and a measure of confidence in the preliminary estimate, and computing a refined estimate of the risk based on a quality of the plurality of quality metrics.

Abstract: A method and system for assessing a software generation environment (SGE). The SGE has a plurality of SGE characteristics. At least one query is generated for each SGE characteristic. Each query has a plurality of response choices and each response choice has a numerical score. A selected response choice is received for each query. A SGE score is computed and displayed for each SGE characteristic. The SGE score for each SGE characteristic is equal to a summation of the numerical scores associated with the selected response choices for the SGE characteristic. A total score is computed and displayed, wherein the total score is equal to a summation of the SGE scores.

Abstract: A method and system for assessing a software generation environment (SGE). The SGE has a plurality of SGE characteristics. At least one query is generated for each SGE characteristic. Each query has a plurality of response choices and each response choice has a numerical score. A selected response choice is received for each query. A SGE score is computed and displayed for each SGE characteristic. The SGE score for each SGE characteristic is equal to a summation of the numerical scores associated with the selected response choices for the SGE characteristic. A total score is computed and displayed, wherein the total score is equal to a summation of the SGE scores.

Abstract: A method, system and computer program product for creating and managing a development environment that mimics a target environment where the software application may be implemented. Control information, e.g., client standards for the hardware and software components in the target environment, may be used to synchronously detect a problem in the development environment during the process of receiving, reviewing, assigning and processing a request, e.g., request to develop the development environment, request to implement a change in the development environment, request to correct a problem detected in the development environment. Once a violated condition of the control information has been detected, the appropriate developer or team of developers may be notified to correct the problem.