Software product development defect and issue prediction and diagnosis

摘要

According to an example, with respect to software product development defect and issue prediction and diagnosis, worker profile information and worker state information for a plurality of workers involved in development of a product may be ascertained. A general worker signature that includes a plurality of clusters for all of the plurality of workers may be generated. For each of the plurality of workers, an individual worker signature vector that represents at least one cluster of the plurality of clusters that an individual worker is aligned to may be generated. A product signature vector may be generated based on product state information. Further, an output that includes an explanation for a defect associated with the development of the product may be generated based on a neural network model based analysis of the individual worker signature vectors and the product signature vector over a temporal dimension.